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7a2b1aeb1..000000000 --- a/docs/_build/html/api/class___dict.html +++ /dev/null @@ -1,270 +0,0 @@ - - - - - - - - - - Class _Dict — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class _Dict

- -
-

Class Documentation

-
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-class _Dict
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Public Functions

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-_Dict()
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- -
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-~_Dict()
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- -
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Public Members

-
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-int n = 0
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- -
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-size_t size
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- -
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-std::vector<std::string> section
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-std::vector<std::string> value
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-std::vector<std::string> key
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- -
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- -
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- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_attractive___sector.html b/docs/_build/html/api/class_attractive___sector.html deleted file mode 100644 index e28aaf231..000000000 --- a/docs/_build/html/api/class_attractive___sector.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Class Attractive_Sector — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Attractive_Sector

- -
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Inheritance Relationships

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Base Type

- -
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Class Documentation

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-class Attractive_Sector : public IOHprofiler_problem<double>
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Public Functions

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-Attractive_Sector(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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-~Attractive_Sector()
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- -
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-void prepare_problem()
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- -
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-double internal_evaluate(const std::vector<double> &x)
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- -
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Public Static Functions

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-Attractive_Sector *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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- -
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- - -
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- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_b_b_o_b__suite.html b/docs/_build/html/api/class_b_b_o_b__suite.html deleted file mode 100644 index 1319e8fcf..000000000 --- a/docs/_build/html/api/class_b_b_o_b__suite.html +++ /dev/null @@ -1,271 +0,0 @@ - - - - - - - - - - Class BBOB_suite — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class BBOB_suite

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Inheritance Relationships

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Base Type

- -
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Class Documentation

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-class BBOB_suite : public IOHprofiler_suite<double>
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Public Functions

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-BBOB_suite()
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- -
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-BBOB_suite(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension)
-
- -
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-void registerProblem()
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Implementation of virtual function of base class IOHprofiler_suite.

-

23 functions are included in the BBOB_suite.

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- -
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Public Static Functions

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-BBOB_suite *createInstance()
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- -
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-BBOB_suite *createInstance(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension)
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_bent___cigar.html b/docs/_build/html/api/class_bent___cigar.html deleted file mode 100644 index bb412633c..000000000 --- a/docs/_build/html/api/class_bent___cigar.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Class Bent_Cigar — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Bent_Cigar

- -
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Inheritance Relationships

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Base Type

- -
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Class Documentation

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-class Bent_Cigar : public IOHprofiler_problem<double>
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Public Functions

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-Bent_Cigar(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-~Bent_Cigar()
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- -
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-void prepare_problem()
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- -
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-double internal_evaluate(const std::vector<double> &x)
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Public Static Functions

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-Bent_Cigar *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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- -
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- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_bueche___rastrigin.html b/docs/_build/html/api/class_bueche___rastrigin.html deleted file mode 100644 index 12112825d..000000000 --- a/docs/_build/html/api/class_bueche___rastrigin.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Class Bueche_Rastrigin — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Bueche_Rastrigin

- -
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Inheritance Relationships

-
-

Base Type

- -
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Class Documentation

-
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-class Bueche_Rastrigin : public IOHprofiler_problem<double>
-
-

Public Functions

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-Bueche_Rastrigin(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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-~Bueche_Rastrigin()
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- -
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-void prepare_problem()
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- -
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-double internal_evaluate(const std::vector<double> &x)
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- -
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Public Static Functions

-
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-Bueche_Rastrigin *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
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- -
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- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_coco___transformation___data.html b/docs/_build/html/api/class_coco___transformation___data.html deleted file mode 100644 index 51918c9c3..000000000 --- a/docs/_build/html/api/class_coco___transformation___data.html +++ /dev/null @@ -1,332 +0,0 @@ - - - - - - - - - - Class Coco_Transformation_Data — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Coco_Transformation_Data

- -
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Class Documentation

-
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-class Coco_Transformation_Data
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-

Public Static Attributes

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-std::vector<double> raw_x = std::vector<double>(0)
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-std::vector<double> xopt = std::vector<double>(0)
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-std::vector<double> tmp1 = std::vector<double>(0)
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-double fopt = 0
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-double penalty_factor = 0
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-double factor = 0
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- -
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-double lower_bound = 0
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-double upper_bound = 0
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-std::vector<std::vector<double>> M = std::vector<std::vector<double>>(0)
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-std::vector<double> b = std::vector<double>(0)
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- -
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-std::vector<std::vector<double>> M1 = std::vector<std::vector<double>>(0)
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- -
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-std::vector<double> b1 = std::vector<double>(0)
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- -
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-std::vector<std::vector<double>> rot1 = std::vector<std::vector<double>>(0)
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- -
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-std::vector<std::vector<double>> rot2 = std::vector<std::vector<double>>(0)
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-std::vector<double> datax = std::vector<double>(0)
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- -
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-std::vector<double> dataxx = std::vector<double>(0)
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-std::vector<double> minus_one = std::vector<double>(0)
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-double condition = 0
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- -
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-long rseed = 0
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_concatenated___trap.html b/docs/_build/html/api/class_concatenated___trap.html deleted file mode 100644 index c179519b4..000000000 --- a/docs/_build/html/api/class_concatenated___trap.html +++ /dev/null @@ -1,272 +0,0 @@ - - - - - - - - - - Class Concatenated_Trap — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Concatenated_Trap

- -
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Inheritance Relationships

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Base Type

- -
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Class Documentation

-
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-class Concatenated_Trap : public IOHprofiler_problem<int>
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Public Functions

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-Concatenated_Trap(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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-~Concatenated_Trap()
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-double internal_evaluate(const std::vector<int> &x)
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- -
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Public Members

-
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-int k = 5
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- -
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Public Static Functions

-
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-Concatenated_Trap *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_different___powers.html b/docs/_build/html/api/class_different___powers.html deleted file mode 100644 index 247e14efc..000000000 --- a/docs/_build/html/api/class_different___powers.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Class Different_Powers — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Different_Powers

- -
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Inheritance Relationships

-
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Base Type

- -
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Class Documentation

-
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-class Different_Powers : public IOHprofiler_problem<double>
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Public Functions

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-Different_Powers(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-~Different_Powers()
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-void prepare_problem()
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-double internal_evaluate(const std::vector<double> &x)
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Public Static Functions

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-Different_Powers *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_discus.html b/docs/_build/html/api/class_discus.html deleted file mode 100644 index 70cb61294..000000000 --- a/docs/_build/html/api/class_discus.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Class Discus — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Discus

- -
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Inheritance Relationships

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Base Type

- -
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Class Documentation

-
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-class Discus : public IOHprofiler_problem<double>
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Public Functions

-
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-Discus(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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-~Discus()
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-void prepare_problem()
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-double internal_evaluate(const std::vector<double> &x)
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Public Static Functions

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-Discus *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_ellipsoid.html b/docs/_build/html/api/class_ellipsoid.html deleted file mode 100644 index 301a44845..000000000 --- a/docs/_build/html/api/class_ellipsoid.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Class Ellipsoid — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Ellipsoid

- -
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Inheritance Relationships

-
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Base Type

- -
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Class Documentation

-
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-class Ellipsoid : public IOHprofiler_problem<double>
-
-

Public Functions

-
-
-Ellipsoid(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
-~Ellipsoid()
-
- -
-
-void prepare_problem()
-
- -
-
-double internal_evaluate(const std::vector<double> &x)
-
- -
-
-

Public Static Functions

-
-
-Ellipsoid *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
- -
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_ellipsoid___rotated.html b/docs/_build/html/api/class_ellipsoid___rotated.html deleted file mode 100644 index cc268d228..000000000 --- a/docs/_build/html/api/class_ellipsoid___rotated.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Class Ellipsoid_Rotated — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- -
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-
-
-
- -
-

Class Ellipsoid_Rotated

- -
-

Inheritance Relationships

-
-

Base Type

- -
-
-
-

Class Documentation

-
-
-class Ellipsoid_Rotated : public IOHprofiler_problem<double>
-
-

Public Functions

-
-
-Ellipsoid_Rotated(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
-~Ellipsoid_Rotated()
-
- -
-
-void prepare_problem()
-
- -
-
-double internal_evaluate(const std::vector<double> &x)
-
- -
-
-

Public Static Functions

-
-
-Ellipsoid_Rotated *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
- -
-
- - -
- -
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-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_gallagher101.html b/docs/_build/html/api/class_gallagher101.html deleted file mode 100644 index a1be25860..000000000 --- a/docs/_build/html/api/class_gallagher101.html +++ /dev/null @@ -1,302 +0,0 @@ - - - - - - - - - - Class Gallagher101 — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Gallagher101

- -
-

Inheritance Relationships

-
-

Base Type

- -
-
-
-

Class Documentation

-
-
-class Gallagher101 : public IOHprofiler_problem<double>
-
-

Public Functions

-
-
-Gallagher101(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
-~Gallagher101()
-
- -
-
-void prepare_problem()
-
- -
-
-double internal_evaluate(const std::vector<double> &x)
-
- -
-
-

Public Members

-
-
-std::vector<double> xopt
-
- -
-
-const size_t number_of_peaks = 101
-
- -
-
-std::vector<std::vector<double>> rotation
-
- -
-
-std::vector<std::vector<double>> arr_scales
-
- -
-
-std::vector<std::vector<double>> x_local
-
- -
-
-std::vector<double> peak_values
-
- -
-
-

Public Static Functions

-
-
-Gallagher101 *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
- -
-
- - -
- -
- - -
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- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_gallagher21.html b/docs/_build/html/api/class_gallagher21.html deleted file mode 100644 index b537a66fe..000000000 --- a/docs/_build/html/api/class_gallagher21.html +++ /dev/null @@ -1,302 +0,0 @@ - - - - - - - - - - Class Gallagher21 — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Gallagher21

- -
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Inheritance Relationships

-
-

Base Type

- -
-
-
-

Class Documentation

-
-
-class Gallagher21 : public IOHprofiler_problem<double>
-
-

Public Functions

-
-
-Gallagher21(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
-~Gallagher21()
-
- -
-
-void prepare_problem()
-
- -
-
-double internal_evaluate(const std::vector<double> &x)
-
- -
-
-

Public Members

-
-
-std::vector<double> xopt
-
- -
-
-const size_t number_of_peaks = 21
-
- -
-
-std::vector<std::vector<double>> rotation
-
- -
-
-std::vector<std::vector<double>> arr_scales
-
- -
-
-std::vector<std::vector<double>> x_local
-
- -
-
-std::vector<double> peak_values
-
- -
-
-

Public Static Functions

-
-
-Gallagher21 *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
- -
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_griewank___rosen_brock.html b/docs/_build/html/api/class_griewank___rosen_brock.html deleted file mode 100644 index 566928b7c..000000000 --- a/docs/_build/html/api/class_griewank___rosen_brock.html +++ /dev/null @@ -1,277 +0,0 @@ - - - - - - - - - - Class Griewank_RosenBrock — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Griewank_RosenBrock

- -
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Inheritance Relationships

-
-

Base Type

- -
-
-
-

Class Documentation

-
-
-class Griewank_RosenBrock : public IOHprofiler_problem<double>
-
-

Public Functions

-
-
-Griewank_RosenBrock(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
-~Griewank_RosenBrock()
-
- -
-
-void prepare_problem()
-
- -
-
-double internal_evaluate(const std::vector<double> &x)
-
- -
-
-

Public Members

-
-
-double scales
-
- -
-
-

Public Static Functions

-
-
-Griewank_RosenBrock *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
-
- -
-
- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_i_o_hprofiler__configuration.html b/docs/_build/html/api/class_i_o_hprofiler__configuration.html deleted file mode 100644 index 3dee119db..000000000 --- a/docs/_build/html/api/class_i_o_hprofiler__configuration.html +++ /dev/null @@ -1,343 +0,0 @@ - - - - - - - - - - Class IOHprofiler_configuration — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class IOHprofiler_configuration

- -
-

Class Documentation

-
-
-class IOHprofiler_configuration
-

A class of configuration files, to be used in IOHprofiler_experimenter.

-
-

Public Functions

-
-
-IOHprofiler_configuration()
-
- -
-
-int set_Dict(_Dict &dict, const std::string section, const std::string key, const std::string value)
-
- -
-
-std::string get_Dict_String(const _Dict dict, const std::string section, const std::string key)
-
- -
-
-std::vector<int> get_Dict_int_vector(const _Dict dict, const std::string section, const std::string key, const int _min, const int _max)
-
- -
-
-int get_Dict_Int(const _Dict dict, const std::string section, const std::string key)
-
- -
-
-bool get_Dict_bool(const _Dict dict, const std::string section, const std::string key)
-
- -
-
-linecontent add_Line(const std::string input_line, std::string &section, std::string &key, std::string &value)
-
- -
-
-_Dict load(const std::string filename)
-
- -
-
-void readcfg(std::string filename)
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- -
-
-std::string get_suite_name()
-
- -
-
-std::vector<int> get_problem_id()
-
- -
-
-std::vector<int> get_instance_id()
-
- -
-
-std::vector<int> get_dimension()
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- -
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-std::string get_output_directory()
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- -
-
-std::string get_result_folder()
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- -
-
-std::string get_algorithm_info()
-
- -
-
-std::string get_algorithm_name()
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- -
-
-bool get_complete_triggers()
-
- -
-
-bool get_update_triggers()
-
- -
-
-std::vector<int> get_base_evaluation_triggers()
-
- -
-
-int get_number_target_triggers()
-
- -
-
-int get_number_interval_triggers()
-
- -
-
- -
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_i_o_hprofiler__csv__logger.html b/docs/_build/html/api/class_i_o_hprofiler__csv__logger.html deleted file mode 100644 index f90b2ea80..000000000 --- a/docs/_build/html/api/class_i_o_hprofiler__csv__logger.html +++ /dev/null @@ -1,406 +0,0 @@ - - - - - - - - - - Class IOHprofiler_csv_logger — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Class IOHprofiler_csv_logger

- -
-

Inheritance Relationships

-
-

Base Type

- -
-
-
-

Class Documentation

-
-
-class IOHprofiler_csv_logger : public IOHprofiler_observer
-

A class of logging csv files.

-

To activate logger functions as evaluating problems, a ‘logger’ must be added to IOHprofiler_problem by the statement ‘problem.add_logger(logger)’.

-
-

Public Functions

-
-
-IOHprofiler_csv_logger()
-
- -
-
-IOHprofiler_csv_logger(std::string directory, std::string folder_name, std::string alg_name, std::string alg_info)
-
- -
-
-~IOHprofiler_csv_logger()
-
- -
-
-bool folder_exist(std::string folder_name)
-
- -
-
-void activate_logger()
-
- -
-
-void clear_logger()
-
- -
-
-void add_dynamic_attribute(const std::vector<std::shared_ptr<double>> &attributes)
-
- -
-
-void add_dynamic_attribute(const std::vector<std::shared_ptr<double>> &attributes, const std::vector<std::string> &attributes_name)
-
- -
-
-void set_dynamic_attributes_name(const std::vector<std::string> &attributes_name)
-

Only for python wrapper.

-
- -
-
-void set_dynamic_attributes_name(const std::vector<std::string> &attributes_name, const std::vector<double> &initial_attributes)
-

Only for python wrapper.

-
- -
-
-void set_dynamic_attributes(const std::vector<std::string> &attributes_name, const std::vector<double> &attributes)
-

Only for python wrapper.

-
- -
-
-void add_attribute(std::string, int)
-
- -
-
-void add_attribute(std::string, double)
-
- -
-
-void add_attribute(std::string, float)
-
- -
-
-void add_attribute(std::string, std::string)
-
- -
-
-void delete_attribute(std::string)
-
- -
-
-void track_problem(const int problem_id, const int dimension, const int instance, const std::string problem_name, const IOH_optimization_type maximization_minimization_flag)
-
- -
-
-void track_problem(const IOHprofiler_problem<int> &problem)
-
- -
-
-void track_problem(const IOHprofiler_problem<double> &problem)
-
- -
-
-void track_suite(std::string suite_name)
-
- -
-
-void openInfo(int problem_id, int dimension, std::string problem_name)
-
- -
-
-void write_info(int instance, double best_y, double best_transformed_y, int evaluations, double last_y, double last_transformed_y, int last_evaluations)
-
- -
-
-void write_line(const size_t evaluations, const double y, const double best_so_far_y, const double transformed_y, const double best_so_far_transformed_y)
-

-
- -
-
-void do_log(const std::vector<double> &log_info)
-
- -
-
-void write_line(const std::vector<double> &log_info)
-
- -
-
-void update_logger_info(size_t optimal_evaluations, double y, double transformed_y)
-

This functions is to update infomation to be used in *.info files.

-
- -
-
-void set_parameters(const std::vector<std::shared_ptr<double>> &parameters)
-
- -
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-void set_parameters(const std::vector<std::shared_ptr<double>> &parameters, const std::vector<std::string> &parameters_name)
-
- -
-
-void set_parameters_name(const std::vector<std::string> &parameters_name)
-

Only for python wrapper.

-
- -
-
-void set_parameters_name(const std::vector<std::string> &parameters_name, const std::vector<double> &initial_parameters)
-

Only for python wrapper.

-
- -
-
-void set_parameters(const std::vector<std::string> &parameters_name, const std::vector<double> &parameters)
-

Only for python wrapper.

-
- -
-
- -
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_i_o_hprofiler__experimenter.html b/docs/_build/html/api/class_i_o_hprofiler__experimenter.html deleted file mode 100644 index 8d55e68bc..000000000 --- a/docs/_build/html/api/class_i_o_hprofiler__experimenter.html +++ /dev/null @@ -1,280 +0,0 @@ - - - - - - - - - - Template Class IOHprofiler_experimenter — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Template Class IOHprofiler_experimenter

- -
-

Class Documentation

-
-
-template<class InputType>
class IOHprofiler_experimenter
-
-

Public Types

-
-
-typedef void _algorithm(std::shared_ptr<IOHprofiler_problem<InputType>>, std::shared_ptr<IOHprofiler_csv_logger> logger)
-
- -
-
-

Public Functions

-
-
-IOHprofiler_experimenter()
-
- -
-
-IOHprofiler_experimenter(std::string configFileName, _algorithm *algorithm)
-
- -
-
-IOHprofiler_experimenter(IOHprofiler_suite<InputType> suite, std::shared_ptr<IOHprofiler_csv_logger> csv_logger, _algorithm *algorithm)
-
- -
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-~IOHprofiler_experimenter()
-
- -
-
-void _run()
-
- -
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-void _set_independent_runs(int n)
-
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-void print_info(std::string info)
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-std::string vectorToString(std::vector<int> v)
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_i_o_hprofiler__observer.html b/docs/_build/html/api/class_i_o_hprofiler__observer.html deleted file mode 100644 index c62e5cf25..000000000 --- a/docs/_build/html/api/class_i_o_hprofiler__observer.html +++ /dev/null @@ -1,350 +0,0 @@ - - - - - - - - - - Class IOHprofiler_observer — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class IOHprofiler_observer

- -
-

Inheritance Relationships

-
-

Derived Type

- -
-
-
-

Class Documentation

-
-
-class IOHprofiler_observer
-

A class of methods of setting triggers recording evaluations.

-

Four methods is introduced here:

    -
  1. Recording evaluations by a static interval.

  2. -
  3. Recording complete evaluations.

  4. -
  5. Recording evaluations as the best found solution is updated.

  6. -
  7. Recording evaluations at pre-defined points or/and with a static number for each exponential bucket.

  8. -
-

-

Subclassed by IOHprofiler_csv_logger

-
-

Public Functions

-
-
-IOHprofiler_observer()
-
- -
-
-~IOHprofiler_observer()
-
- -
-
-IOHprofiler_observer(const IOHprofiler_observer&) = delete
-
- -
-
-IOHprofiler_observer &operator=(const IOHprofiler_observer&) = delete
-
- -
-
-void set_complete_flag(bool complete_flag)
-
- -
-
-bool complete_status() const
-
- -
-
-bool complete_trigger() const
-
- -
-
-void set_interval(int interval)
-
- -
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-bool interval_status() const
-
- -
-
-bool interval_trigger(size_t evaluations) const
-
- -
-
-void set_update_flag(bool update_flag)
-
- -
-
-bool update_trigger(double fitness, IOH_optimization_type optimization_type)
-
- -
-
-bool update_status() const
-
- -
-
-void set_time_points(const std::vector<int> &time_points, const int number_of_evaluations, const int time_points_exp_base1 = 10, const int time_points_exp_base2 = 10)
-
- -
-
-bool time_points_status() const
-
- -
-
-bool time_points_trigger(size_t evaluations)
-
- -
-
-void reset_observer(const IOH_optimization_type optimization_type)
-
- -
-
-void do_log(const std::vector<double> &log_info)
-
- -
-
-void track_problem(const IOHprofiler_problem<int> &problem)
-
- -
-
-void track_problem(const IOHprofiler_problem<double> &problem)
-
- -
-
- -
-
- - -
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-
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- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_i_o_hprofiler__problem.html b/docs/_build/html/api/class_i_o_hprofiler__problem.html deleted file mode 100644 index cdc870dad..000000000 --- a/docs/_build/html/api/class_i_o_hprofiler__problem.html +++ /dev/null @@ -1,543 +0,0 @@ - - - - - - - - - - Template Class IOHprofiler_problem — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Template Class IOHprofiler_problem

- -
-

Inheritance Relationships

-
-

Derived Type

- -
-
-
-

Class Documentation

-
-
-template<class InputType>
class IOHprofiler_problem
-

A base class for defining problems.

-

Basic structure for IOHExperimentor, which is used for generating benchmark problems. To define a new problem, the ‘internal_evaluate’ method must be defined. The problem sets as maximization by default. If the ‘best_variables’ are given, the optimal of the problem will be calculated with the ‘best_variables’; or you can set the optimal by defining the ‘customized_optimal’ function; otherwise, the optimal is set as min()(max()) for maximization(minimization). If additional calculation is needed by ‘internal_evaluate’, you can configure it in ‘prepare_problem()’.

-

Subclassed by IOHprofiler_suite< InputType >

-
-

Public Functions

-
-
-IOHprofiler_problem(int instance_id = 1, int dimension = 4)
-
- -
-
-~IOHprofiler_problem()
-
- -
-
-IOHprofiler_problem(const IOHprofiler_problem&) = delete
-
- -
-
-IOHprofiler_problem &operator=(const IOHprofiler_problem&) = delete
-
- -
-
-double internal_evaluate(const std::vector<InputType> &x)
-

A virtual internal evaluate function.

-

The internal_evaluate function is to be used in evaluate function. This function must be decalred in derived function of new problems.

-
- -
-
-void prepare_problem()
-
- -
-
-double evaluate(std::vector<InputType> x)
-

\brife A common function for evaluating fitness of problems.

-

Raw evaluate process, tranformation operations, and logging process are excuted in this function.

-
Return

A double vector of objectives.

-
-
Parameters
    -
  • x: A InputType vector of variables.

  • -
-
-
-

-
- -
-
-void customize_optimal()
-
- -
-
-void calc_optimal()
-

A function to calculate optimal of the problem. It will be revoked after setting dimension (number_of_variables) or instance_id.

-
- -
-
-void reset_problem()
-

Reset problem as the default condition before doing evaluating.

-

-
- -
-
-std::vector<double> loggerCOCOInfo() const
-
- -
-
-std::vector<double> loggerInfo() const
-
- -
-
-bool IOHprofiler_hit_optimal() const
-

Detect if the optimal have been found.

-
- -
-
-int IOHprofiler_get_problem_id() const
-
- -
-
-void IOHprofiler_set_problem_id(int problem_id)
-
- -
-
-int IOHprofiler_get_instance_id() const
-
- -
-
-void IOHprofiler_set_instance_id(int instance_id)
-

To set instance_id of the problem. Since the optimal will be updated as instanced_id updated, calc_optimal() is revoked here.

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  • instance_id:

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-std::string IOHprofiler_get_problem_name() const
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-void IOHprofiler_set_problem_name(std::string problem_name)
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-std::string IOHprofiler_get_problem_type() const
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-void IOHprofiler_set_problem_type(std::string problem_type)
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-std::vector<InputType> IOHprofiler_get_lowerbound() const
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-void IOHprofiler_set_lowerbound(int lowerbound)
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-void IOHprofiler_set_lowerbound(const std::vector<InputType> &lowerbound)
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-std::vector<InputType> IOHprofiler_get_upperbound() const
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-void IOHprofiler_set_upperbound(int upperbound)
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-void IOHprofiler_set_upperbound(const std::vector<InputType> &upperbound)
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-int IOHprofiler_get_number_of_variables() const
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-void IOHprofiler_set_number_of_variables(const int number_of_variables)
-

To set number_of_variables of the problem. When the number_of_variables is updated, best_variables, lowerbound, upperbound, and optimal need to be updated as well.

-

To set number_of_variables of the problem. When the number_of_variables is updated, best_variables, lowerbound, upperbound, and optimal need to be updated as well. In case the best value for each bit is not staic, another input ‘best_variables’ is supplied.

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-int IOHprofiler_get_number_of_objectives() const
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-void IOHprofiler_set_number_of_objectives(const int number_of_objectives)
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-std::vector<double> IOHprofiler_get_raw_objectives() const
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-std::vector<double> IOHprofiler_get_transformed_objectives() const
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-int IOHprofiler_get_transformed_number_of_variables() const
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-std::vector<InputType> IOHprofiler_get_transformed_variables() const
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-std::vector<InputType> IOHprofiler_get_best_variables() const
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-void IOHprofiler_set_best_variables(const InputType best_variables)
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-void IOHprofiler_set_best_variables(const std::vector<InputType> &best_variables)
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-std::vector<double> IOHprofiler_get_optimal() const
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-void IOHprofiler_set_optimal(const double optimal)
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-void IOHprofiler_evaluate_optimal()
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-int IOHprofiler_get_evaluations() const
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-std::vector<double> IOHprofiler_get_best_so_far_raw_objectives() const
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-int IOHprofiler_get_best_so_far_raw_evaluations() const
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-std::vector<double> IOHprofiler_get_best_so_far_transformed_objectives() const
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-IOH_optimization_type IOHprofiler_get_optimization_type() const
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_i_o_hprofiler__random.html b/docs/_build/html/api/class_i_o_hprofiler__random.html deleted file mode 100644 index 8a75394d8..000000000 --- a/docs/_build/html/api/class_i_o_hprofiler__random.html +++ /dev/null @@ -1,280 +0,0 @@ - - - - - - - - - - Class IOHprofiler_random — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class IOHprofiler_random

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Derived Type

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Class Documentation

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-class IOHprofiler_random
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Subclassed by NK_Landscapes

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Public Functions

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-IOHprofiler_random(uint32_t seed = 1000)
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-void IOHprofiler_random_generate()
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-double IOHprofiler_uniform_rand()
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Public Static Functions

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-long _lcg_rand(const long &inseed)
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-void IOHprofiler_uniform_rand(const size_t &N, const long &inseed, std::vector<double> &rand_vec)
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-std::vector<double> IOHprofiler_gauss(const size_t N, const long inseed)
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Template Class IOHprofiler_suite

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Class Documentation

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-template<class InputType>
class IOHprofiler_suite : public IOHprofiler_problem<InputType>, public std::vector<std::shared_ptr<IOHprofiler_problem<InputType>>>
-

A base class for construct a suite for sets of IOHprofiler_problems.

-

To specify available problems of a suite, registerProblem must be implemented in derived class. The default lable of problems are string type. Integer type are also optional, but we highly recommond registering problem with string lable and creating a map of string problem_name and integer problem_id.

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-

Public Types

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-typedef std::shared_ptr<IOHprofiler_problem<InputType>> Problem_ptr
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Public Functions

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-IOHprofiler_suite(std::vector<int> problem_id = std::vector<int>(0), std::vector<int> instance_id = std::vector<int>(0), std::vector<int> dimension = std::vector<int>(0))
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-~IOHprofiler_suite()
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-IOHprofiler_suite(const IOHprofiler_suite&) = delete
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-IOHprofiler_suite &operator=(const IOHprofiler_suite&) = delete
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-void registerInSuite()
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-void loadProblem()
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- -
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-Problem_ptr get_next_problem()
-

An interface of requesting problems in suite.

-

To request a specific problem with corresponding problem_id, instance_id and dimension, without concerning the order of testing problems.

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-Problem_ptr get_current_problem()
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-Problem_ptr get_problem(std::string problem_name, int instance, int dimension)
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-Problem_ptr get_problem(int problem_id, int instance, int dimension)
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-int IOHprofiler_suite_get_number_of_problems() const
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-int IOHprofiler_suite_get_number_of_instances() const
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-int IOHprofiler_suite_get_number_of_dimensions() const
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-std::vector<int> IOHprofiler_suite_get_problem_id() const
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-std::map<int, std::string> IOHprofiler_suite_get_problem_name() const
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-std::map<std::string, int> IOHprofiler_suite_get_problems() const
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Return a map of problem name to problem ID, for all the registered problem.

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-std::vector<int> IOHprofiler_suite_get_instance_id() const
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-std::vector<int> IOHprofiler_suite_get_dimension() const
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-std::string IOHprofiler_suite_get_suite_name() const
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-void IOHprofiler_set_suite_problem_id(const std::vector<int> &problem_id)
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-void IOHprofiler_set_suite_instance_id(const std::vector<int> &instance_id)
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-void IOHprofiler_set_suite_dimension(const std::vector<int> &dimension)
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-void IOHprofiler_set_suite_name(const std::string suite_name)
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-void mapIDTOName(const int id, const std::string name)
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_i_o_hprofiler__transformation.html b/docs/_build/html/api/class_i_o_hprofiler__transformation.html deleted file mode 100644 index dfcfb78fa..000000000 --- a/docs/_build/html/api/class_i_o_hprofiler__transformation.html +++ /dev/null @@ -1,304 +0,0 @@ - - - - - - - - - - Class IOHprofiler_transformation — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class IOHprofiler_transformation

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Class Documentation

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-class IOHprofiler_transformation
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A class consisting of transformation methods.

-
-

Public Functions

-
-
-void variables_transformation(std::vector<int> &x, const int problem_id, const int instance_id, const std::string problem_type)
-

Transformation operations on variables.

-

For instance_id in ]1,50], xor operation is applied. For instance_id in ]50,100], sigma function is applied.

-
- -
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-void variables_transformation(std::vector<double> &x, const int problem_id, const int instance_id, const std::string problem_type)
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-void objectives_transformation(const std::vector<int> &x, std::vector<double> &y, const int problem_id, const int instance_id, const std::string problem_type)
-

Transformation operations on objectives (a * f(x) + b).

-
- -
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-void objectives_transformation(const std::vector<double> &x, std::vector<double> &y, const int problem_id, const int instance_id, const std::string problem_type)
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- -
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-void transform_vars_xor(std::vector<int> &x, const int seed)
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Applying xor operations on x with a uniformly random bit string.

-
- -
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-void transform_vars_sigma(std::vector<int> &x, const int seed)
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Disrupting the order of x.

-
- -
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-void transform_obj_scale(std::vector<double> &y, const int seed)
-

transformation ‘a * f(x)’.

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-void transform_obj_shift(std::vector<double> &y, const int seed)
-

transformation ‘f(x) + b’.

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-void transform_obj_scale(double &y, const int seed)
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-void transform_obj_shift(double &y, const int seed)
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Public Static Functions

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-int xor_compute(const int x1, const int x2)
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Exclusive or operation on x1, x2. x1 and x2 should either 0 or 1.

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-int sigma_compute(const std::vector<int> &x, const int pos)
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Class Ising_Ring

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Inheritance Relationships

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Base Type

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Class Documentation

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-class Ising_Ring : public IOHprofiler_problem<int>
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Public Functions

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-Ising_Ring(int instance_id, int dimension)
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-int modulo_ising_ring(int x, int N)
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-double internal_evaluate(const std::vector<int> &x)
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-Ising_Ring *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Class Ising_Torus

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Base Type

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Class Documentation

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-class Ising_Torus : public IOHprofiler_problem<int>
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Public Functions

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-Ising_Torus(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-int modulo_ising_torus(int x, int N)
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-Ising_Torus *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Class Ising_Triangular

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Base Type

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Class Documentation

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-class Ising_Triangular : public IOHprofiler_problem<int>
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Public Functions

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-Ising_Triangular(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-Ising_Triangular *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Class Katsuura

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Base Type

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Class Documentation

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-class Katsuura : public IOHprofiler_problem<double>
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Public Functions

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-Katsuura(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-Katsuura *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Class LABS

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-class LABS : public IOHprofiler_problem<int>
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Public Functions

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-LABS(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-double correlation(const std::vector<int> x, const int n, int k)
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-LABS *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_leading_ones.html b/docs/_build/html/api/class_leading_ones.html deleted file mode 100644 index 7f4de06f6..000000000 --- a/docs/_build/html/api/class_leading_ones.html +++ /dev/null @@ -1,264 +0,0 @@ - - - - - - - - - - Class LeadingOnes — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class LeadingOnes

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Inheritance Relationships

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Base Type

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Class Documentation

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-class LeadingOnes : public IOHprofiler_problem<int>
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Public Functions

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-LeadingOnes(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-LeadingOnes *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Class LeadingOnes_Dummy1

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Base Type

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Class Documentation

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Public Functions

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-LeadingOnes_Dummy1(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Public Members

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-std::vector<int> info
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Class LeadingOnes_Dummy2

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Base Type

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Class Documentation

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Public Functions

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-LeadingOnes_Dummy2(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Public Static Functions

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Class LeadingOnes_Epistasis

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Class Documentation

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Public Functions

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-LeadingOnes_Epistasis(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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-void customize_optimal()
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Public Static Functions

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-LeadingOnes_Epistasis *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Class LeadingOnes_Neutrality

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Base Type

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Class Documentation

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Public Functions

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-LeadingOnes_Neutrality(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Public Static Functions

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Class LeadingOnes_Ruggedness1

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Base Type

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Class Documentation

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Public Functions

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Class LeadingOnes_Ruggedness2

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Base Type

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Class Documentation

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Public Functions

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Class LeadingOnes_Ruggedness3

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Class Documentation

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Public Functions

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Class Linear

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Class Documentation

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Class Linear_Slope

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Class Documentation

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Public Functions

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Class Documentation

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Class Documentation

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Class Documentation

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Class Documentation

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Class Documentation

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Class OneMax_Dummy2

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Class Documentation

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Public Functions

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Class OneMax_Epistasis

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Base Type

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Class Documentation

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-class OneMax_Epistasis : public IOHprofiler_problem<int>
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Public Functions

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-OneMax_Epistasis(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Class OneMax_Neutrality

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Inheritance Relationships

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Base Type

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Class Documentation

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-class OneMax_Neutrality : public IOHprofiler_problem<int>
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Public Functions

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-OneMax_Neutrality(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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Inheritance Relationships

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Class Documentation

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Public Functions

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Class Documentation

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Public Functions

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Class OneMax_Ruggedness3

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Class Documentation

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Public Functions

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Public Members

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-std::vector<double> info
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Class PBO_suite

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Class Documentation

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Public Functions

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-PBO_suite()
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-void registerProblem()
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Implementation of virtual function of base class IOHprofiler_suite.

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23 functions are included in the PBO_suite.

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Public Static Functions

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Class Rastrigin

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Class Documentation

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Public Functions

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Class Rastrigin_Rotated

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Class Documentation

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Public Functions

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Class Rosenbrock

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Class Documentation

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-class Rosenbrock : public IOHprofiler_problem<double>
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Public Functions

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Class Rosenbrock_Rotated

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Class Documentation

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Public Functions

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Class Schaffers10

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Class Documentation

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Class Documentation

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Public Functions

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Class Schwefel

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Class Documentation

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Public Functions

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Class Documentation

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Public Functions

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Class Sphere

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Base Type

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Class Documentation

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Public Functions

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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_step___ellipsoid.html b/docs/_build/html/api/class_step___ellipsoid.html deleted file mode 100644 index e15d24164..000000000 --- a/docs/_build/html/api/class_step___ellipsoid.html +++ /dev/null @@ -1,302 +0,0 @@ - - - - - - - - - - Class Step_Ellipsoid — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
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- -
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Class Step_Ellipsoid

- -
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Inheritance Relationships

-
-

Base Type

- -
-
-
-

Class Documentation

-
-
-class Step_Ellipsoid : public IOHprofiler_problem<double>
-
-

Public Functions

-
-
-Step_Ellipsoid(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
-~Step_Ellipsoid()
-
- -
-
-void prepare_problem()
-
- -
-
-double internal_evaluate(const std::vector<double> &x)
-
- -
-
-

Public Members

-
-
-std::vector<double> xopt
-
- -
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-double fopt
-
- -
-
-std::vector<std::vector<double>> rot1
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- -
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-std::vector<std::vector<double>> rot2
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- -
-
-std::vector<double> datax
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- -
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-std::vector<double> dataxx
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- -
-
-

Public Static Functions

-
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-Step_Ellipsoid *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
- -
-
- - -
- -
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- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_view_hierarchy.html b/docs/_build/html/api/class_view_hierarchy.html deleted file mode 100644 index 38c5a928b..000000000 --- a/docs/_build/html/api/class_view_hierarchy.html +++ /dev/null @@ -1,211 +0,0 @@ - - - - - - - - - - Class Hierarchy — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Hierarchy

-
- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_w___model___leading_ones.html b/docs/_build/html/api/class_w___model___leading_ones.html deleted file mode 100644 index 2826d03f0..000000000 --- a/docs/_build/html/api/class_w___model___leading_ones.html +++ /dev/null @@ -1,329 +0,0 @@ - - - - - - - - - - Class W_Model_LeadingOnes — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class W_Model_LeadingOnes

- -
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Inheritance Relationships

-
-

Base Type

- -
-
-
-

Class Documentation

-
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-class W_Model_LeadingOnes : public IOHprofiler_problem<int>
-
-

Public Functions

-
-
-W_Model_LeadingOnes(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
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-~W_Model_LeadingOnes()
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- -
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-void prepare_problem()
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- -
-
-void customize_optimal()
-
- -
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-void set_w_setting(const double dummy_para, const int epistasis_para, const int neutrality_para, const int ruggedness_para)
-

A function to configure w-model layers.

-

For details of w-model, please read

-https://www.sciencedirect.com/science/article/pii/S1568494619308099 and https://dl.acm.org/doi/pdf/10.1145/3205651.3208240
-
Parameters
    -
  • dummy_para: percentage of valid bits.

  • -
  • epistasis_para: size of sub-string for epistasis

  • -
  • neutrality_para: size of sub-string for neutrality

  • -
  • ruggedness_para: gamma for ruggedness layper

  • -
-
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-

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-double internal_evaluate(const std::vector<int> &x)
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Public Members

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-std::vector<int> dummy_info
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-double dummy_para = 0
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- -
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-int epistasis_para = 0
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- -
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-int neutrality_para = 0
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-int ruggedness_para = 0
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-std::vector<int> ruggedness_info
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- -
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-int temp_dimension
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Public Static Functions

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-W_Model_LeadingOnes *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
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- -
-
- -
-
- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_w___model___one_max.html b/docs/_build/html/api/class_w___model___one_max.html deleted file mode 100644 index 2111f964e..000000000 --- a/docs/_build/html/api/class_w___model___one_max.html +++ /dev/null @@ -1,329 +0,0 @@ - - - - - - - - - - Class W_Model_OneMax — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class W_Model_OneMax

- -
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Inheritance Relationships

-
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Base Type

- -
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-
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Class Documentation

-
-
-class W_Model_OneMax : public IOHprofiler_problem<int>
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-

Public Functions

-
-
-W_Model_OneMax(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
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-~W_Model_OneMax()
-
- -
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-void prepare_problem()
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- -
-
-void customize_optimal()
-
- -
-
-void set_w_setting(const double dummy_para, const int epistasis_para, const int neutrality_para, const int ruggedness_para)
-

A function to configure w-model layers.

-

For details of w-model, please read

-https://www.sciencedirect.com/science/article/pii/S1568494619308099 and https://dl.acm.org/doi/pdf/10.1145/3205651.3208240
-
Parameters
    -
  • dummy_para: percentage of valid bits.

  • -
  • epistasis_para: size of sub-string for epistasis

  • -
  • neutrality_para: size of sub-string for neutrality

  • -
  • ruggedness_para: gamma for ruggedness layper

  • -
-
-
-

-
- -
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-double internal_evaluate(const std::vector<int> &x)
-
- -
-
-

Public Members

-
-
-std::vector<int> dummy_info
-
- -
-
-double dummy_para = 0
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- -
-
-int epistasis_para = 0
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- -
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-int neutrality_para = 0
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- -
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-int ruggedness_para = 0
-
- -
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-std::vector<int> ruggedness_info
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- -
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-int temp_dimension
-
- -
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-

Public Static Functions

-
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-W_Model_OneMax *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
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- -
-
- - -
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/class_weierstrass.html b/docs/_build/html/api/class_weierstrass.html deleted file mode 100644 index 798584044..000000000 --- a/docs/_build/html/api/class_weierstrass.html +++ /dev/null @@ -1,292 +0,0 @@ - - - - - - - - - - Class Weierstrass — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Class Weierstrass

- -
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Inheritance Relationships

-
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Base Type

- -
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-
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Class Documentation

-
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-class Weierstrass : public IOHprofiler_problem<double>
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-

Public Functions

-
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-Weierstrass(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
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-~Weierstrass()
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- -
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-void prepare_problem()
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-double internal_evaluate(const std::vector<double> &x)
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- -
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-

Public Members

-
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-const double condition = 100.0
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- -
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-double f0
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- -
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-double ak[12]
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- -
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-double bk[12]
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- -
-
-

Public Static Functions

-
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-Weierstrass *createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)
-
- -
-
- -
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- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/classgeneric_generator.html b/docs/_build/html/api/classgeneric_generator.html deleted file mode 100644 index 46b188b44..000000000 --- a/docs/_build/html/api/classgeneric_generator.html +++ /dev/null @@ -1,229 +0,0 @@ - - - - - - - - - - Template Class genericGenerator — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Template Class genericGenerator

- -
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Class Documentation

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-template<class manufacturedObj>
class genericGenerator
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/classregister_in_factory.html b/docs/_build/html/api/classregister_in_factory.html deleted file mode 100644 index d104683ae..000000000 --- a/docs/_build/html/api/classregister_in_factory.html +++ /dev/null @@ -1,249 +0,0 @@ - - - - - - - - - - Template Class registerInFactory — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Template Class registerInFactory

- -
-

Class Documentation

-
-
-template<class ancestorType, class manufacturedObj, typename classIDKey = defaultIDKeyType>
class registerInFactory
-

Helper template to make registration simple.

-
-

Public Functions

-
-
-registerInFactory(const classIDKey id)
-

Register the creation function.

-

This simply associates the classIDKey with the function used to create the class.

The return value is a dummy value, which is used to allow static initialization of the registry.

-

-
- -
-
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Public Static Functions

-
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-std::shared_ptr<ancestorType> createInstance()
-
- -
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- - -
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- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__common_8cpp_1ad84318ad71c20e7b5a4af037e3a330d5.html b/docs/_build/html/api/define__i_o_hprofiler__common_8cpp_1ad84318ad71c20e7b5a4af037e3a330d5.html deleted file mode 100644 index 207a41aa7..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__common_8cpp_1ad84318ad71c20e7b5a4af037e3a330d5.html +++ /dev/null @@ -1,228 +0,0 @@ - - - - - - - - - - Define _IOHPROFILER_COMMON_CPP — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
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Define _IOHPROFILER_COMMON_CPP

- -
-

Define Documentation

-
-

Warning

-

doxygendefine: Cannot find define “_IOHPROFILER_COMMON_CPP” in doxygen xml output for project “IOHexperimenter” from directory: ./xml

-
-
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- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a16bc7f529c324e050561e97c82ab788d.html b/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a16bc7f529c324e050561e97c82ab788d.html deleted file mode 100644 index c938c0811..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a16bc7f529c324e050561e97c82ab788d.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - - - Define IOHprofiler_PATH_MAX — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
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Define IOHprofiler_PATH_MAX

- -
-

Define Documentation

-
-
-IOHprofiler_PATH_MAX
-

< The maximum length for path of IOHprofiler files.

-
- -
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a3d0780778ed0748fc4769d998edaf185.html b/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a3d0780778ed0748fc4769d998edaf185.html deleted file mode 100644 index 727706caa..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a3d0780778ed0748fc4769d998edaf185.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - - - Define DEFAULT_INSTANCE — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
- - - - - -
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Define DEFAULT_INSTANCE

- -
-

Define Documentation

-
-
-DEFAULT_INSTANCE
-

< Default instance_id

-
- -
-
- - -
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- - -
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a6109158b8a720c7e8b1bcc516682cddf.html b/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a6109158b8a720c7e8b1bcc516682cddf.html deleted file mode 100644 index b4e904e39..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1a6109158b8a720c7e8b1bcc516682cddf.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - - - Define DEFAULT_DIMENSION — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
- - - - - -
- -
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Define DEFAULT_DIMENSION

- -
-

Define Documentation

-
-
-DEFAULT_DIMENSION
-

< Default dimension

-
- -
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1ab4da29b2c029e05522638c638f1db25c.html b/docs/_build/html/api/define__i_o_hprofiler__common_8h_1ab4da29b2c029e05522638c638f1db25c.html deleted file mode 100644 index b929c0305..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1ab4da29b2c029e05522638c638f1db25c.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - - - Define DEFAULT_PROBLEM_ID — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
- - - - - -
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Define DEFAULT_PROBLEM_ID

- -
-

Define Documentation

-
-
-DEFAULT_PROBLEM_ID
-

< Default problem id as not being assigned to a suite.

-
- -
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1ad4d796b98c583d49e83adabd74a63bf6.html b/docs/_build/html/api/define__i_o_hprofiler__common_8h_1ad4d796b98c583d49e83adabd74a63bf6.html deleted file mode 100644 index af9a60b76..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1ad4d796b98c583d49e83adabd74a63bf6.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - - - Define MAX_BUFFER_SIZE — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
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Define MAX_BUFFER_SIZE

- -
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Define Documentation

-
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-MAX_BUFFER_SIZE
-

< Max buffer size

-
- -
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1aebdf5dc0572ce5a3e8c957220f3e07c2.html b/docs/_build/html/api/define__i_o_hprofiler__common_8h_1aebdf5dc0572ce5a3e8c957220f3e07c2.html deleted file mode 100644 index 14d3c4b32..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__common_8h_1aebdf5dc0572ce5a3e8c957220f3e07c2.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - - - Define IOHprofiler_MAX_DIMENSION — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
- - - - - -
- -
- - - - - - - - - - - - - - - - - -
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Define IOHprofiler_MAX_DIMENSION

- -
-

Define Documentation

-
-
-IOHprofiler_MAX_DIMENSION
-

< The maximum allowed testing dimension.

-
- -
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__configuration_8h_1a59bea9bfad99ad3e51f97667d7c5b18f.html b/docs/_build/html/api/define__i_o_hprofiler__configuration_8h_1a59bea9bfad99ad3e51f97667d7c5b18f.html deleted file mode 100644 index 8fac739d2..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__configuration_8h_1a59bea9bfad99ad3e51f97667d7c5b18f.html +++ /dev/null @@ -1,229 +0,0 @@ - - - - - - - - - - Define MAXKEYNUMBER — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
- - - - - -
- -
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Define MAXKEYNUMBER

- -
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Define Documentation

-
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-MAXKEYNUMBER
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- -
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- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/define__i_o_hprofiler__configuration_8h_1ae310f74f793edeb882f0c2d8d8b50bb8.html b/docs/_build/html/api/define__i_o_hprofiler__configuration_8h_1ae310f74f793edeb882f0c2d8d8b50bb8.html deleted file mode 100644 index 95166f09d..000000000 --- a/docs/_build/html/api/define__i_o_hprofiler__configuration_8h_1ae310f74f793edeb882f0c2d8d8b50bb8.html +++ /dev/null @@ -1,229 +0,0 @@ - - - - - - - - - - Define MAXLINESIZE — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
- - - - - -
- -
- - - - - - - - - - - - - - - - - -
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Define MAXLINESIZE

- -
-

Define Documentation

-
-
-MAXLINESIZE
-
- -
-
- - -
- -
- - -
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Number of summands in the Weierstrass problem.

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Maximal dimension used in BBOB2009.

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Directory path: src/Problems/BBOB/bbob_common_used_functions

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Enum IOH_optimization_type

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Enum Documentation

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Values:

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cpp file for class f_Bent_Cigar.

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_bent_cigar.c

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2019-09-10

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cpp file for class f_ellipsoid.

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_ellipsoid.c

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2019-09-12

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_ellipsoid.c

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2019-09-12

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_gallagher.c

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2019-09-12

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_katsuura.c

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_linear_slope.c

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Furong Ye

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2019-06-27

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cpp file for class Class Lunacek_Bi_Rastrigin.

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_lunacek_bi_rastrigin.c

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2019-09-12

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File f_rastrigin.hpp

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cpp file for class Class Rastrigin.

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Definition (src/Problems/BBOB/f_rastrigin.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_rastrigin.c

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File f_rastrigin_rotated.hpp

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cpp file for class Class Rastrigin_Rotated.

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Definition (src/Problems/BBOB/f_rastrigin_rotated.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_rastrigin.c

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File f_rosenbrock.hpp

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cpp file for class Class Rosenbrock.

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Definition (src/Problems/BBOB/f_rosenbrock.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_rosenbrock.c

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2019-09-12

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cpp file for class Class Rosenbrock_Rotated.

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Definition (src/Problems/BBOB/f_rosenbrock_rotated.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_rosenbrock.c

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2019-09-12

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File f_schaffers10.hpp

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cpp file for class Class Schaffers10.

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Definition (src/Problems/BBOB/f_schaffers10.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_schaffers.c

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2019-09-12

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cpp file for class Class Schwefel.

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Definition (src/Problems/BBOB/f_schwefel.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_schwefel.c

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2019-09-12

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cpp file for class Class Sharp_Ridge.

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Definition (src/Problems/BBOB/f_sharp_ridge.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_sharp_ridge.c

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Furong Ye

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2019-09-12

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File f_sphere.hpp

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cpp file for class Class Sphere.

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Definition (src/Problems/BBOB/f_sphere.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_sphere.c

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2019-09-12

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File f_step_ellipsoid.hpp

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cpp file for class Class Step_Ellipsoid.

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Definition (src/Problems/BBOB/f_step_ellipsoid.hpp)

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Detailed Description

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A detailed file description. Refer “https://github.com/numbbo/coco/blob/master/code-experiments/src/f_step_ellipsoid.c

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2019-09-12

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File f_weierstrass.hpp

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cpp file for class Class Weierstrass.

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Definition (src/Problems/BBOB/f_weierstrass.hpp)

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Detailed Description

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A detailed file description.

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File IOHprofiler_all_problems.hpp

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File f_MIS.hpp

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cpp file for class f_MIS.

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Definition (src/Problems/PBO/f_MIS.hpp)

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Detailed Description

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A detailed file description.

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Naama Horesh and Furong Ye

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2019-06-27

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File f_N_queens.hpp

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cpp file for class f_N_queens.

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Definition (src/Problems/PBO/f_N_queens.hpp)

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Detailed Description

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A detailed file description.

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File f_ising_ring.hpp

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cpp file for class Class Ising_Ring.

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Definition (src/Problems/PBO/f_ising_ring.hpp)

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Detailed Description

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A detailed file description.

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Naama Horesh and Furong Ye

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2019-06-27

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File f_ising_torus.hpp

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cpp file for class f_ising_torus.

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A detailed file description.

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File f_ising_triangular.hpp

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cpp file for class Class Ising_Triangular.

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Definition (src/Problems/PBO/f_ising_triangular.hpp)

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A detailed file description.

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Naama Horesh and Furong Ye

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2019-06-27

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A detailed file description.

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cpp file for class f_leading_ones.

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Definition (src/Problems/PBO/f_leading_ones.hpp)

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cpp file for class f_leading_ones_dummy1.

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Definition (src/Problems/PBO/f_leading_ones_dummy1.hpp)

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Detailed Description

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This file implements a Class LeadingOnes problem with reduction of dummy variables. The reduction rate is chosen as 0.5.

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cpp file for class f_leading_ones_dummy2.

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Definition (src/Problems/PBO/f_leading_ones_dummy2.hpp)

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Detailed Description

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This file implements a Class LeadingOnes problem with reduction of dummy variables. The reduction rate is chosen as 0.9.

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File f_leading_ones_epistasis.hpp

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cpp file for class f_leading_ones_epistasis.

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Definition (src/Problems/PBO/f_leading_ones_epistasis.hpp)

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Detailed Description

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This file implements a Class LeadingOnes problem with epistasis transformation method from w-model. The parameter v is chosen as 4.

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Furong Ye

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2019-06-27

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File f_leading_ones_neutrality.hpp

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cpp file for class f_leading_ones_neutrality.

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Definition (src/Problems/PBO/f_leading_ones_neutrality.hpp)

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Detailed Description

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This file implements a Class LeadingOnes problem with neutrality transformation method from w-model. The parameter mu is chosen as 3.

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Furong Ye

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2019-06-27

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File f_leading_ones_ruggedness1.hpp

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cpp file for class f_leading_ones_ruggedness1.

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Definition (src/Problems/PBO/f_leading_ones_ruggedness1.hpp)

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Detailed Description

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A detailed file description.

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File f_leading_ones_ruggedness2.hpp

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cpp file for class f_leading_ones_ruggedness2.

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Detailed Description

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A detailed file description.

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2019-06-27

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File f_leading_ones_ruggedness3.hpp

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cpp file for class f_leading_ones_ruggedness3.

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Detailed Description

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cpp file for class f_nk_landscapes.

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Definition (src/Problems/PBO/f_nk_landscapes.hpp)

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Detailed Description

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A detailed file description.

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cpp file for class f_one_max.

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Definition (src/Problems/PBO/f_one_max.hpp)

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Detailed Description

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A detailed file description.

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2019-06-27

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cpp file for class f_one_max_dummy1.

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Definition (src/Problems/PBO/f_one_max_dummy1.hpp)

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Detailed Description

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This file implements a Class OneMax problem with reduction of dummy variables. The reduction rate is chosen as 0.5.

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2019-06-27

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File f_one_max_dummy2.hpp

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cpp file for class f_one_max_dummy2.

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Definition (src/Problems/PBO/f_one_max_dummy2.hpp)

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Detailed Description

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This file implements a Class OneMax problem with reduction of dummy variables. The reduction rate is chosen as 0.9.

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2019-06-27

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cpp file for class f_one_max_epistasis.

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Definition (src/Problems/PBO/f_one_max_epistasis.hpp)

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Detailed Description

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This file implements a Class OneMax problem with epistasis transformation method from w-model. The parameter v is chosen as 4.

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2019-06-27

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cpp file for class f_one_max_neutrality.

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Definition (src/Problems/PBO/f_one_max_neutrality.hpp)

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Detailed Description

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This file implements a Class OneMax problem with neutrality transformation method from w-model. The parameter mu is chosen as 3.

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2019-06-27

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cpp file for class f_one_max_ruggedness1.

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Definition (src/Problems/PBO/f_one_max_ruggedness1.hpp)

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Detailed Description

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A detailed file description.

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2019-06-27

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A suite of bbob problems (24 problems, 1-100 instances, and dimension <= 100).

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A head file includes all suites of IOHprofiler.

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head file for common used operations on strings.

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These classes are used for registering problems and suites.

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Template Function _toString

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Template Function compareVector

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bool compareVector(std::vector<valueType> &v1, std::vector<valueType> v2)

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Return ‘true’ if all elements in two vectors are the same.

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Function IOH_log(std::string, std::ofstream&)

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Function IOH_log(std::string)

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To get a vector of integer values with a range ‘n-m’.

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Function transform_obj_penalize_evaluate

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Function Documentation

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-void transform_obj_penalize_evaluate(const std::vector<double> &x, const double lower_bounds, const double upper_bounds, const double factor, std::vector<double> &y)
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Evaluates the transformation.

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Function transform_vars_scale_evaluate

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Function Documentation

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-void transform_vars_scale_evaluate(std::vector<double> &x, const double factor)
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Function transform_vars_affine_evaluate_function

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Function Documentation

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-void transform_vars_affine_evaluate_function(std::vector<double> &x, const std::vector<std::vector<double>> &M, const std::vector<double> &b)
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Function transform_vars_x_hat_generic_evaluate

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Function Documentation

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-void transform_vars_x_hat_generic_evaluate(std::vector<double> &x, const std::vector<double> &sign_vector)
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Function transform_vars_conditioning_evaluate

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Function Documentation

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-void transform_vars_conditioning_evaluate(std::vector<double> &x, const double alpha)
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Function transform_vars_x_hat_evaluate

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Function Documentation

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-void transform_vars_x_hat_evaluate(std::vector<double> &x, const long seed)
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Function transform_vars_brs_evaluate

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Function Documentation

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-void transform_vars_brs_evaluate(std::vector<double> &x)
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Function transform_vars_asymmetric_evaluate_function

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Function Documentation

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-void transform_vars_asymmetric_evaluate_function(std::vector<double> &x, const double beta)
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Function transform_vars_shift_evaluate_function

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Function Documentation

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-void transform_vars_shift_evaluate_function(std::vector<double> &x, const std::vector<double> &offset)
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Function transform_vars_z_hat_evaluate

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Function Documentation

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-void transform_vars_z_hat_evaluate(std::vector<double> &x, const std::vector<double> &xopt)
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Function transform_vars_oscillate_evaluate_function

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Function Documentation

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-void transform_vars_oscillate_evaluate_function(std::vector<double> &x)
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Function f_gallagher_compare_doubles1

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Function Documentation

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-int f_gallagher_compare_doubles1(const void *a, const void *b)
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Function f_gallagher_compare_doubles

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Function Documentation

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-int f_gallagher_compare_doubles(const void *a, const void *b)
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Function bbob2009_copy_rotation_matrix

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Function Documentation

-
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-void bbob2009_copy_rotation_matrix(const std::vector<std::vector<double>> &rot, std::vector<std::vector<double>> &M, std::vector<double> &b, const size_t DIM)
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Function bbob2009_compute_rotation

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Function Documentation

-
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-void bbob2009_compute_rotation(std::vector<std::vector<double>> &B, const long seed, const size_t DIM)
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Computes a DIM by DIM rotation matrix based on seed and stores it in B.

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Function bbob2009_fmin

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Function Documentation

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-double bbob2009_fmin(double a, double b)
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Computes the minimum of the two values.

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Function bbob2009_gauss

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Function Documentation

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-void bbob2009_gauss(std::vector<double> &g, const size_t N, const long seed)
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Generates N Gaussian random numbers using the given seed and stores them in g.

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Function bbob2009_compute_xopt

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Function Documentation

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-void bbob2009_compute_xopt(std::vector<double> &xopt, const long seed, const size_t DIM)
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Randomly computes the location of the global optimum.

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Function bbob2009_unif

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Function Documentation

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-void bbob2009_unif(std::vector<double> &r, size_t N, long inseed)
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Generates N uniform random numbers using inseed as the seed and stores them in r.

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Function bbob2009_fmax

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Function Documentation

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-double bbob2009_fmax(double a, double b)
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Computes the maximum of the two values.

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Function bbob2009_round

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Function Documentation

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-double bbob2009_round(double x)
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Rounds the given value.

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Function bbob2009_compute_fopt

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Function Documentation

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-double bbob2009_compute_fopt(const size_t function, const size_t instance)
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Randomly chooses the objective offset for the given function and instance.

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Function bbob2009_reshape

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Function Documentation

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-void bbob2009_reshape(std::vector<std::vector<double>> &B, const std::vector<double> &vector, const size_t m, const size_t n)
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Converts from packed matrix storage to an array of array of double representation.

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Function ruggedness_raw

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Function Documentation

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-std::vector<int> ruggedness_raw(int gamma, int q)
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Function ruggedness1

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Function Documentation

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Function max_gamma

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Function Documentation

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Function layer_neutrality_compute

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Function Documentation

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-void layer_neutrality_compute(const std::vector<int> &xIn, std::vector<int> &xOut, const int mu)
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Following is the w-model soure code from Raphael’s work, which refer the source code of Thomas Weise.

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Function ruggedness3

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Function Documentation

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Function epistasis

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Function Documentation

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-std::vector<int> epistasis(const std::vector<int> &variables, int v)
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Function neutrality

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Function Documentation

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Function dummy

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Function Documentation

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-std::vector<int> dummy(int number_of_variables, double select_rate, long inseed)
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Function ruggedness2

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Function Documentation

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Function ruggedness_translate

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Function Documentation

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Function epistasis_compute

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Function Documentation

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-void epistasis_compute(const std::vector<int> &xIn, std::vector<int> &xOut, const int nu)
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Function layer_epistasis_compute

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Function Documentation

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-void layer_epistasis_compute(const std::vector<int> &x, std::vector<int> &epistasis_x, const int block_size)
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Function base_epistasis

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Function Documentation

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Function layer_compute_ruggedness

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Function Documentation

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-double layer_compute_ruggedness(const double y, size_t dimension, int gamma)
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Classes and Structs

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Functions

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Variables

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  • Program Listing for File coco_transformation.cpp
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Program Listing for File coco_transformation.cpp

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Return to documentation for file (src/Problems/BBOB/bbob_common_used_functions/coco_transformation.cpp)

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#include "coco_transformation.hpp"
-
-std::vector<double> Coco_Transformation_Data::raw_x = std::vector<double>(0);
-std::vector<double> Coco_Transformation_Data::xopt = std::vector<double>(0);
-std::vector<double> Coco_Transformation_Data::tmp1 = std::vector<double>(0);
-std::vector<double> Coco_Transformation_Data::tmp2 = std::vector<double>(0);
-double Coco_Transformation_Data::fopt = 0;
-double Coco_Transformation_Data::penalty_factor = 0;
-double Coco_Transformation_Data::factor = 0;
-double Coco_Transformation_Data::lower_bound = 0;
-double Coco_Transformation_Data::upper_bound = 0;
-std::vector<std::vector<double> > Coco_Transformation_Data::M = std::vector<std::vector<double>>(0);
-std::vector<double> Coco_Transformation_Data::b = std::vector<double>(0);;
-std::vector<std::vector<double> > Coco_Transformation_Data::M1 = std::vector<std::vector<double>>(0);
-std::vector<double> Coco_Transformation_Data::b1 = std::vector<double>(0);;
-std::vector<std::vector<double> > Coco_Transformation_Data::rot1 = std::vector<std::vector<double>>(0);
-std::vector<std::vector<double> > Coco_Transformation_Data::rot2 = std::vector<std::vector<double>>(0);
-std::vector<double> Coco_Transformation_Data::datax = std::vector<double>(0);;
-std::vector<double> Coco_Transformation_Data::dataxx = std::vector<double>(0);;
-std::vector<double> Coco_Transformation_Data::minus_one = std::vector<double>(0);;
-double Coco_Transformation_Data::condition = 0;
-long Coco_Transformation_Data::rseed = 0;
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Program Listing for File coco_transformation.hpp

-

Return to documentation for file (src/Problems/BBOB/bbob_common_used_functions/coco_transformation.hpp)

-
#ifndef _COCO_TRANSFORMATION_HPP
-#define _COCO_TRANSFORMATION_HPP
-
-#include "suite_bbob_legacy_code.hpp"
-#include "coco_transformation_vars.hpp"
-#include "coco_transformation_objs.hpp"
-
-class Coco_Transformation_Data {
-public:
-  static std::vector<double> raw_x;
-  static std::vector<double> xopt;
-  static std::vector<double> tmp1;
-  static std::vector<double> tmp2;
-  static double fopt;
-  static double penalty_factor;
-  static double factor;
-  static double lower_bound;
-  static double upper_bound;
-  static std::vector<std::vector<double> > M;
-  static std::vector<double> b;
-  static std::vector<std::vector<double> > M1;
-  static std::vector<double> b1;
-  static std::vector<std::vector<double> > rot1;
-  static std::vector<std::vector<double> > rot2;
-  static std::vector<double> datax;
-  static std::vector<double> dataxx;
-  static std::vector<double> minus_one;
-  static double condition;
-  static long rseed;
-};
-
-
-static void coco_tranformation_vars (std::vector<double> &x, const int problem_id) {
-  if (problem_id == 1) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-  } else if (problem_id == 2) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_oscillate_evaluate_function(x);
-  } else if (problem_id == 3) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_oscillate_evaluate_function(x);
-    transform_vars_asymmetric_evaluate_function(x,0.2);
-    transform_vars_conditioning_evaluate(x,10.0);
-
-  } else if (problem_id == 4) {
-    Coco_Transformation_Data::raw_x = x;
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_oscillate_evaluate_function(x);
-    transform_vars_brs_evaluate(x);
-  } else if (problem_id == 5) {
-
-  } else if (problem_id == 6) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 7) {
-
-  } else if (problem_id == 8) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_scale_evaluate(x,Coco_Transformation_Data::factor);
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::minus_one);
-  } else if (problem_id == 9) {
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 10) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-    transform_vars_oscillate_evaluate_function(x);
-  } else if (problem_id == 11) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-    transform_vars_oscillate_evaluate_function(x);
-  } else if (problem_id == 12) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-    transform_vars_asymmetric_evaluate_function(x,0.5);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 13) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 14) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 15) {
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M1,Coco_Transformation_Data::b1);
-    transform_vars_oscillate_evaluate_function(x);
-    transform_vars_asymmetric_evaluate_function(x,0.2);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 16) {
-    Coco_Transformation_Data::raw_x = x;
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M1,Coco_Transformation_Data::b1);
-    transform_vars_oscillate_evaluate_function(x);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 17) {
-    Coco_Transformation_Data::raw_x = x;
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M1,Coco_Transformation_Data::b1);
-    transform_vars_asymmetric_evaluate_function(x,0.5);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 18) {
-    Coco_Transformation_Data::raw_x = x;
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M1,Coco_Transformation_Data::b1);
-    transform_vars_asymmetric_evaluate_function(x,0.5);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 19) {
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-  } else if (problem_id == 20) {
-    transform_vars_x_hat_evaluate(x,Coco_Transformation_Data::rseed);
-    transform_vars_scale_evaluate(x,2);
-    transform_vars_z_hat_evaluate(x,Coco_Transformation_Data::xopt);
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::tmp2);
-    transform_vars_conditioning_evaluate(x,10.0);
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::tmp1);
-    transform_vars_scale_evaluate(x,100);
-  } else if (problem_id == 21) {
-
-  } else if (problem_id == 22) {
-
-  } else if (problem_id == 23) {
-    Coco_Transformation_Data::raw_x = x;
-    transform_vars_shift_evaluate_function(x,Coco_Transformation_Data::xopt);
-    transform_vars_affine_evaluate_function(x,Coco_Transformation_Data::M,Coco_Transformation_Data::b);
-  } else if (problem_id == 24) {
-
-  } else {
-  }
-}
-
-static void coco_tranformation_objs (const std::vector<double> &x, std::vector<double> &y, const int problem_id) {
-  if (problem_id == 1) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 2) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 3) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 4) {
-    /* ignore large-scale test */
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-    transform_obj_penalize_evaluate(Coco_Transformation_Data::raw_x,Coco_Transformation_Data::lower_bound,Coco_Transformation_Data::upper_bound,Coco_Transformation_Data::penalty_factor,y);
-      } else if (problem_id == 5) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 6) {
-    transform_obj_oscillate_evaluate(y);
-    transform_obj_power_evaluate(y,0.9);
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 7) {
-
-  } else if (problem_id == 8) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 9) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 10) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 11) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 12) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 13) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 14) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 15) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 16) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-    transform_obj_penalize_evaluate(Coco_Transformation_Data::raw_x,Coco_Transformation_Data::lower_bound,Coco_Transformation_Data::upper_bound,Coco_Transformation_Data::penalty_factor,y);
-  } else if (problem_id == 17) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-    transform_obj_penalize_evaluate(Coco_Transformation_Data::raw_x,Coco_Transformation_Data::lower_bound,Coco_Transformation_Data::upper_bound,Coco_Transformation_Data::penalty_factor,y);
-  } else if (problem_id == 18) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-    transform_obj_penalize_evaluate(Coco_Transformation_Data::raw_x,Coco_Transformation_Data::lower_bound,Coco_Transformation_Data::upper_bound,Coco_Transformation_Data::penalty_factor,y);
-  } else if (problem_id == 19) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 20) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 21) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 22) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else if (problem_id == 23) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-    transform_obj_penalize_evaluate(Coco_Transformation_Data::raw_x,Coco_Transformation_Data::lower_bound,Coco_Transformation_Data::upper_bound,Coco_Transformation_Data::penalty_factor,y);
-  } else if (problem_id == 24) {
-    transform_obj_shift_evaluate_function(y,Coco_Transformation_Data::fopt);
-  } else {}
-}
-
-#endif //_COCO_TRANSFORMATION_HPP
-
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-

Program Listing for File coco_transformation_objs.hpp

-

Return to documentation for file (src/Problems/BBOB/bbob_common_used_functions/coco_transformation_objs.hpp)

-
#ifndef _COCO_TRANSFORMATION_OBJ_HPP
-#define _COCO_TRANSFORMATION_OBJ_HPP
-
-#include "suite_bbob_legacy_code.hpp"
-
-static void transform_obj_norm_by_dim_evaluate(const int dimension,std::vector<double> &y) {
-  y[0] *= bbob2009_fmin(1, 40. / ((double) dimension));
-  /* Wassim: might want to use a function (with no 40) here that we can put in a helpers file */
-}
-
-static void transform_obj_oscillate_evaluate(std::vector<double> &y) {
-  static const double factor = 0.1;
-  size_t i;
-  int number_of_objectives = y.size();
-
-  for (i = 0; i < number_of_objectives; i++) {
-      if (y[i] != 0) {
-          double log_y;
-          log_y = log(fabs(y[i])) / factor;
-          if (y[i] > 0) {
-              y[i] = pow(exp(log_y + 0.49 * (sin(log_y) + sin(0.79 * log_y))), factor);
-          } else {
-              y[i] = -pow(exp(log_y + 0.49 * (sin(0.55 * log_y) + sin(0.31 * log_y))), factor);
-          }
-      }
-  }
-}
-
-static void transform_obj_penalize_evaluate(const std::vector<double> &x, const double lower_bounds, const double upper_bounds, const double factor,std::vector<double> &y) {
-  double penalty = 0.0;
-  size_t i;
-  int number_of_objectives = y.size();
-  int n = x.size();
-
-  for (i = 0; i < n; ++i) {
-    const double c1 = x[i] - upper_bounds;
-    const double c2 = lower_bounds - x[i];
-    if (c1 > 0.0) {
-      penalty += c1 * c1;
-    } else if (c2 > 0.0) {
-      penalty += c2 * c2;
-    }
-  }
-
-  for (i = 0; i < number_of_objectives; ++i) {
-    y[i] +=  factor * penalty;
-  }
-}
-
-
-static void transform_obj_power_evaluate(std::vector<double> &y, const double exponent) {
-
-  size_t i;
-  int number_of_objectives = y.size();
-
-  for (i = 0; i < number_of_objectives; i++) {
-      y[i] = pow(y[i], exponent);
-  }
-}
-
-static void transform_obj_scale_evaluate_function(std::vector<double> &y, const double factor) {
-  size_t i;
-  int number_of_objectives = y.size();
-
-
-  for (i = 0; i < number_of_objectives; i++)
-    y[i] *= factor;
-}
-
-static void transform_obj_shift_evaluate_function(std::vector<double> &y,  const double offset) {
-
-  size_t i;
-  int number_of_objectives = y.size();
-
-  for (i = 0; i < number_of_objectives; i++)
-    y[i] += offset;
-
-}
-#endif
-
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Program Listing for File coco_transformation_vars.hpp

-

Return to documentation for file (src/Problems/BBOB/bbob_common_used_functions/coco_transformation_vars.hpp)

-
#ifndef _COCO_TRANSFORMATION_VARS_HPP
-#define _COCO_TRANSFORMATION_VARS_HPP
-
-#include "suite_bbob_legacy_code.hpp"
-
-static void transform_vars_affine_evaluate_function(std::vector<double> &x,
-                                                    const std::vector<std::vector<double> > &M,
-                                                    const std::vector<double> &b) {
-  size_t i, j;
-  int number_of_variables = x.size();
-  double *cons_values;
-  int is_feasible;
-  std::vector<double> temp_x = x;
-  for (i = 0; i < number_of_variables; ++i) {
-    /* data->M has problem->number_of_variables columns and inner_problem->number_of_variables rows. */
-    x[i] = b[i];
-    for (j = 0; j < number_of_variables; ++j) {
-      x[i] += temp_x[j] * M[i][j];
-    }
-  }
-}
-
-static void transform_vars_asymmetric_evaluate_function(std::vector <double> &x, const double beta) {
-  size_t i;
-  double exponent;
-  int number_of_variables = x.size();
-  for (i = 0; i < number_of_variables; ++i) {
-    if (x[i] > 0.0) {
-      exponent = 1.0
-          + ((beta * (double) (long) i) / ((double) (long) number_of_variables - 1.0)) * sqrt(x[i]);
-      x[i] = pow(x[i], exponent);
-    } else {
-      x[i] = x[i];
-    }
-  }
-}
-
-static void transform_vars_brs_evaluate(std::vector<double> &x) {
-  size_t i;
-  double factor;
-  int number_of_variables = x.size();
-
-  for (i = 0; i < number_of_variables; ++i) {
-    /* Function documentation says we should compute 10^(0.5 *
-     * (i-1)/(D-1)). Instead we compute the equivalent
-     * sqrt(10)^((i-1)/(D-1)) just like the legacy code.
-     */
-    factor = pow(sqrt(10.0), (double) (long) i / ((double) (long) number_of_variables - 1.0));
-    /* Documentation specifies odd indices and starts indexing
-     * from 1, we use all even indices since C starts indexing
-     * with 0.
-     */
-    if (x[i] > 0.0 && i % 2 == 0) {
-      factor *= 10.0;
-    }
-    x[i] = factor * x[i];
-  }
-}
-
-static void transform_vars_conditioning_evaluate(std::vector<double> &x, const double alpha) {
-  size_t i;
-  int number_of_variables = x.size();
-
-  for (i = 0; i < number_of_variables; ++i) {
-    /* OME: We could precalculate the scaling coefficients if we
-     * really wanted to.
-     */
-    x[i] = pow(alpha, 0.5 * (double) (long) i / ((double) (long) number_of_variables - 1.0))
-        * x[i];
-  }
-}
-
-static void transform_vars_oscillate_evaluate_function(std::vector<double> &x) {
-  static const double alpha = 0.1;
-  int number_of_variables = x.size();
-  double tmp, base;
-  size_t i;
-
-  for (i = 0; i < number_of_variables; ++i) {
-    if (x[i] > 0.0) {
-      tmp = log(x[i]) / alpha;
-      base = exp(tmp + 0.49 * (sin(tmp) + sin(0.79 * tmp)));
-      x[i] = pow(base, alpha);
-    } else if (x[i] < 0.0) {
-      tmp = log(-x[i]) / alpha;
-      base = exp(tmp + 0.49 * (sin(0.55 * tmp) + sin(0.31 * tmp)));
-      x[i] = -pow(base, alpha);
-    } else {
-      x[i] = 0.0;
-    }
-  }
-}
-
-static void transform_vars_scale_evaluate(std::vector<double> &x, const double factor) {
-  size_t i;
-  int number_of_variables = x.size();
-
-  for (i = 0; i < number_of_variables; ++i) {
-    x[i] = factor * x[i];
-  }
-}
-
-static void transform_vars_shift_evaluate_function(std::vector<double> &x, const std::vector<double> &offset) {
-  size_t i;
-  int number_of_variables = x.size();
-
-  for (i = 0; i < number_of_variables; ++i) {
-    x[i] = x[i] - offset[i];
-  }
-}
-
-static void transform_vars_x_hat_evaluate(std::vector<double> &x, const long seed) {
-  size_t i;
-  int number_of_variables = x.size();
-  std::vector<double> tmp_x;
-
-
-  bbob2009_unif(tmp_x, number_of_variables, seed);
-
-  for (i = 0; i < number_of_variables; ++i) {
-    if (tmp_x[i] < 0.5) {
-      x[i] = -x[i];
-    } else {
-      x[i] = x[i];
-    }
-  }
-}
-
-static void transform_vars_x_hat_generic_evaluate(std::vector<double> &x, const std::vector<double> &sign_vector) {
-  size_t i;
-  int number_of_variables = x.size();
-
-  for (i = 0; i < number_of_variables; ++i) {
-    x[i] = 2.0 * sign_vector[i] * x[i];
-  }
-}
-
-static void transform_vars_z_hat_evaluate(std::vector<double> &x,  const std::vector<double> &xopt) {
-  size_t i;
-  int number_of_variables = x.size();
-  std::vector<double> temp_x = x;
-  x[0] = temp_x[0];
-
-  for (i = 1; i < number_of_variables; ++i) {
-    x[i] = temp_x[i] + 0.25 * (temp_x[i - 1] - 2.0 * fabs(xopt[i - 1]));
-  }
-}
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_bbob_common_used_functions_suite_bbob_legacy_code.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_bbob_common_used_functions_suite_bbob_legacy_code.hpp.html deleted file mode 100644 index 9f1df86a7..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_bbob_common_used_functions_suite_bbob_legacy_code.hpp.html +++ /dev/null @@ -1,377 +0,0 @@ - - - - - - - - - - Program Listing for File suite_bbob_legacy_code.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File suite_bbob_legacy_code.hpp

-

Return to documentation for file (src/Problems/BBOB/bbob_common_used_functions/suite_bbob_legacy_code.hpp)

-
#ifndef _SUITE_BBOB_LEGACY_CODE_HPP
-#define _SUITE_BBOB_LEGACY_CODE_HPP
-
-#include "IOHprofiler_random.h"
-
-static const double coco_pi = 3.14159265358979323846;
-#define SUITE_BBOB2009_MAX_DIM 40
-
-static double bbob2009_fmin(double a, double b) {
-  return (a < b) ? a : b;
-}
-
-static double bbob2009_fmax(double a, double b) {
-  return (a > b) ? a : b;
-}
-
-static double bbob2009_round(double x) {
-  return floor(x + 0.5);
-}
-
-static void bbob2009_unif(std::vector<double> &r, size_t N, long inseed) {
-  /* generates N uniform numbers with starting seed */
-  long aktseed;
-  long tmp;
-  long rgrand[32];
-  long aktrand;
-  long i;
-  r = std::vector<double> (N);
-
-  if (inseed < 0)
-    inseed = -inseed;
-  if (inseed < 1)
-    inseed = 1;
-  aktseed = inseed;
-  for (i = 39; i >= 0; i--) {
-    tmp = (int) floor((double) aktseed / (double) 127773);
-    aktseed = 16807 * (aktseed - tmp * 127773) - 2836 * tmp;
-    if (aktseed < 0)
-      aktseed = aktseed + 2147483647;
-    if (i < 32)
-      rgrand[i] = aktseed;
-  }
-  aktrand = rgrand[0];
-  for (i = 0; i < N; i++) {
-    tmp = (int) floor((double) aktseed / (double) 127773);
-    aktseed = 16807 * (aktseed - tmp * 127773) - 2836 * tmp;
-    if (aktseed < 0)
-      aktseed = aktseed + 2147483647;
-    tmp = (int) floor((double) aktrand / (double) 67108865);
-    aktrand = rgrand[tmp];
-    rgrand[tmp] = aktseed;
-    r[i] = (double) aktrand / 2.147483647e9;
-    if (r[i] == 0.) {
-      r[i] = 1e-99;
-    }
-  }
-  return;
-}
-
-static void bbob2009_reshape(std::vector<std::vector<double> > &B, const std::vector<double> &vector, const size_t m, const size_t n) {
-  size_t i, j;
-  B = std::vector<std::vector<double> > (m);
-  for (i = 0; i < m; i++) {
-    B[i] = std::vector<double> (n);
-    for (j = 0; j < n; j++) {
-      B[i][j] = vector[j * m + i];
-    }
-  }
-}
-
-static void bbob2009_gauss(std::vector<double> &g, const size_t N, const long seed) {
-  size_t i;
-  g = std::vector<double> (N);
-  std::vector<double> uniftmp(6000);
-  assert(2 * N < 6000);
-  bbob2009_unif(uniftmp, 2 * N, seed);
-
-  for (i = 0; i < N; i++) {
-    g[i] = sqrt(-2 * log(uniftmp[i])) * cos(2 * coco_pi * uniftmp[N + i]);
-    if (g[i] == 0.)
-      g[i] = 1e-99;
-  }
-}
-
-static void bbob2009_compute_rotation(std::vector<std::vector<double> > &B, const long seed, const size_t DIM) {
-  /* To ensure temporary data fits into gvec */
-  double prod;
-  std::vector<double> gvect(2000);
-  long i, j, k; /* Loop over pairs of column vectors. */
-
-  bbob2009_gauss(gvect, DIM * DIM, seed);
-  bbob2009_reshape(B, gvect, DIM, DIM);
-  /*1st coordinate is row, 2nd is column.*/
-
-  for (i = 0; i < DIM; i++) {
-    for (j = 0; j < i; j++) {
-      prod = 0;
-      for (k = 0; k < DIM; k++)
-        prod += B[k][i] * B[k][j];
-      for (k = 0; k < DIM; k++)
-        B[k][i] -= prod * B[k][j];
-    }
-    prod = 0;
-    for (k = 0; k < DIM; k++)
-      prod += B[k][i] * B[k][i];
-    for (k = 0; k < DIM; k++)
-      B[k][i] /= sqrt(prod);
-  }
-
-}
-
-static void bbob2009_copy_rotation_matrix(const std::vector<std::vector<double> > &rot, std::vector<std::vector<double> > &M, std::vector<double> &b, const size_t DIM) {
-  size_t row, column;
-  double *current_row;
-
-  for (row = 0; row < DIM; ++row) {
-    for (column = 0; column < DIM; ++column) {
-      M[row][column] = rot[row][column];
-    }
-    b[row] = 0.0;
-  }
-}
-
-static void bbob2009_compute_xopt(std::vector<double> &xopt, const long seed, const size_t DIM) {
-  long i;
-  bbob2009_unif(xopt, DIM, seed);
-  for (i = 0; i < DIM; i++) {
-    xopt[i] = 8 * floor(1e4 * xopt[i]) / 1e4 - 4;
-    if (xopt[i] == 0.0)
-      xopt[i] = -1e-5;
-  }
-}
-
-static double bbob2009_compute_fopt(const size_t function, const size_t instance) {
-  long rseed, rrseed;
-  std::vector<double> gval, gval2;
-
-  if (function == 4)
-    rseed = 3;
-  else if (function == 18)
-    rseed = 17;
-  else if (function == 101 || function == 102 || function == 103 || function == 107
-      || function == 108 || function == 109)
-    rseed = 1;
-  else if (function == 104 || function == 105 || function == 106 || function == 110
-      || function == 111 || function == 112)
-    rseed = 8;
-  else if (function == 113 || function == 114 || function == 115)
-    rseed = 7;
-  else if (function == 116 || function == 117 || function == 118)
-    rseed = 10;
-  else if (function == 119 || function == 120 || function == 121)
-    rseed = 14;
-  else if (function == 122 || function == 123 || function == 124)
-    rseed = 17;
-  else if (function == 125 || function == 126 || function == 127)
-    rseed = 19;
-  else if (function == 128 || function == 129 || function == 130)
-    rseed = 21;
-  else
-    rseed = (long) function;
-
-  rrseed = rseed + (long) (10000 * instance);
-  bbob2009_gauss(gval, 1, rrseed);
-  bbob2009_gauss(gval2, 1, rrseed + 1);
-  return bbob2009_fmin(1000., bbob2009_fmax(-1000., bbob2009_round(100. * 100. * gval[0] / gval2[0]) / 100.));
-}
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_attractive_sector.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_attractive_sector.hpp.html deleted file mode 100644 index 1cb77fd9b..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_attractive_sector.hpp.html +++ /dev/null @@ -1,291 +0,0 @@ - - - - - - - - - - Program Listing for File f_attractive_sector.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
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- -
-

Program Listing for File f_attractive_sector.hpp

-

Return to documentation for file (src/Problems/BBOB/f_attractive_sector.hpp)

-
#ifndef _F_ATTRACTIVE_SECTOR_HPP
-#define _F_ATTRACTIVE_SECTOR_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Attractive_Sector : public IOHprofiler_problem<double> {
-public:
-  Attractive_Sector(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(6);
-    IOHprofiler_set_problem_name("Attractive_Sector");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Attractive_Sector() {};
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (6 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(6, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1, rot2;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-    for (int i = 0; i < n; ++i) {
-      b[i] = 0.0;
-      for (int j = 0; j < n; ++j) {
-        M[i][j] = 0.0;
-        for (int k = 0; k < n; ++k) {
-          double exponent = 1.0 * (int) k / ((double) (long) n - 1.0);
-          M[i][j] += rot1[i][k] * pow(sqrt(10.0), exponent) * rot2[k][j];
-        }
-      }
-    }
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    std::vector<double> result(1,0.0);
-
-    int n = x.size();
-
-    for (int i = 0; i < n; ++i) {
-      if (Coco_Transformation_Data::xopt[i] * x[i] > 0.0) {
-        result[0] += 100.0 * 100.0 * x[i] * x[i];
-      } else {
-        result[0] += x[i] * x[i];
-      }
-    }
-
-    return result[0];
-  }
-
-  static Attractive_Sector * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Attractive_Sector(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_bent_cigar.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_bent_cigar.hpp.html deleted file mode 100644 index c103bdf2a..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_bent_cigar.hpp.html +++ /dev/null @@ -1,281 +0,0 @@ - - - - - - - - - - Program Listing for File f_bent_cigar.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_bent_cigar.hpp

-

Return to documentation for file (src/Problems/BBOB/f_bent_cigar.hpp)

-
#ifndef _F_BENT_CIGAR_H
-#define _F_BENT_CIGAR_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Bent_Cigar : public IOHprofiler_problem<double> {
-public:
-  Bent_Cigar(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(12);
-    IOHprofiler_set_problem_name("Bent_Cigar");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Bent_Cigar() {};
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (12 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed + 1000000, n);
-    fopt = bbob2009_compute_fopt(12, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_copy_rotation_matrix(rot1,M,b,n);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-
-    static const double condition = 1.0e6;
-    size_t i;
-    int n = x.size();
-    std::vector<double> result(1);
-
-
-    result[0] = x[0] * x[0];
-    for (i = 1; i < n; ++i) {
-      result[0] += condition * x[i] * x[i];
-    }
-
-    return result[0];
-  }
-
-  static Bent_Cigar * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Bent_Cigar(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_bueche_rastrigin.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_bueche_rastrigin.hpp.html deleted file mode 100644 index be5fa03c2..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_bueche_rastrigin.hpp.html +++ /dev/null @@ -1,272 +0,0 @@ - - - - - - - - - - Program Listing for File f_bueche_rastrigin.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
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-

Program Listing for File f_bueche_rastrigin.hpp

-

Return to documentation for file (src/Problems/BBOB/f_bueche_rastrigin.hpp)

-
#ifndef _F_BUECHE_RASTRIGIN_H
-#define _F_BUECHE_RASTRIGIN_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Bueche_Rastrigin : public IOHprofiler_problem<double> {
-public:
-  Bueche_Rastrigin(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(4);
-    IOHprofiler_set_problem_name("Bueche_Rastrigin");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-  ~Bueche_Rastrigin() {};
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (3 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(4, this->IOHprofiler_get_instance_id());
-
-    for (int i = 0; i < n; i += 2) {
-      xopt[i] = fabs(xopt[i]);
-    }
-
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::penalty_factor = 100.0;
-    Coco_Transformation_Data::lower_bound = -5.0;
-    Coco_Transformation_Data::upper_bound = 5.0;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    double tmp = 0., tmp2 = 0.;
-    std::vector<double> result(1);
-    int n = x.size();
-
-    result[0] = 0.0;
-    for (int i = 0; i < n; ++i) {
-      tmp += cos(2 * coco_pi * x[i]);
-      tmp2 += x[i] * x[i];
-    }
-    result[0] = 10.0 * ((double) (long) n - tmp) + tmp2 + 0;
-
-    return result[0];
-  }
-
-  static Bueche_Rastrigin * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Bueche_Rastrigin(instance_id, dimension);
-  }
-};
-
-#endif
-
-
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Program Listing for File f_different_powers.hpp

-

Return to documentation for file (src/Problems/BBOB/f_different_powers.hpp)

-
#ifndef _F_DIFFERENT_POWERS_HPP
-#define _F_DIFFERENT_POWERS_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Different_Powers : public IOHprofiler_problem<double> {
-public:
-  Different_Powers(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(14);
-    IOHprofiler_set_problem_name("Different_Powers");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Different_Powers() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (14 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(14, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_copy_rotation_matrix(rot1,M,b,n);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    size_t i;
-    double sum = 0.0;
-    int n = x.size();
-    std::vector<double> result(1);
-
-   for (i = 0; i < n; ++i) {
-      double exponent = 2.0 + (4.0 * (double) (long) i) / ((double) (long) n - 1.0);
-      sum += pow(fabs(x[i]), exponent);
-    }
-    result[0] = sqrt(sum);
-
-    return result[0];
-  }
-
-  static Different_Powers * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Different_Powers(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_discus.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_discus.hpp.html deleted file mode 100644 index e3442122f..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_discus.hpp.html +++ /dev/null @@ -1,279 +0,0 @@ - - - - - - - - - - Program Listing for File f_discus.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_discus.hpp

-

Return to documentation for file (src/Problems/BBOB/f_discus.hpp)

-
#ifndef _F_DISCUS_H
-#define _F_DISCUS_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Discus : public IOHprofiler_problem<double> {
-public:
-  Discus(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(11);
-    IOHprofiler_set_problem_name("Discus");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0.0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Discus() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (11 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(11, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_copy_rotation_matrix(rot1,M,b,n);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    static const double condition = 1.0e6;
-    std::vector<double> result(1);
-    int n = x.size();
-
-
-    result[0] = condition * x[0] * x[0];
-    for (int i = 1; i < n; ++i) {
-      result[0] += x[i] * x[i];
-    }
-
-    return result[0];
-  }
-
-  static Discus * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Discus(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_ellipsoid.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_ellipsoid.hpp.html deleted file mode 100644 index 35ef9e7ee..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_ellipsoid.hpp.html +++ /dev/null @@ -1,268 +0,0 @@ - - - - - - - - - - Program Listing for File f_ellipsoid.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_ellipsoid.hpp

-

Return to documentation for file (src/Problems/BBOB/f_ellipsoid.hpp)

-
#ifndef _F_ELLIPSOID_H
-#define _F_ELLIPSOID_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Ellipsoid : public IOHprofiler_problem<double> {
-public:
-  Ellipsoid(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(2);
-    IOHprofiler_set_problem_name("Ellipsoid");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Ellipsoid() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (2 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(2, this->IOHprofiler_get_instance_id());
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-  }
-
-
-  double internal_evaluate(const std::vector<double> &x) {
-    static const double condition = 1.0e6;
-    size_t i = 0;
-    int n = x.size();
-    std::vector<double> result(1);
-
-
-    result[0] = x[i] * x[i];
-    for (i = 1; i < n; ++i) {
-      const double exponent = 1.0 * (double) (long) i / ((double) (long) n - 1.0);
-      result[0] += pow(condition, exponent) * x[i] * x[i];
-    }
-
-    return result[0];
-  }
-
-  static Ellipsoid * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Ellipsoid(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_ellipsoid_rotated.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_ellipsoid_rotated.hpp.html deleted file mode 100644 index 09b89d4b9..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_ellipsoid_rotated.hpp.html +++ /dev/null @@ -1,282 +0,0 @@ - - - - - - - - - - Program Listing for File f_ellipsoid_rotated.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_ellipsoid_rotated.hpp

-

Return to documentation for file (src/Problems/BBOB/f_ellipsoid_rotated.hpp)

-
#ifndef _F_ELLIPSOID_ROTATED_H
-#define _F_ELLIPSOID_ROTATED_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Ellipsoid_Rotated : public IOHprofiler_problem<double> {
-public:
-  Ellipsoid_Rotated(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(10);
-    IOHprofiler_set_problem_name("Ellipsoid_Rotated");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Ellipsoid_Rotated() {}
-
-  void prepare_problem() {
-    /* compute xopt, fopt*/
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (10 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(10, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_copy_rotation_matrix(rot1, M, b, n);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-  }
-
-
-  double internal_evaluate(const std::vector<double> &x) {
-    static const double condition = 1.0e6;
-    size_t i = 0;
-    int n = x.size();
-    std::vector<double> result(1);
-
-
-    result[0] = x[i] * x[i];
-    for (i = 1; i < n; ++i) {
-      const double exponent = 1.0 * (double) (long) i / ((double) (long) n - 1.0);
-      result[0] += pow(condition, exponent) * x[i] * x[i];
-    }
-
-    return result[0];
-  }
-
-  static Ellipsoid_Rotated * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Ellipsoid_Rotated(instance_id, dimension);
-  }
-};
-
-#endif
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_gallagher101.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_gallagher101.hpp.html deleted file mode 100644 index 6f39ac794..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_gallagher101.hpp.html +++ /dev/null @@ -1,425 +0,0 @@ - - - - - - - - - - Program Listing for File f_gallagher101.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_gallagher101.hpp

-

Return to documentation for file (src/Problems/BBOB/f_gallagher101.hpp)

-
#ifndef _F_GALLAGHERONEZEROONE_H
-#define _F_GALLAGHERONEZEROONE_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-typedef struct f_gallagher_permutation_t1{
-  double value;
-  size_t index;
-}F_GALLAGHER_PERMUTATION_T1;
-
-// static bool compareRperm(f_gallagher_permutation_t1 a, f_gallagher_permutation_t1 b) {
-//   double temp = a.value - b.value;
-//   if (temp >= 0)
-//     return true;
-//   else
-//     return false;
-// }
-
-static int f_gallagher_compare_doubles1(const void *a, const void *b) {
-  double temp = (*(f_gallagher_permutation_t1 *) a).value - (*(f_gallagher_permutation_t1 *) b).value;
-  if (temp > 0)
-    return 1;
-  else if (temp < 0)
-    return -1;
-  else
-    return 0;
-}
-
-
-class Gallagher101 : public IOHprofiler_problem<double> {
-public:
-  Gallagher101(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(21);
-    IOHprofiler_set_problem_name("Gallagher101");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Gallagher101() {}
-
-  std::vector<double> xopt;
-  const size_t number_of_peaks = 101;
-  std::vector<std::vector<double> > rotation;
-  std::vector<std::vector<double> > arr_scales;
-  std::vector<std::vector<double> > x_local;
-  std::vector<double> peak_values;
-  void prepare_problem() {
-    const long rseed = (long) (21 + 10000 * this->IOHprofiler_get_instance_id());
-    int n = IOHprofiler_get_number_of_variables();
-
-    double fopt;
-    size_t i, j, k;
-    double maxcondition = 1000.;
-    /* maxcondition1 satisfies the old code and the doc but seems wrong in that it is, with very high
-    * probability, not the largest condition level!!! */
-    double maxcondition1 = 1000.;
-    std::vector<double> arrCondition;
-    double fitvalues[2] = { 1.1, 9.1 };
-    /* Parameters for generating local optima. In the old code, they are different in f21 and f22 */
-    double b, c;
-    /* Random permutation */
-    //std::vector<f_gallagher_permutation_t1> rperm;
-    f_gallagher_permutation_t1 *rperm;
-
-    std::vector<double> random_numbers;
-    arr_scales = std::vector<std::vector<double> > (number_of_peaks);
-    for (i = 0; i != number_of_peaks; ++i) {
-      arr_scales[i] = std::vector<double>(n);
-    }
-
-    x_local = std::vector<std::vector<double> > (n);
-    for (i = 0; i != n; ++i) {
-      x_local[i] = std::vector<double>(number_of_peaks);
-    }
-
-    /* Allocate temporary storage and space for the rotation matrices */
-    std::vector<double >xopt = std::vector<double>(n);
-
-    maxcondition1 = sqrt(maxcondition1);
-    b = 10.;
-    c = 5.;
-
-    bbob2009_compute_rotation(rotation, rseed, n);
-
-    /* Initialize all the data of the inner problem */
-    bbob2009_unif(random_numbers, number_of_peaks - 1, rseed);
-    //rperm = std::vector<f_gallagher_permutation_t1> (number_of_peaks - 1);
-    rperm = (f_gallagher_permutation_t1 *)malloc((number_of_peaks-1) * sizeof(f_gallagher_permutation_t1));
-    for (i = 0; i < number_of_peaks - 1; ++i) {
-      rperm[i].value = random_numbers[i];
-      rperm[i].index = i;
-    }
-    //std::sort(rperm.begin(), rperm.end(), compareRperm);
-    qsort(rperm, number_of_peaks - 1, sizeof(f_gallagher_permutation_t1), f_gallagher_compare_doubles1);
-
-    /* Random permutation */
-    arrCondition = std::vector<double>(number_of_peaks);
-    arrCondition[0] = maxcondition1;
-    peak_values = std::vector<double>(number_of_peaks);
-    peak_values[0] = 10;
-    for (i = 1; i < number_of_peaks; ++i) {
-      arrCondition[i] = pow(maxcondition, (double) (rperm[i - 1].index) / ((double) (number_of_peaks - 2)));
-      peak_values[i] = (double) (i - 1) / (double) (number_of_peaks - 2) * (fitvalues[1] - fitvalues[0])
-          + fitvalues[0];
-    }
-
-    free(rperm);
-    rperm = (f_gallagher_permutation_t1 *)malloc((n) * sizeof(f_gallagher_permutation_t1));
-
-    //rperm = std::vector<f_gallagher_permutation_t1> (n);
-    for (i = 0; i < number_of_peaks; ++i) {
-      bbob2009_unif(random_numbers, n, rseed + (long) (1000 * i));
-      for (j = 0; j < n; ++j) {
-        rperm[j].value = random_numbers[j];
-        rperm[j].index = j;
-      }
-      //std::sort(rperm.begin(), rperm.end(), compareRperm);
-      qsort(rperm, n, sizeof(f_gallagher_permutation_t1), f_gallagher_compare_doubles1);
-      for (j = 0; j < n; ++j) {
-        arr_scales[i][j] = pow(arrCondition[i],                             /* Lambda^alpha_i from the doc */
-            ((double) rperm[j].index) / ((double) (n - 1)) - 0.5);
-      }
-    }
-    free(rperm);
-    bbob2009_unif(random_numbers, n * number_of_peaks, rseed);
-    std::vector<double> best_variables(n);
-    for (i = 0; i < n; ++i) {
-      xopt[i] = 0.8 * (b * random_numbers[i] - c);
-      best_variables[i] = 0.8 * (b * random_numbers[i] - c);
-      for (j = 0; j < number_of_peaks; ++j) {
-        x_local[i][j] = 0.;
-        for (k = 0; k < n; ++k) {
-          x_local[i][j] += rotation[i][k] * (b * random_numbers[j * n + k] - c);
-        }
-        if (j == 0) {
-          x_local[i][j] *= 0.8;
-        }
-      }
-    }
-    IOHprofiler_set_best_variables(best_variables);
-
-    fopt = bbob2009_compute_fopt(21, this->IOHprofiler_get_instance_id());
-    Coco_Transformation_Data::fopt = fopt;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-
-    size_t i, j; /* Loop over dim */
-    std::vector<double> tmx(n);
-    double a = 0.1;
-    double tmp2, f = 0., f_add, tmp, f_pen = 0., f_true = 0.;
-    double fac;
-    std::vector<double> result(1);
-
-
-    fac = -0.5 / (double) n;
-
-    /* Boundary handling */
-    for (i = 0; i < n; ++i) {
-      tmp = fabs(x[i]) - 5.;
-      if (tmp > 0.) {
-        f_pen += tmp * tmp;
-      }
-    }
-    f_add = f_pen;
-    /* Transformation in search space */
-    /* TODO: this should rather be done in f_gallagher */
-
-    for (i = 0; i < n; i++) {
-      tmx[i] = 0;
-      for (j = 0; j < n; ++j) {
-        tmx[i] += rotation[i][j] * x[j];
-      }
-    }
-    /* Computation core*/
-    for (i = 0; i < number_of_peaks; ++i) {
-      tmp2 = 0.;
-      for (j = 0; j < n; ++j) {
-        tmp = (tmx[j] - x_local[j][i]);
-        tmp2 += arr_scales[i][j] * tmp * tmp;
-      }
-      tmp2 = peak_values[i] * exp(fac * tmp2);
-      f = f > tmp2 ? f : tmp2;
-    }
-
-    f = 10. - f;
-    if (f > 0) {
-      f_true = log(f) / a;
-      f_true = pow(exp(f_true + 0.49 * (sin(f_true) + sin(0.79 * f_true))), a);
-    } else if (f < 0) {
-      f_true = log(-f) / a;
-      f_true = -pow(exp(f_true + 0.49 * (sin(0.55 * f_true) + sin(0.31 * f_true))), a);
-    } else {
-      f_true = f;
-    }
-
-    f_true *= f_true;
-    f_true += f_add;
-    result[0] = f_true;
-
-    return result[0];
-  }
-
-  static Gallagher101 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Gallagher101(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
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- - -
-
-
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- -
-

Program Listing for File f_gallagher21.hpp

-

Return to documentation for file (src/Problems/BBOB/f_gallagher21.hpp)

-
#ifndef _F_GALLAGHERTWOONE_H
-#define _F_GALLAGHERTWOONE_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-typedef struct f_gallagher_permutation_t{
-  double value;
-  size_t index;
-}F_GALLAGHER_PERMUTATION_T;
-
-// static bool compareRperm(f_gallagher_permutation_t a, f_gallagher_permutation_t b) {
-//   double temp = a.value - b.value;
-//   if (temp >= 0)
-//     return true;
-//   else
-//     return false;
-// }
-
-static int f_gallagher_compare_doubles(const void *a, const void *b) {
-  double temp = (*(f_gallagher_permutation_t *) a).value - (*(f_gallagher_permutation_t *) b).value;
-  if (temp > 0)
-    return 1;
-  else if (temp < 0)
-    return -1;
-  else
-    return 0;
-}
-
-
-class Gallagher21 : public IOHprofiler_problem<double> {
-public:
-  Gallagher21(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(22);
-    IOHprofiler_set_problem_name("Gallagher21");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Gallagher21() {}
-
-  std::vector<double> xopt;
-  const size_t number_of_peaks = 21;
-  std::vector<std::vector<double> > rotation;
-  std::vector<std::vector<double> > arr_scales;
-  std::vector<std::vector<double> > x_local;
-  std::vector<double> peak_values;
-
-  void prepare_problem() {
-    const long rseed = (long) (22 + 10000 * this->IOHprofiler_get_instance_id());
-    int n = IOHprofiler_get_number_of_variables();
-
-    double fopt;
-    size_t i, j, k;
-    double maxcondition = 1000.;
-    /* maxcondition1 satisfies the old code and the doc but seems wrong in that it is, with very high
-    * probability, not the largest condition level!!! */
-    double maxcondition1 = 1000.;
-    std::vector<double> arrCondition;
-    double fitvalues[2] = { 1.1, 9.1 };
-    /* Parameters for generating local optima. In the old code, they are different in f21 and f22 */
-    double b, c;
-    /* Random permutation */
-    //std::vector<f_gallagher_permutation_t> rperm;
-    f_gallagher_permutation_t *rperm;
-
-    std::vector<double> random_numbers;
-    arr_scales = std::vector<std::vector<double> > (number_of_peaks);
-    for (i = 0; i != number_of_peaks; ++i) {
-      arr_scales[i] = std::vector<double>(n);
-    }
-
-    x_local = std::vector<std::vector<double> > (n);
-    for (i = 0; i != n; ++i) {
-      x_local[i] = std::vector<double>(number_of_peaks);
-    }
-
-    /* Allocate temporary storage and space for the rotation matrices */
-    std::vector<double >xopt = std::vector<double>(n);
-
-    b = 9.8;
-    c = 4.9;
-
-    bbob2009_compute_rotation(rotation, rseed, n);
-
-    /* Initialize all the data of the inner problem */
-    bbob2009_unif(random_numbers, number_of_peaks - 1, rseed);
-    //rperm = std::vector<f_gallagher_permutation_t> (number_of_peaks - 1);
-    rperm = (f_gallagher_permutation_t *)malloc((number_of_peaks-1) * sizeof(f_gallagher_permutation_t));
-    for (i = 0; i < number_of_peaks - 1; ++i) {
-      rperm[i].value = random_numbers[i];
-      rperm[i].index = i;
-    }
-    //std::sort(rperm.begin(), rperm.end(), compareRperm);
-    qsort(rperm, number_of_peaks - 1, sizeof(f_gallagher_permutation_t), f_gallagher_compare_doubles);
-
-    /* Random permutation */
-    arrCondition = std::vector<double>(number_of_peaks);
-    arrCondition[0] = maxcondition1;
-    peak_values = std::vector<double>(number_of_peaks);
-    peak_values[0] = 10;
-    for (i = 1; i < number_of_peaks; ++i) {
-      arrCondition[i] = pow(maxcondition, (double) (rperm[i - 1].index) / ((double) (number_of_peaks - 2)));
-      peak_values[i] = (double) (i - 1) / (double) (number_of_peaks - 2) * (fitvalues[1] - fitvalues[0])
-          + fitvalues[0];
-    }
-
-    free(rperm);
-    rperm = (f_gallagher_permutation_t *)malloc((n) * sizeof(f_gallagher_permutation_t));
-
-    //rperm = std::vector<f_gallagher_permutation_t> (n);
-    for (i = 0; i < number_of_peaks; ++i) {
-      bbob2009_unif(random_numbers, n, rseed + (long) (1000 * i));
-      for (j = 0; j < n; ++j) {
-        rperm[j].value = random_numbers[j];
-        rperm[j].index = j;
-      }
-      //std::sort(rperm.begin(), rperm.end(), compareRperm);
-      qsort(rperm, n, sizeof(f_gallagher_permutation_t), f_gallagher_compare_doubles);
-      for (j = 0; j < n; ++j) {
-        arr_scales[i][j] = pow(arrCondition[i],                             /* Lambda^alpha_i from the doc */
-            ((double) rperm[j].index) / ((double) (n - 1)) - 0.5);
-      }
-    }
-    free(rperm);
-    bbob2009_unif(random_numbers, n * number_of_peaks, rseed);
-    std::vector<double> best_variables(n);
-    for (i = 0; i < n; ++i) {
-      xopt[i] = 0.8 * (b * random_numbers[i] - c);
-      best_variables[i] = 0.8 * (b * random_numbers[i] - c);
-      for (j = 0; j < number_of_peaks; ++j) {
-        x_local[i][j] = 0.;
-        for (k = 0; k < n; ++k) {
-          x_local[i][j] += rotation[i][k] * (b * random_numbers[j * n + k] - c);
-        }
-        if (j == 0) {
-          x_local[i][j] *= 0.8;
-        }
-      }
-    }
-    IOHprofiler_set_best_variables(best_variables);
-
-    fopt = bbob2009_compute_fopt(22, this->IOHprofiler_get_instance_id());
-    Coco_Transformation_Data::fopt = fopt;
-  }
-
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-
-    size_t i, j; /* Loop over dim */
-    std::vector<double> tmx(n);
-    double a = 0.1;
-    double tmp2, f = 0., f_add, tmp, f_pen = 0., f_true = 0.;
-    double fac;
-    std::vector<double> result(1);
-
-
-    fac = -0.5 / (double) n;
-
-    /* Boundary handling */
-    for (i = 0; i < n; ++i) {
-      tmp = fabs(x[i]) - 5.;
-      if (tmp > 0.) {
-        f_pen += tmp * tmp;
-      }
-    }
-    f_add = f_pen;
-    /* Transformation in search space */
-    /* TODO: this should rather be done in f_gallagher */
-
-    for (i = 0; i < n; i++) {
-      tmx[i] = 0;
-      for (j = 0; j < n; ++j) {
-        tmx[i] += rotation[i][j] * x[j];
-      }
-    }
-    /* Computation core*/
-    for (i = 0; i < number_of_peaks; ++i) {
-      tmp2 = 0.;
-      for (j = 0; j < n; ++j) {
-        tmp = (tmx[j] - x_local[j][i]);
-        tmp2 += arr_scales[i][j] * tmp * tmp;
-      }
-      tmp2 = peak_values[i] * exp(fac * tmp2);
-      f = f > tmp2 ? f : tmp2;
-    }
-
-    f = 10. - f;
-    if (f > 0) {
-      f_true = log(f) / a;
-      f_true = pow(exp(f_true + 0.49 * (sin(f_true) + sin(0.79 * f_true))), a);
-    } else if (f < 0) {
-      f_true = log(-f) / a;
-      f_true = -pow(exp(f_true + 0.49 * (sin(0.55 * f_true) + sin(0.31 * f_true))), a);
-    } else {
-      f_true = f;
-    }
-
-    f_true *= f_true;
-    f_true += f_add;
-    result[0] = f_true;
-
-    return result[0];
-  }
-
-  static Gallagher21 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Gallagher21(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_griewank_rosenbrock.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_griewank_rosenbrock.hpp.html deleted file mode 100644 index 2b9d5045e..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_griewank_rosenbrock.hpp.html +++ /dev/null @@ -1,305 +0,0 @@ - - - - - - - - - - Program Listing for File f_griewank_rosenbrock.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- -
-

Program Listing for File f_griewank_rosenbrock.hpp

-

Return to documentation for file (src/Problems/BBOB/f_griewank_rosenbrock.hpp)

-
#ifndef _F_GRIEWANK_ROSENBROCK_H
-#define _F_GRIEWANK_ROSENBROCK_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Griewank_RosenBrock : public IOHprofiler_problem<double> {
-public:
-  Griewank_RosenBrock(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(19);
-    IOHprofiler_set_problem_name("Griewank_RosenBrock");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Griewank_RosenBrock() {}
-
-  double scales;
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (19 + 10000 * this->IOHprofiler_get_instance_id());
-    fopt = bbob2009_compute_fopt(19, this->IOHprofiler_get_instance_id());
-    xopt = std::vector<double>(n);
-    for (int i = 0; i < n; ++i) {
-      xopt[i] = -0.5;
-    }
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    bbob2009_compute_rotation(rot1, rseed, n);
-    scales = 1. > (sqrt((double) n) / 8.) ? 1. : (sqrt((double) n) / 8.);
-    for (int i = 0; i < n; ++i) {
-      for (int j = 0; j < n; ++j) {
-        rot1[i][j] *= scales;
-      }
-    }
-    bbob2009_copy_rotation_matrix(rot1,M,b,n);
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-
-    // double tmp;
-    // std::vector<double> tmp_best_variables(n,0);
-    // for (int j = 0; j < n; ++j) {
-    //   tmp = 0;
-    //   for (int i = 0; i < n; ++i) {
-    //     tmp += rot1[i][j];
-    //   }
-    //   tmp_best_variables[j] = tmp / (2. * scales);
-    // }
-    // IOHprofiler_set_best_variables(tmp_best_variables);
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    size_t i = 0;
-    double tmp = 0;
-    std::vector<double> result(1);
-    int n = x.size();
-
-    /* Computation core */
-    result[0] = 0.0;
-    for (i = 0; i < n - 1; ++i) {
-      const double c1 = x[i] * x[i] - x[i + 1];
-      const double c2 = 1.0 - x[i];
-      tmp = 100.0 * c1 * c1 + c2 * c2;
-      result[0] += tmp / 4000. - cos(tmp);
-    }
-    result[0] = 10. + 10. * result[0] / (double) (n - 1);
-
-    return result[0];
-  }
-
-  static Griewank_RosenBrock * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Griewank_RosenBrock(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
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- - -
-
-
-
- -
-

Program Listing for File f_katsuura.hpp

-

Return to documentation for file (src/Problems/BBOB/f_katsuura.hpp)

-
#ifndef _F_KATSUURA_H
-#define _F_KATSUURA_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Katsuura : public IOHprofiler_problem<double> {
-public:
-  Katsuura(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(23);
-    IOHprofiler_set_problem_name("Katsuura");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Katsuura() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    const double penalty_factor = 1.0;
-    /* compute xopt, fopt*/
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (23 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(23, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    std::vector<std::vector<double> > rot2;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-    for (int i = 0; i < n; ++i) {
-      b[i] = 0.0;
-      for (int j = 0; j < n; ++j) {
-        M[i][j] = 0.0;
-        for (int k = 0; k < n; ++k) {
-          double exponent = 1.0 * (int) k / ((double) (long) n - 1.0);
-          M[i][j] += rot1[i][k] * pow(sqrt(100.0), exponent) * rot2[k][j];
-        }
-      }
-    }
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-    Coco_Transformation_Data::penalty_factor = penalty_factor;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i, j;
-    double tmp, tmp2;
-    std::vector<double> result(1);
-
-    /* Computation core */
-    result[0] = 1.0;
-    for (i = 0; i < n; ++i) {
-      tmp = 0;
-      for (j = 1; j < 33; ++j) {
-        tmp2 = pow(2., (double) j);
-        tmp += fabs(tmp2 * x[i] - floor(tmp2 * x[i] + 0.5)) / tmp2;
-      }
-      tmp = 1.0 + ((double) (long) i + 1) * tmp;
-      /*result *= tmp;*/ /* Wassim TODO: delete once consistency check passed*/
-      result[0] *= pow(tmp, 10. / pow((double) n, 1.2));
-    }
-    /*result = 10. / ((double) number_of_variables) / ((double) number_of_variables)
-        * (-1. + pow(result, 10. / pow((double) number_of_variables, 1.2)));*/
-    result[0] = 10. / ((double) n) / ((double) n) * (-1. + result[0]);
-
-    return result[0];
-  }
-
-  static Katsuura * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Katsuura(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_linear_slope.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_linear_slope.hpp.html deleted file mode 100644 index b60d615bc..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_linear_slope.hpp.html +++ /dev/null @@ -1,288 +0,0 @@ - - - - - - - - - - Program Listing for File f_linear_slope.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_linear_slope.hpp

-

Return to documentation for file (src/Problems/BBOB/f_linear_slope.hpp)

-
#ifndef _F_LINEAR_SLOPE_H
-#define _F_LINEAR_SLOPE_H
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Linear_Slope : public IOHprofiler_problem<double> {
-public:
-  Linear_Slope(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(5);
-    IOHprofiler_set_problem_name("Linear_Slope");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Linear_Slope() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (5 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(5, this->IOHprofiler_get_instance_id());
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-
-    std::vector<double> tmp_best_variables = std::vector<double>(n);
-    for (int i = 0; i < n; ++i) {
-      if (xopt[i] < 0.0) {
-        tmp_best_variables[i] = this->IOHprofiler_get_lowerbound()[i];
-      } else {
-        tmp_best_variables[i] = this->IOHprofiler_get_upperbound()[i];
-      }
-    }
-    this->IOHprofiler_set_best_variables(tmp_best_variables);
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    static const double alpha = 100.0;
-    size_t i;
-    std::vector<double> result(1);
-
-    for (i = 0; i < n; ++i) {
-      double base, exponent, si;
-
-      base = sqrt(alpha);
-      exponent = (double) (long) i / ((double) (long) n - 1);
-      if (Coco_Transformation_Data::xopt[i] > 0.0) {
-        si = pow(base, exponent);
-      } else {
-        si = -pow(base, exponent);
-      }
-      /* boundary handling */
-      if (x[i] * Coco_Transformation_Data::xopt[i] < 25.0) {
-        result[0] += 5.0 * fabs(si) - si * x[i];
-      } else {
-        result[0] += 5.0 * fabs(si) - si * Coco_Transformation_Data::xopt[i];
-      }
-    }
-
-    return result[0];
-  }
-
-  static Linear_Slope * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Linear_Slope(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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-

Program Listing for File f_lunacek_bi_rastrigin.hpp

-

Return to documentation for file (src/Problems/BBOB/f_lunacek_bi_rastrigin.hpp)

-
#ifndef _F_LUNACEK_BI_RASTRIGIN_HPP
-#define _F_LUNACEK_BI_RASTRIGIN_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Lunacek_Bi_Rastrigin : public IOHprofiler_problem<double> {
-public:
-  Lunacek_Bi_Rastrigin(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(24);
-    IOHprofiler_set_problem_name("Lunacek_Bi_Rastrigin");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Lunacek_Bi_Rastrigin() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    std::vector<std::vector<double> > rot1;
-    std::vector<std::vector<double> > rot2;
-    double fopt;
-    std::vector<double> tmpvect;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (24 + 10000 * this->IOHprofiler_get_instance_id());
-
-    fopt = bbob2009_compute_fopt(24, this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-
-    Coco_Transformation_Data::fopt = fopt;
-
-    Coco_Transformation_Data::rot1 = rot1;
-    Coco_Transformation_Data::rot2 = rot2;
-
-
-    bbob2009_gauss(tmpvect, n, rseed);
-    for (int i = 0; i < n; ++i) {
-      xopt[i] = 0.5 * 2.5;
-      if (tmpvect[i] < 0.0) {
-        xopt[i] *= -1.0;
-      }
-    }
-    Coco_Transformation_Data::xopt = xopt;
-    IOHprofiler_set_best_variables(xopt);
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    std::vector<double> result(1);
-    int n = x.size();
-    static const double condition = 100.;
-    size_t i, j;
-    double penalty = 0.0;
-    static const double mu0 = 2.5;
-    static const double d = 1.;
-    const double s = 1. - 0.5 / (sqrt((double) (n + 20)) - 4.1);
-    const double mu1 = -sqrt((mu0 * mu0 - d) / s);
-    double sum1 = 0., sum2 = 0., sum3 = 0.;
-    std::vector<double> tmpvect(n);
-    std::vector<double> x_hat(n);
-    std::vector<double> z(n);
-
-    for (i = 0; i < n; ++i) {
-      double tmp;
-      tmp = fabs(x[i]) - 5.0;
-      if (tmp > 0.0)
-        penalty += tmp * tmp;
-    }
-
-    /* x_hat */
-    for (i = 0; i < n; ++i) {
-      x_hat[i] = 2. * x[i];
-      if (Coco_Transformation_Data::xopt[i] < 0.) {
-        x_hat[i] *= -1.;
-      }
-    }
-    /* affine transformation */
-    for (i = 0; i < n; ++i) {
-      double c1;
-      tmpvect[i] = 0.0;
-      c1 = pow(sqrt(condition), ((double) i) / (double) (n - 1));
-      for (j = 0; j < n; ++j) {
-        tmpvect[i] += c1 * Coco_Transformation_Data::rot2[i][j] * (x_hat[j] - mu0);
-      }
-    }
-    for (i = 0; i < n; ++i) {
-      z[i] = 0;
-      for (j = 0; j < n; ++j) {
-        z[i] += Coco_Transformation_Data::rot1[i][j] * tmpvect[j];
-      }
-    }
-    /* Computation core */
-    for (i = 0; i < n; ++i) {
-      sum1 += (x_hat[i] - mu0) * (x_hat[i] - mu0);
-      sum2 += (x_hat[i] - mu1) * (x_hat[i] - mu1);
-      sum3 += cos(2 * coco_pi * z[i]);
-    }
-    result[0] = std::min(sum1, d * (double) n + s * sum2)
-        + 10. * ((double) n - sum3) + 1e4 * penalty;
-    return result[0];
-  }
-
-  static Lunacek_Bi_Rastrigin * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Lunacek_Bi_Rastrigin(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rastrigin.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rastrigin.hpp.html deleted file mode 100644 index 45f34fc6e..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rastrigin.hpp.html +++ /dev/null @@ -1,269 +0,0 @@ - - - - - - - - - - Program Listing for File f_rastrigin.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File f_rastrigin.hpp

-

Return to documentation for file (src/Problems/BBOB/f_rastrigin.hpp)

-
#ifndef _F_RASTRIGIN_HPP
-#define _F_RASTRIGIN_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Rastrigin : public IOHprofiler_problem<double> {
-public:
-  Rastrigin(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(3);
-    IOHprofiler_set_problem_name("Rastrigin");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Rastrigin() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (3 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(3, this->IOHprofiler_get_instance_id());
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    size_t i = 0;
-    std::vector<double> result(1);
-    int n = x.size();
-    double sum1 = 0.0, sum2 = 0.0;
-
-    for (i = 0; i < n; ++i) {
-      sum1 += cos(2.0 * coco_pi * x[i]);
-      sum2 += x[i] * x[i];
-    }
-    /* double check std::isinf*/
-    if (std::isinf(sum2)) {
-      return sum2;
-    }
-    result[0] = 10.0 * ((double) (long) n - sum1) + sum2;
-    return result[0];
-  }
-
-  static Rastrigin * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Rastrigin(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rastrigin_rotated.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rastrigin_rotated.hpp.html deleted file mode 100644 index 4b31c3ccb..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rastrigin_rotated.hpp.html +++ /dev/null @@ -1,303 +0,0 @@ - - - - - - - - - - Program Listing for File f_rastrigin_rotated.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- -
-

Program Listing for File f_rastrigin_rotated.hpp

-

Return to documentation for file (src/Problems/BBOB/f_rastrigin_rotated.hpp)

-
#ifndef _F_RASTRIGIN_ROTATED_HPP
-#define _F_RASTRIGIN_ROTATED_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Rastrigin_Rotated : public IOHprofiler_problem<double> {
-public:
-  Rastrigin_Rotated(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(15);
-    IOHprofiler_set_problem_name("Rastrigin_Rotated");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Rastrigin_Rotated() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    std::vector<std::vector<double> > M1;
-    std::vector<double> b1;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (15 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(15, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    M1 = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-      M1[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    b1 = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    std::vector<std::vector<double> > rot2;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-    for (int i = 0; i < n; ++i) {
-        b[i] = 0.0;
-        for (int j = 0; j < n; ++j) {
-            M[i][j] = 0.0;
-            for (int k = 0; k < n; ++k) {
-                double exponent = 1.0 * (int) k / ((double) (long) n - 1.0);
-                M[i][j] += rot1[i][k] * pow(sqrt(10.0), exponent) * rot2[k][j];
-            }
-        }
-    }
-    bbob2009_copy_rotation_matrix(rot1, M1, b1, n);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-    Coco_Transformation_Data::M1 = M1;
-    Coco_Transformation_Data::b1 = b1;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    size_t i = 0;
-    std::vector<double> result(1);
-    int n = x.size();
-    double sum1 = 0.0, sum2 = 0.0;
-
-    for (i = 0; i < n; ++i) {
-      sum1 += cos(2.0 * coco_pi * x[i]);
-      sum2 += x[i] * x[i];
-    }
-    /* double check std::isinf*/
-    if (std::isinf(sum2)) {
-      return sum2;
-    }
-    result[0] = 10.0 * ((double) (long) n - sum1) + sum2;
-
-    return result[0];
-  }
-
-  static Rastrigin_Rotated * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Rastrigin_Rotated(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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-

Program Listing for File f_rosenbrock.hpp

-

Return to documentation for file (src/Problems/BBOB/f_rosenbrock.hpp)

-
#ifndef _F_ROSENBROCK_HPP
-#define _F_ROSENBROCK_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Rosenbrock : public IOHprofiler_problem<double> {
-public:
-  Rosenbrock(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(8);
-    IOHprofiler_set_problem_name("Rosenbrock");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Rosenbrock() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    std::vector<double> minus_one;
-    double fopt, factor;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (8 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(8, this->IOHprofiler_get_instance_id());
-
-    for (int i = 0; i < n; ++i) {
-      minus_one.push_back(-1.0);
-      xopt[i] *= 0.75;
-    }
-
-    factor = 1.0 > (sqrt((double) n) / 8.0) ? 1 : (sqrt((double) n) / 8.0);
-    Coco_Transformation_Data::minus_one = minus_one;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::factor = factor;
-    Coco_Transformation_Data::fopt = fopt;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i = 0;
-    std::vector<double> result(1);
-    double s1 = 0.0, s2 = 0.0, tmp;
-
-    for (i = 0; i < n - 1; ++i) {
-      tmp = (x[i] * x[i] - x[i + 1]);
-      s1 += tmp * tmp;
-      tmp = (x[i] - 1.0);
-      s2 += tmp * tmp;
-    }
-    result[0] = 100.0 * s1 + s2;
-
-    return result[0];
-  }
-
-  static Rosenbrock * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Rosenbrock(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
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-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rosenbrock_rotated.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rosenbrock_rotated.hpp.html deleted file mode 100644 index 13a3fb012..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_rosenbrock_rotated.hpp.html +++ /dev/null @@ -1,297 +0,0 @@ - - - - - - - - - - Program Listing for File f_rosenbrock_rotated.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_rosenbrock_rotated.hpp

-

Return to documentation for file (src/Problems/BBOB/f_rosenbrock_rotated.hpp)

-
#ifndef _F_ROSENBROCK_ROTATED_HPP
-#define _F_ROSENBROCK_ROTATED_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Rosenbrock_Rotated : public IOHprofiler_problem<double> {
-public:
-  Rosenbrock_Rotated(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(9);
-    IOHprofiler_set_problem_name("Rosenbrock_Rotated");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Rosenbrock_Rotated() {}
-
-  void prepare_problem() {
-    double fopt, factor;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (9 + 10000 * this->IOHprofiler_get_instance_id());
-    fopt = bbob2009_compute_fopt(9, this->IOHprofiler_get_instance_id());
-
-    factor = 1.0 > (sqrt((double) n) / 8.0) ? 1 : (sqrt((double) n) / 8.0);
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    bbob2009_compute_rotation(rot1, rseed, n);
-    for (int row = 0; row < n; ++row) {
-      for (int column = 0; column < n; ++column) {
-        M[row][column] = factor * rot1[row][column];
-      }
-      b[row] = 0.5;
-    }
-
-    // std::vector<double> tmp_best_variables(n,0.0);
-    // for (int column = 0; column < n; ++column) { /* Wassim: manually set xopt = rot1^T ones(dimension)/(2*factor) */
-    //   double tmp = 0;
-    //   for (int row = 0; row < n; ++row) {
-    //     tmp += rot1[row][column];
-    //   }
-    //   tmp_best_variables[column] = tmp / (2. * factor);
-    // }
-    // IOHprofiler_set_best_variables(tmp_best_variables);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::factor = factor;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i = 0;
-    std::vector<double> result(1);
-    double s1 = 0.0, s2 = 0.0, tmp;
-
-    for (i = 0; i < n - 1; ++i) {
-      tmp = (x[i] * x[i] - x[i + 1]);
-      s1 += tmp * tmp;
-      tmp = (x[i] - 1.0);
-      s2 += tmp * tmp;
-    }
-    result[0] = 100.0 * s1 + s2;
-
-    return result[0];
-  }
-
-  static Rosenbrock_Rotated * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Rosenbrock_Rotated(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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Program Listing for File f_schaffers10.hpp

-

Return to documentation for file (src/Problems/BBOB/f_schaffers10.hpp)

-
#ifndef _F_SCHAFFERSTEN_HPP
-#define _F_SCHAFFERSTEN_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Schaffers10 : public IOHprofiler_problem<double> {
-public:
-  Schaffers10(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(17);
-    IOHprofiler_set_problem_name("Schaffers10");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Schaffers10() {}
-
-  const double conditioning = 10;
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<std::vector<double> > M1;
-    std::vector<double> b;
-    std::vector<double> b1;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (17 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(17, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    M1 = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-      M1[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    b1 = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    std::vector<std::vector<double> > rot2;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-    for (int i = 0; i < n; ++i) {
-      b[i] = 0.0;
-      for (int j = 0; j < n; ++j) {
-        double exponent = 1.0 * (int) i / ((double) (long) n - 1.0);
-        M[i][j] = rot2[i][j] * pow(sqrt(conditioning), exponent);
-      }
-    }
-    bbob2009_copy_rotation_matrix(rot1,M1,b1,n);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-    Coco_Transformation_Data::M1 = M1;
-    Coco_Transformation_Data::b1 = b1;
-    Coco_Transformation_Data::penalty_factor = 10.0;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i = 0;
-    std::vector<double> result(1);
-
-    /* Computation core */
-    result[0] = 0.0;
-    for (i = 0; i < n - 1; ++i) {
-      const double tmp = x[i] * x[i] + x[i + 1] * x[i + 1];
-      if (std::isinf(tmp) && std::isnan(sin(50.0 * pow(tmp, 0.1))))  /* sin(inf) -> nan */
-        /* the second condition is necessary to pass the integration tests under Windows and Linux */
-        return tmp;
-      result[0] += pow(tmp, 0.25) * (1.0 + pow(sin(50.0 * pow(tmp, 0.1)), 2.0));
-    }
-    result[0] = pow(result[0] / ((double) (long) n - 1.0), 2.0);
-
-    return result[0];
-  }
-
-  static Schaffers10 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Schaffers10(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_schaffers1000.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_schaffers1000.hpp.html deleted file mode 100644 index 728a0c4f8..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_schaffers1000.hpp.html +++ /dev/null @@ -1,303 +0,0 @@ - - - - - - - - - - Program Listing for File f_schaffers1000.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_schaffers1000.hpp

-

Return to documentation for file (src/Problems/BBOB/f_schaffers1000.hpp)

-
#ifndef _F_SCHAFFERSTHOUSAND_HPP
-#define _F_SCHAFFERSTHOUSAND_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Schaffers1000 : public IOHprofiler_problem<double> {
-public:
-  Schaffers1000(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(18);
-    IOHprofiler_set_problem_name("Schaffers1000");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Schaffers1000() {}
-
-  const double conditioning = 1000;
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<std::vector<double> > M1;
-    std::vector<double> b;
-    std::vector<double> b1;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (17 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(18, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    M1 = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-      M1[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    b1 = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    std::vector<std::vector<double> > rot2;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-    for (int i = 0; i < n; ++i) {
-      b[i] = 0.0;
-      for (int j = 0; j < n; ++j) {
-        double exponent = 1.0 * (int) i / ((double) (long) n - 1.0);
-        M[i][j] = rot2[i][j] * pow(sqrt(conditioning), exponent);
-      }
-    }
-    bbob2009_copy_rotation_matrix(rot1,M1,b1,n);
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-    Coco_Transformation_Data::M1 = M1;
-    Coco_Transformation_Data::b1 = b1;
-    Coco_Transformation_Data::penalty_factor = 10.0;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i = 0;
-    std::vector<double> result(1);
-
-    /* Computation core */
-    result[0] = 0.0;
-    for (i = 0; i < n - 1; ++i) {
-      const double tmp = x[i] * x[i] + x[i + 1] * x[i + 1];
-      if (std::isinf(tmp) && std::isnan(sin(50.0 * pow(tmp, 0.1))))  /* sin(inf) -> nan */
-        /* the second condition is necessary to pass the integration tests under Windows and Linux */
-        return tmp;
-      result[0] += pow(tmp, 0.25) * (1.0 + pow(sin(50.0 * pow(tmp, 0.1)), 2.0));
-    }
-    result[0] = pow(result[0] / ((double) (long) n - 1.0), 2.0);
-
-    return result[0];
-  }
-
-  static Schaffers1000 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Schaffers1000(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_schwefel.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_schwefel.hpp.html deleted file mode 100644 index 8822ed510..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_schwefel.hpp.html +++ /dev/null @@ -1,290 +0,0 @@ - - - - - - - - - - Program Listing for File f_schwefel.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File f_schwefel.hpp

-

Return to documentation for file (src/Problems/BBOB/f_schwefel.hpp)

-
#ifndef _F_SCHWEFEL_HPP
-#define _F_SCHWEFEL_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Schwefel : public IOHprofiler_problem<double> {
-public:
-  Schwefel(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(20);
-    IOHprofiler_set_problem_name("Schwefel");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(420.96874633);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Schwefel() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt,tmp1,tmp2;
-    double fopt;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (20 + 10000 * this->IOHprofiler_get_instance_id());
-    fopt = bbob2009_compute_fopt(20, this->IOHprofiler_get_instance_id());
-    xopt = std::vector<double>(n);
-    tmp2 = std::vector<double>(n);
-    bbob2009_unif(tmp1, n, rseed);
-    for (int i = 0; i < n; ++i) {
-      xopt[i] = (tmp1[i] < 0.5 ? -1 : 1) * 0.5 * 4.2096874637;
-    }
-    for (int i = 0; i < n; ++i) {
-      tmp1[i] = -2 * fabs(xopt[i]);
-      tmp2[i] = 2 * fabs(xopt[i]);
-    }
-
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::tmp1 = tmp1;
-    Coco_Transformation_Data::tmp2 = tmp2;
-    Coco_Transformation_Data::condition = 10.0;
-    Coco_Transformation_Data::rseed = rseed;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i = 0;
-    std::vector<double> result(1);
-    double penalty, sum;
-
-
-    /* Boundary handling*/
-    penalty = 0.0;
-    for (i = 0; i < n; ++i) {
-      const double tmp = fabs(x[i]) - 500.0;
-      if (tmp > 0.0) {
-        penalty += tmp * tmp;
-      }
-    }
-
-    /* Computation core */
-    sum = 0.0;
-    for (i = 0; i < n; ++i) {
-      sum += x[i] * sin(sqrt(fabs(x[i])));
-    }
-    result[0] = 0.01 * (penalty + 418.9828872724339 - sum / (double) n);
-
-    return result[0];
-  }
-
-  static Schwefel * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Schwefel(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_sharp_ridge.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_sharp_ridge.hpp.html deleted file mode 100644 index 53d5c633a..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_sharp_ridge.hpp.html +++ /dev/null @@ -1,295 +0,0 @@ - - - - - - - - - - Program Listing for File f_sharp_ridge.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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  • Program Listing for File f_sharp_ridge.hpp
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-
-
- -
-

Program Listing for File f_sharp_ridge.hpp

-

Return to documentation for file (src/Problems/BBOB/f_sharp_ridge.hpp)

-
#ifndef _F_SHARP_RIDGE_HPP
-#define _F_SHARP_RIDGE_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Sharp_Ridge : public IOHprofiler_problem<double> {
-public:
-  Sharp_Ridge(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(13);
-    IOHprofiler_set_problem_name("Sharp_Ridge");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Sharp_Ridge() {}
-
-  void prepare_problem() {
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (13 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(13, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    std::vector<std::vector<double> > rot2;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-    for (int i = 0; i < n; ++i) {
-      b[i] = 0.0;
-      for (int j = 0; j < n; ++j) {
-        M[i][j] = 0.0;
-        for (int k = 0; k < n; ++k) {
-          double exponent = 1.0 * (int) k / ((double) (long) n - 1.0);
-          M[i][j] += rot1[i][k] * pow(sqrt(10.0), exponent) * rot2[k][j];
-        }
-      }
-    }
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    static const double alpha = 100.0;
-    const double vars_40 = 1; /* generalized: number_of_variables <= 40 ? 1 : number_of_variables / 40.0; */
-    size_t i = 0;
-    std::vector<double> result(1);
-
-
-    result[0] = 0.0;
-    for (i = (size_t)(ceil(vars_40)); i < n; ++i) {
-      result[0] += x[i] * x[i];
-    }
-    result[0] = alpha * sqrt(result[0] / vars_40);
-    for (i = 0; i < (size_t)ceil(vars_40); ++i) {
-      result[0] += x[i] * x[i] / vars_40;
-    }
-
-    return result[0];
-  }
-
-  static Sharp_Ridge * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Sharp_Ridge(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_sphere.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_sphere.hpp.html deleted file mode 100644 index f8fb5300d..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_sphere.hpp.html +++ /dev/null @@ -1,263 +0,0 @@ - - - - - - - - - - Program Listing for File f_sphere.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File f_sphere.hpp

-

Return to documentation for file (src/Problems/BBOB/f_sphere.hpp)

-
#ifndef _F_SPHERE_HPP_
-#define _F_SPHERE_HPP_
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Sphere : public IOHprofiler_problem<double> {
-public:
-  Sphere(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(1);
-    IOHprofiler_set_problem_name("Sphere");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Sphere() {}
-
-  void prepare_problem() {
-    /* compute xopt, fopt*/
-    std::vector<double> xopt;
-    double fopt;
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (1 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(1, this->IOHprofiler_get_instance_id());
-
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i = 0;
-    std::vector<double> result(1);
-
-    result[0] = 0.0;
-    for (i = 0; i < n; ++i) {
-      result[0] += x[i] * x[i];
-    }
-
-    return result[0];
-  }
-
-  static Sphere * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Sphere(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
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-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_step_ellipsoid.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_step_ellipsoid.hpp.html deleted file mode 100644 index ed6a58fc8..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_step_ellipsoid.hpp.html +++ /dev/null @@ -1,313 +0,0 @@ - - - - - - - - - - Program Listing for File f_step_ellipsoid.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_step_ellipsoid.hpp

-

Return to documentation for file (src/Problems/BBOB/f_step_ellipsoid.hpp)

-
#ifndef _F_STEP_ELLIPSOID_HPP
-#define _F_STEP_ELLIPSOID_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-class Step_Ellipsoid : public IOHprofiler_problem<double> {
-public:
-  Step_Ellipsoid(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(7);
-    IOHprofiler_set_problem_name("Step_Ellipsoid");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(0);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Step_Ellipsoid() {}
-
-  std::vector<double> xopt;
-  double fopt;
-  std::vector<std::vector<double> > rot1;
-  std::vector<std::vector<double> > rot2;
-  std::vector<double> datax,dataxx;
-
-  void prepare_problem() {
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (7 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(7, this->IOHprofiler_get_instance_id());
-
-
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-
-    datax = std::vector<double>(n);
-    dataxx = std::vector<double>(n);
-
-    IOHprofiler_set_best_variables(xopt);
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    static const double condition = 100;
-    static const double alpha = 10.0;
-    size_t i, j;
-    double penalty = 0.0, x1;
-    std::vector<double> result(1);
-
-    for (i = 0; i < n; ++i) {
-      double tmp;
-      tmp = fabs(x[i]) - 5.0;
-      if (tmp > 0.0)
-        penalty += tmp * tmp;
-    }
-
-    for (i = 0; i < n; ++i) {
-      double c1;
-      datax[i] = 0.0;
-      c1 = sqrt(pow(condition / 10., (double) i / (double) (n - 1)));
-      for (j = 0; j < n; ++j) {
-        datax[i] += c1 * rot2[i][j] * (x[j] - xopt[j]);
-      }
-    }
-    x1 = datax[0];
-
-    for (i = 0; i < n; ++i) {
-      if (fabs(datax[i]) > 0.5) /* TODO: Documentation: no fabs() in documentation */
-        datax[i] = (double)floor(datax[i] + 0.5);
-      else
-        datax[i] = (double)floor(alpha * datax[i] + 0.5) / alpha;
-    }
-
-    for (i = 0; i < n; ++i) {
-      dataxx[i] = 0.0;
-      for (j = 0; j < n; ++j) {
-        dataxx[i] += rot1[i][j] * datax[j];
-      }
-    }
-
-    /* Computation core */
-    result[0] = 0.0;
-    for (i = 0; i < n; ++i) {
-      double exponent;
-      exponent = (double) (long) i / ((double) (long) n - 1.0);
-      result[0] += pow(condition, exponent) * dataxx[i] * dataxx[i];
-      ;
-    }
-    result[0] = 0.1 * ((fabs(x1) * 1.0e-4) > result[0] ? (fabs(x1) * 1.0e-4) : result[0]) + penalty + fopt;
-
-    return result[0];
-  }
-
-  static Step_Ellipsoid * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Step_Ellipsoid(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_weierstrass.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_weierstrass.hpp.html deleted file mode 100644 index f7c74f5cb..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_BBOB_f_weierstrass.hpp.html +++ /dev/null @@ -1,317 +0,0 @@ - - - - - - - - - - Program Listing for File f_weierstrass.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_weierstrass.hpp

-

Return to documentation for file (src/Problems/BBOB/f_weierstrass.hpp)

-
#ifndef _F_WEIERSTRASS_HPP
-#define _F_WEIERSTRASS_HPP
-
-#include "IOHprofiler_problem.h"
-#include "coco_transformation.hpp"
-
-#define F_WEIERSTRASS_SUMMANDS 12
-
-class Weierstrass : public IOHprofiler_problem<double> {
-public:
-  Weierstrass(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_id(16);
-    IOHprofiler_set_problem_name("Weierstrass");
-    IOHprofiler_set_problem_type("bbob");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(-5.0);
-    IOHprofiler_set_upperbound(5.0);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_as_minimization();
-  }
-
-  ~Weierstrass() {}
-
-  const double condition = 100.0;
-  double f0;
-  double ak[F_WEIERSTRASS_SUMMANDS];
-  double bk[F_WEIERSTRASS_SUMMANDS];
-
-  void prepare_problem() {
-
-    std::vector<double> xopt;
-    double fopt;
-    std::vector<std::vector<double> > M;
-    std::vector<double> b;
-    std::vector<std::vector<double> > M1;
-    std::vector<double> b1;
-    /* compute xopt, fopt*/
-
-    int n = this->IOHprofiler_get_number_of_variables();
-    const long rseed = (long) (16 + 10000 * this->IOHprofiler_get_instance_id());
-    bbob2009_compute_xopt(xopt, rseed, n);
-    fopt = bbob2009_compute_fopt(16, this->IOHprofiler_get_instance_id());
-
-    /* compute M and b */
-    M = std::vector<std::vector<double> > (n);
-    M1 = std::vector<std::vector<double> > (n);
-    for (int i = 0; i != n; i++) {
-      M[i] = std::vector<double> (n);
-      M1[i] = std::vector<double> (n);
-    }
-    b = std::vector<double> (n);
-    b1 = std::vector<double> (n);
-    std::vector<std::vector<double> > rot1;
-    std::vector<std::vector<double> > rot2;
-    bbob2009_compute_rotation(rot1, rseed + 1000000, n);
-    bbob2009_compute_rotation(rot2, rseed, n);
-    for (int i = 0; i < n; ++i) {
-      b[i] = 0.0;
-      for (int j = 0; j < n; ++j) {
-        M[i][j] = 0.0;
-        for (int k = 0; k < n; ++k) {
-          const double base = 1.0 / sqrt(condition);
-          const double exponent = 1.0 * (int) k / ((double) (long) n - 1.0);
-          M[i][j] += rot1[i][k] * pow(base, exponent) * rot2[k][j];
-        }
-      }
-    }
-    bbob2009_copy_rotation_matrix(rot1, M1, b1, n);
-
-    f0 = 0.0;
-    for (int i = 0; i < F_WEIERSTRASS_SUMMANDS; ++i) {
-      ak[i] = pow(0.5, (double) i);
-      bk[i] = pow(3., (double) i);
-      f0 += ak[i] * cos(2 * coco_pi * bk[i] * 0.5);
-    }
-    Coco_Transformation_Data::fopt = fopt;
-    Coco_Transformation_Data::xopt = xopt;
-    Coco_Transformation_Data::M = M;
-    Coco_Transformation_Data::b = b;
-    Coco_Transformation_Data::M1 = M1;
-    Coco_Transformation_Data::b1 = b1;
-    Coco_Transformation_Data::penalty_factor = 10.0 / (double) n;
-  }
-
-  double internal_evaluate(const std::vector<double> &x) {
-    int n = x.size();
-    size_t i, j;
-
-    std::vector<double> result(1);
-
-    result[0] = 0.0;
-    for (i = 0; i < n; ++i) {
-      for (j = 0; j < F_WEIERSTRASS_SUMMANDS; ++j) {
-        result[0] += cos(2 * coco_pi * (x[i] + 0.5) * bk[j]) * ak[j];
-      }
-    }
-    result[0] = 10.0 * pow(result[0] / (double) (long) n - f0, 3.0);
-
-    return result[0];
-  }
-
-  static Weierstrass * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Weierstrass(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_IOHprofiler_all_problems.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_IOHprofiler_all_problems.hpp.html deleted file mode 100644 index 15cf0ebe8..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_IOHprofiler_all_problems.hpp.html +++ /dev/null @@ -1,264 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_all_problems.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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  • Program Listing for File IOHprofiler_all_problems.hpp
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-
-
-
- -
-

Program Listing for File IOHprofiler_all_problems.hpp

-

Return to documentation for file (src/Problems/IOHprofiler_all_problems.hpp)

-
#ifndef _IOHPROFILER_ALL_PROBLEMS_HPP
-#define _IOHPROFILER_ALL_PROBLEMS_HPP
-
-#include "f_one_max.hpp"
-#include "f_leading_ones.hpp"
-#include "f_linear.hpp"
-#include "f_one_max_dummy1.hpp"
-#include "f_one_max_dummy2.hpp"
-#include "f_one_max_neutrality.hpp"
-#include "f_one_max_epistasis.hpp"
-#include "f_one_max_ruggedness1.hpp"
-#include "f_one_max_ruggedness2.hpp"
-#include "f_one_max_ruggedness3.hpp"
-#include "f_leading_ones_dummy1.hpp"
-#include "f_leading_ones_dummy2.hpp"
-#include "f_leading_ones_neutrality.hpp"
-#include "f_leading_ones_epistasis.hpp"
-#include "f_leading_ones_ruggedness1.hpp"
-#include "f_leading_ones_ruggedness2.hpp"
-#include "f_leading_ones_ruggedness3.hpp"
-#include "f_labs.hpp"
-#include "f_ising_1D.hpp"
-#include "f_ising_2D.hpp"
-#include "f_ising_triangle.hpp"
-#include "f_MIS.hpp"
-#include "f_N_queens.hpp"
-
-#include "IOHprofiler_class_generator.h"
-
-static registerInFactory<IOHprofiler_problem<int>,OneMax> regOneMax("OneMax");
-static registerInFactory<IOHprofiler_problem<int>,OneMax_Dummy1> regOneMax_Dummy1("OneMax_Dummy1");
-static registerInFactory<IOHprofiler_problem<int>,OneMax_Dummy2> regOneMax_Dummy2("OneMax_Dummy2");
-static registerInFactory<IOHprofiler_problem<int>,OneMax_Epistasis> regOneMax_Epistasis("OneMax_Epistasis");
-static registerInFactory<IOHprofiler_problem<int>,OneMax_Neutrality> regOneMax_Neutrality("OneMax_Neutrality");
-static registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness1> regOneMax_Ruggedness1("OneMax_Ruggedness1");
-static registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness2> regOneMax_Ruggedness2("OneMax_Ruggedness2");
-static registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness3> regOneMax_Ruggedness3("OneMax_Ruggedness3");
-
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes> regLeadingOnes("LeadingOnes");
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Dummy1> regLeadingOnes_Dummy1("LeadingOnes_Dummy1");
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Dummy2> regLeadingOnes_Dummy2("LeadingOnes_Dummy2");
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Epistasis> regLeadingOnes_Epistasis("LeadingOnes_Epistasis");
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Neutrality> regLeadingOnes_Neutrality("LeadingOnes_Neutrality");
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness1> regLeadingOnes_Ruggedness1("LeadingOnes_Ruggedness1");
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness2> regLeadingOnes_Ruggedness2("LeadingOnes_Ruggedness2");
-static registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness3> regLeadingOnes_Ruggedness3("LeadingOnes_Ruggedness3");
-
-static registerInFactory<IOHprofiler_problem<int>,Linear> regLinear("Linear");
-static registerInFactory<IOHprofiler_problem<int>,MIS> regMIS("MIS");
-static registerInFactory<IOHprofiler_problem<int>,LABS> regLABS("LABS");
-static registerInFactory<IOHprofiler_problem<int>,NQueens> regNQueens("NQueens");
-static registerInFactory<IOHprofiler_problem<int>,Ising_1D> regIsing_1D("Ising_1D");
-static registerInFactory<IOHprofiler_problem<int>,Ising_2D> regIsing_2D("Ising_2D");
-static registerInFactory<IOHprofiler_problem<int>,Ising_Triangle> regIsing_Triangle("Ising_Triangle");
-
-#endif //_IOHPROFILER_ALL_PROBLEMS_HPP
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_MIS.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_MIS.hpp.html deleted file mode 100644 index 5027434ab..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_MIS.hpp.html +++ /dev/null @@ -1,277 +0,0 @@ - - - - - - - - - - Program Listing for File f_MIS.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - -
-
-
-
- -
-

Program Listing for File f_MIS.hpp

-

Return to documentation for file (src/Problems/PBO/f_MIS.hpp)

-
#ifndef _F_MIS_H
-#define _F_MIS_H
-
-#include "IOHprofiler_problem.h"
-
-class MIS : public IOHprofiler_problem<int> {
-public:
-  MIS(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("MIS");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~MIS() {}
-
-  int isEdge (int i, int j, size_t problem_size) {
-    if (i!=problem_size/2 && j==i+1) {
-      return 1;
-    } else if (i<=((int)problem_size/2)-1 && j==i+((int)problem_size/2)+1 ) {
-      return 1;
-    } else if (i<=((int)problem_size/2) && i>=2 && j==i+((int)problem_size/2)-1) {
-      return 1;
-    } else {
-      return 0;
-    }
-  }
-
-
-double internal_evaluate(const std::vector<int> &x) {
-    int i, j,index;
-    int n = x.size();
-    int result= 0;
-    int num_of_ones=0;
-    int sum_edges_in_the_set=0;
-    int number_of_variables_even=(int)n;
-    std::vector<int> ones_array(number_of_variables_even+1);
-
-    if (n%2!=0) {
-        number_of_variables_even=(int)n-1;
-    }
-
-    for (index=0; index<number_of_variables_even; index++) {
-      if (x[index]==1) {
-        ones_array[num_of_ones] = index;
-        num_of_ones+=1;
-      }
-    }
-
-    for (i=0; i<num_of_ones; i++) {
-      for (j=i+1; j<num_of_ones; j++) {
-        if (isEdge(ones_array[i]+1,ones_array[j]+1,(size_t)number_of_variables_even)==1) {
-          sum_edges_in_the_set+=1;
-        }
-      }
-    }
-    result=num_of_ones - (number_of_variables_even*sum_edges_in_the_set);
-    return (double)result;
-  }
-
-  static MIS * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new MIS(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_N_queens.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_N_queens.hpp.html deleted file mode 100644 index f65cd8d0d..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_N_queens.hpp.html +++ /dev/null @@ -1,313 +0,0 @@ - - - - - - - - - - Program Listing for File f_N_queens.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
-
- -
-

Program Listing for File f_N_queens.hpp

-

Return to documentation for file (src/Problems/PBO/f_N_queens.hpp)

-
#ifndef _F_NQUEENS_H
-#define _F_NQUEENS_H
-
-#include "IOHprofiler_problem.h"
-
-class NQueens : public IOHprofiler_problem<int> {
-public:
-  NQueens(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("NQueens");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~NQueens() {}
-
-  void customize_optimal() {
-    IOHprofiler_set_optimal(sqrt( (double) IOHprofiler_get_number_of_variables() ) );
-  }
-
-  double _max(double element1 , double element2) {
-    if (element1>element2) {
-      return element1;
-    } else {
-      return element2;
-    }
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    double result;
-    int n = x.size();
-    int index,j,i,k,l;
-    int N_queens=(int)(sqrt((double)n)+0.5);
-    int number_of_queens_on_board = 0;
-    double k_penalty=0.0;
-    double l_penalty =0.0;
-    double raws_penalty=0.0;
-    double columns_penalty=0.0;
-    int indx=0;
-    float C = (float)N_queens;
-
-    if (floor(sqrt((double)n))!=sqrt((double)n)) {
-      IOH_error("Number of parameters in the N Queen problem must be a square number");
-    }
-
-    for (index=0; index<n; index++) {
-        if (x[index]==1){
-          number_of_queens_on_board+=1;
-        }
-    }
-
-    for (j=1; j <=N_queens; j++) {
-        double sum_column = 0.0;
-        for (i=1; i<=N_queens; i++) {
-            indx=((i-1)*N_queens) + ((j-1)%N_queens);
-            sum_column+=(double)x[indx];
-        }
-        columns_penalty+=_max(0.0, (-1.0+sum_column));
-    }
-
-    for (i=1; i<=N_queens; i++) {
-        double sum_raw = 0.0;
-        /*double sum_k = 0.0;
-        double sum_l = 0.0;*/
-        for (j=1; j <=N_queens; j++) {
-            indx=((i-1)*N_queens) + ((j-1)%N_queens);
-            sum_raw+=(double)x[indx];
-        }
-        raws_penalty+=_max(0.0, (-1.0+sum_raw));
-    }
-
-    for (k=2-N_queens; k<=N_queens-2; k++) {
-        double sum_k=0.0;
-        for (i=1; i<=N_queens; i++) {
-            if (k+i>=1 && k+i<=N_queens) {
-                indx=((i-1)*N_queens) + ((k+i-1)%N_queens);
-                sum_k += (double)x[indx];
-            }
-        }
-        k_penalty+=_max(0.0, (-1.0+sum_k));
-    }
-    for (l=3; l<=2*N_queens-1; l++)  {
-        double sum_l=0.0;
-        for (i=1; i<=N_queens; i++) {
-            if (l-i>=1 && l-i<=N_queens) {
-                indx=((i-1)*N_queens) + ((l-i-1)%N_queens);
-                sum_l += (double)x[indx];
-            }
-        }
-        l_penalty+=_max(0.0, (-1.0+sum_l));
-    }
-    result = (double) (number_of_queens_on_board - (C*raws_penalty) - (C*columns_penalty) -(C*k_penalty) - (C*l_penalty));
-    return (double)result;
-  }
-
-  static NQueens * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new NQueens(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_concatenated_trap.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_concatenated_trap.hpp.html deleted file mode 100644 index 79b1a13c8..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_concatenated_trap.hpp.html +++ /dev/null @@ -1,271 +0,0 @@ - - - - - - - - - - Program Listing for File f_concatenated_trap.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
-
- -
-

Program Listing for File f_concatenated_trap.hpp

-

Return to documentation for file (src/Problems/PBO/f_concatenated_trap.hpp)

-
#ifndef _F_CONCATENATED_TRAP_H
-#define _F_CONCATENATED_TRAP_H
-
-#include "IOHprofiler_problem.h"
-
-class Concatenated_Trap : public IOHprofiler_problem<int> {
-public:
-
-  Concatenated_Trap(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("Concatenated_Trap");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_optimal((double)dimension);
-  }
-
-  ~Concatenated_Trap() {};
-
-  int k = 5;
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = x.size();
-    double result = 0.0;
-    double block_result;
-
-    int m = n / k;
-    for (int i = 1; i <= m; ++i) {
-      block_result = 0.0;
-      for (int j = i*k - k; j != i*k; ++j) {
-        block_result += x[j];
-      }
-      if (block_result == k) {
-        result += 1;
-      } else {
-        result += ((double)(k - 1 - block_result) / (double) k );
-      }
-    }
-    int remain_k = n - m * k;
-    if (remain_k != 0 ) {
-      block_result = 0.0;
-      for (int j = m * k - 1; j != n; ++j) {
-        block_result += x[j];
-      }
-      if (block_result == remain_k) {
-        result += 1;
-      } else {
-        result += ((double)(remain_k - 1 - block_result) / (double) remain_k );
-      }
-    }
-
-    return result;
-  }
-
-  static Concatenated_Trap * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Concatenated_Trap(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_ring.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_ring.hpp.html deleted file mode 100644 index 5f808e91c..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_ring.hpp.html +++ /dev/null @@ -1,249 +0,0 @@ - - - - - - - - - - Program Listing for File f_ising_ring.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
-
- -
-

Program Listing for File f_ising_ring.hpp

-

Return to documentation for file (src/Problems/PBO/f_ising_ring.hpp)

-
#ifndef _F_ISING_RING_H
-#define _F_ISING_RING_H
-
-#include "IOHprofiler_problem.h"
-
-class Ising_Ring : public IOHprofiler_problem<int> {
-public:
-  Ising_Ring(int instance_id, int dimension) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("Ising_Ring");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~Ising_Ring() {}
-
-  int modulo_ising_ring(int x,int N) {
-    return (x % N + N) %N;
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int result = 0, n = x.size();
-
-    int neig;
-    for (int i = 0; i < n; ++i) {
-      neig = x[modulo_ising_ring((i - 1) , n)];
-      result += (x[i] * neig) - ((1 - x[i]) * (1 - neig));
-    }
-    return (double)result;
-  }
-
-  static Ising_Ring * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Ising_Ring(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_torus.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_torus.hpp.html deleted file mode 100644 index a0589c4e7..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_torus.hpp.html +++ /dev/null @@ -1,262 +0,0 @@ - - - - - - - - - - Program Listing for File f_ising_torus.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
-
- -
-

Program Listing for File f_ising_torus.hpp

-

Return to documentation for file (src/Problems/PBO/f_ising_torus.hpp)

-
#ifndef _F_ISING_TWOD_H
-#define _F_ISING_TWOD_H
-
-#include "IOHprofiler_problem.h"
-
-class Ising_Torus : public IOHprofiler_problem<int> {
-public:
-  Ising_Torus(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("Ising_Torus");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~Ising_Torus() {}
-
-  int modulo_ising_torus(int x,int N) {
-    return (x % N + N) %N;
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = x.size();
-    int i, j, neig;
-    int result= 0;
-    int neighbors[2];
-    int lattice_size = (int)sqrt((double)n);
-
-    if(floor(sqrt((double)n))!=sqrt((double)n)) {
-      IOH_error("Number of parameters in the Ising square problem must be a square number");
-    }
-
-    for(i = 0; i < lattice_size; ++i) {
-      for (j = 0; j < lattice_size; ++j) {
-        neighbors[0]  = x[modulo_ising_torus(i + 1, lattice_size) * lattice_size + j];
-        neighbors[1]  = x[i * lattice_size + modulo_ising_torus((j + 1) , lattice_size)];
-        for (neig = 0; neig < 2; neig++) {
-          result += (x[i*lattice_size + j] * neighbors[neig]) - ((1 - x[i * lattice_size + j]) * (1 - neighbors[neig]));
-        }
-      }
-    }
-
-    return (double)result;
-  }
-
-  static Ising_Torus * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION)  {
-    return new Ising_Torus(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_triangular.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_triangular.hpp.html deleted file mode 100644 index 1858acc6d..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_ising_triangular.hpp.html +++ /dev/null @@ -1,261 +0,0 @@ - - - - - - - - - - Program Listing for File f_ising_triangular.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
- -
-

Program Listing for File f_ising_triangular.hpp

-

Return to documentation for file (src/Problems/PBO/f_ising_triangular.hpp)

-
#ifndef _F_ISING_TRIANGULAR_H
-#define _F_ISING_TRIANGULAR_H
-
-#include "IOHprofiler_problem.h"
-
-class Ising_Triangular : public IOHprofiler_problem<int> {
-public:
-
-  Ising_Triangular(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("Ising_Triangular");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~Ising_Triangular() {}
-
-  int modulo_ising_triangular(int x,int N) {
-    return (x % N + N) % N;
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int i, j, neig;
-    int n = x.size();
-    int result = 0;
-    int neighbors[3];
-    int lattice_size = (int)sqrt((double)n);
-
-    for (i = 0; i < lattice_size; ++i) {
-      for (j = 0; j < lattice_size; ++j) {
-        neighbors[0] = x[modulo_ising_triangular((i + 1), lattice_size) * lattice_size + j];
-        neighbors[1] = x[i * lattice_size + modulo_ising_triangular((j + 1), lattice_size)];
-        neighbors[2] = x[modulo_ising_triangular((i + 1) , lattice_size) * lattice_size + modulo_ising_triangular((j + 1), lattice_size)];
-
-        for (neig=0; neig < 3; neig++) {
-          result += (x[i * lattice_size + j] * neighbors[neig]) - ((1 - x[i * lattice_size + j]) * (1 - neighbors[neig]));
-        }
-      }
-    }
-    return (double)result;
-  }
-
-  static Ising_Triangular * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Ising_Triangular(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_labs.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_labs.hpp.html deleted file mode 100644 index 6ff04452f..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_labs.hpp.html +++ /dev/null @@ -1,266 +0,0 @@ - - - - - - - - - - Program Listing for File f_labs.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - -
-
-
-
- -
-

Program Listing for File f_labs.hpp

-

Return to documentation for file (src/Problems/PBO/f_labs.hpp)

-
#ifndef _F_LABS_H
-#define _F_LABS_H
-
-#include "IOHprofiler_problem.h"
-
-class LABS : public IOHprofiler_problem<int> {
-public:
-  LABS(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LABS");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LABS() {}
-
-  double correlation(const std::vector<int> x, const int n, int k)
-  {
-    int x1,x2;
-    double result;
-    result = 0.0;
-    for (int i = 0 ; i < n - k; ++i) {
-        if (x[i] == 0) {
-          x1 = -1;
-        } else {
-          x1 = 1;
-        }
-        if (x[i + k] == 0) {
-          x2 = -1;
-        } else {
-          x2 = 1;
-        }
-        result += x1 * x2;
-    }
-    return result;
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    double result = 0.0, cor;
-    for (int k = 1; k != n; ++k) {
-      cor = correlation(x,n,k);
-      result += cor * cor;
-    }
-    result = (double)(n*n)/2.0/result;
-    return (double)result;
-  }
-
-  static LABS * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LABS(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones.hpp.html deleted file mode 100644 index c43118317..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones.hpp.html +++ /dev/null @@ -1,247 +0,0 @@ - - - - - - - - - - Program Listing for File f_leading_ones.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
- -
-

Program Listing for File f_leading_ones.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones.hpp)

-
#ifndef _F_LEADING_ONES_H
-#define _F_LEADING_ONES_H
-
-
-#include "IOHprofiler_problem.h"
-
-class LeadingOnes : public IOHprofiler_problem<int> {
-public:
-  LeadingOnes(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LeadingOnes() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if(x[i] == 1)
-        result = i + 1;
-      else
-        break;
-    }
-    return (double)result;
-  }
-
-  static LeadingOnes * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
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- - -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_dummy1.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_dummy1.hpp.html deleted file mode 100644 index 1a15f9225..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_dummy1.hpp.html +++ /dev/null @@ -1,254 +0,0 @@ - - - - - - - - - - Program Listing for File f_leading_ones_dummy1.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_leading_ones_dummy1.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones_dummy1.hpp)

-
#ifndef _F_LEADING_ONES_DUMMYONE_H
-#define _F_LEADING_ONES_DUMMYONE_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class LeadingOnes_Dummy1 : public IOHprofiler_problem<int> {
-public:
-  LeadingOnes_Dummy1(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes_Dummy1");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LeadingOnes_Dummy1() {}
-
-  std::vector<int> info;
-  void prepare_problem() {
-    info = dummy(IOHprofiler_get_number_of_variables(),0.5,10000);
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = this->info.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if (x[this->info[i]] == 1) {
-        result = i + 1;
-      } else {
-        break;
-      }
-    }
-    return (double)result;
-  }
-
-  static LeadingOnes_Dummy1 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes_Dummy1(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
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-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_dummy2.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_dummy2.hpp.html deleted file mode 100644 index 32e741dbf..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_dummy2.hpp.html +++ /dev/null @@ -1,254 +0,0 @@ - - - - - - - - - - Program Listing for File f_leading_ones_dummy2.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File f_leading_ones_dummy2.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones_dummy2.hpp)

-
#ifndef _F_LEADING_ONES_DUMMYTWO_H
-#define _F_LEADING_ONES_DUMMYTWO_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class LeadingOnes_Dummy2 : public IOHprofiler_problem<int> {
-public:
-  LeadingOnes_Dummy2(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes_Dummy2");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-    IOHprofiler_set_optimal(floor((double)(dimension * 0.9)));
-  }
-
-  ~LeadingOnes_Dummy2() {}
-
-  std::vector<int> info;
-  void prepare_problem() {
-    info = dummy(IOHprofiler_get_number_of_variables(),0.9,10000);
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = this->info.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if (x[this->info[i]] == 1) {
-        result = i + 1;
-      } else {
-        break;
-      }
-    }
-    return (double)result;
-  }
-
-  static LeadingOnes_Dummy2 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes_Dummy2(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_epistasis.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_epistasis.hpp.html deleted file mode 100644 index 16d7b57a5..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_epistasis.hpp.html +++ /dev/null @@ -1,253 +0,0 @@ - - - - - - - - - - Program Listing for File f_leading_ones_epistasis.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_leading_ones_epistasis.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones_epistasis.hpp)

-
#ifndef _F_LEADING_ONES_EPISTASIS_H
-#define _F_LEADING_ONES_EPISTASIS_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class LeadingOnes_Epistasis : public IOHprofiler_problem<int> {
-public:
-  LeadingOnes_Epistasis(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes_Epistasis");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LeadingOnes_Epistasis() {}
-
-  void customize_optimal() {
-    IOHprofiler_set_optimal(IOHprofiler_get_number_of_variables());
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    std::vector<int> new_variables = epistasis(x,4);
-    int n = new_variables.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if(new_variables[i] == 1) {
-        result = i + 1;
-      } else {
-        break;
-      }
-    }
-    return (double)result;
-  }
-
-  static LeadingOnes_Epistasis * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes_Epistasis(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_neutrality.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_neutrality.hpp.html deleted file mode 100644 index eff9972f8..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_neutrality.hpp.html +++ /dev/null @@ -1,250 +0,0 @@ - - - - - - - - - - Program Listing for File f_leading_ones_neutrality.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_leading_ones_neutrality.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones_neutrality.hpp)

-
#ifndef _F_LEADING_ONES_NEUTRALITY_H
-#define _F_LEADING_ONES_NEUTRALITY_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class LeadingOnes_Neutrality : public IOHprofiler_problem<int> {
-public:
-  LeadingOnes_Neutrality(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes_Neutrality");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LeadingOnes_Neutrality() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-    std::vector<int> new_variables = neutrality(x,3);
-    int n = new_variables.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if (new_variables[i] == 1) {
-        result = i + 1;
-      } else {
-        break;
-      }
-    }
-    return (double)result;
-  }
-
-  static LeadingOnes_Neutrality * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes_Neutrality(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_ruggedness1.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_ruggedness1.hpp.html deleted file mode 100644 index d75655df6..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_leading_ones_ruggedness1.hpp.html +++ /dev/null @@ -1,252 +0,0 @@ - - - - - - - - - - Program Listing for File f_leading_ones_ruggedness1.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_leading_ones_ruggedness1.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones_ruggedness1.hpp)

-
#ifndef _F_LEADING_ONES_RUGGEDNESSONE_H
-#define _F_LEADING_ONES_RUGGEDNESSONE_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class LeadingOnes_Ruggedness1 : public IOHprofiler_problem<int> {
-public:
-
-  LeadingOnes_Ruggedness1(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes_Ruggedness1");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LeadingOnes_Ruggedness1() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if (x[i] == 1) {
-        result = i + 1;
-      } else {
-        break;
-      }
-    }
-    result = ruggedness1(result,n);
-    return (double)result;
-  }
-
-  static LeadingOnes_Ruggedness1 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes_Ruggedness1(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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Program Listing for File f_leading_ones_ruggedness2.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones_ruggedness2.hpp)

-
#ifndef _F_LEADING_ONES_RUGGEDNESSTWO_H
-#define _F_LEADING_ONES_RUGGEDNESSTWO_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class LeadingOnes_Ruggedness2 : public IOHprofiler_problem<int> {
-public:
-  LeadingOnes_Ruggedness2(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes_Ruggedness2");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LeadingOnes_Ruggedness2() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if(x[i] == 1) {
-        result = i + 1;
-      } else {
-        break;
-      }
-    }
-    result = ruggedness2(result,n);
-    return (double)result;
-  }
-
-  static LeadingOnes_Ruggedness2 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes_Ruggedness2(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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Program Listing for File f_leading_ones_ruggedness3.hpp

-

Return to documentation for file (src/Problems/PBO/f_leading_ones_ruggedness3.hpp)

-
#ifndef _F_LEADING_ONES_RUGGEDNESSTHREE_H
-#define _F_LEADING_ONES_RUGGEDNESSTHREE_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class LeadingOnes_Ruggedness3 : public IOHprofiler_problem<int> {
-public:
-  LeadingOnes_Ruggedness3(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("LeadingOnes_Ruggedness3");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~LeadingOnes_Ruggedness3() {}
-
-  std::vector<double> info;
-  void prepare_problem() {
-    info = ruggedness3(IOHprofiler_get_number_of_variables());
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if(x[i] == 1) {
-        result = i + 1;
-      } else {
-        break;
-      }
-    }
-    result = this->info[(int)(result + 0.5)];
-    return (double)result;
-  }
-
-  static LeadingOnes_Ruggedness3 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new LeadingOnes_Ruggedness3(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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Program Listing for File f_linear.hpp

-

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-
#ifndef _F_LINEAR_H
-#define _F_LINEAR_H
-
-#include "IOHprofiler_problem.h"
-
-class Linear : public IOHprofiler_problem<int> {
-public:
-  Linear(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("Linear");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    Initilize_problem(dimension);
-  }
-
-  ~Linear() {}
-
-  void Initilize_problem(int dimension) {
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = x.size();
-    double result = 0;
-    for (int i = 0; i < n; ++i) {
-      result += (double)x[i] * (double)(i + 1);
-    }
-    return (double)result;
-  }
-
-  static Linear * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new Linear(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_nk_landscapes.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_nk_landscapes.hpp.html deleted file mode 100644 index a10554680..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_nk_landscapes.hpp.html +++ /dev/null @@ -1,298 +0,0 @@ - - - - - - - - - - Program Listing for File f_nk_landscapes.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - -
-
-
-
- -
-

Program Listing for File f_nk_landscapes.hpp

-

Return to documentation for file (src/Problems/PBO/f_nk_landscapes.hpp)

-
#ifndef _F_NK_LANDSCAPES_H
-#define _F_NK_LANDSCAPES_H
-
-#include "IOHprofiler_problem.h"
-
-class NK_Landscapes : public IOHprofiler_random, public IOHprofiler_problem<int> {
-public:
-  NK_Landscapes(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("NK_Landscapes");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~NK_Landscapes() {};
-
-  std::vector<std::vector<double>> F;
-  std::vector<std::vector<int>> E;
-  int k = 1;
-
-  void set_n_k(const int n, const int k) {
-    E.clear();
-    F.clear();
-    this->k = k;
-    if(k > n) {
-      IOH_error("NK_Landscapes, k > n");
-    }
-    std::vector<double> rand_vec;
-    for (int i = 0;i != n; ++i) {
-        IOHprofiler_uniform_rand((size_t)k,(long)(k * (i+1)),rand_vec);
-
-
-        std::vector<int> sampled_number;
-        std::vector<int> population;
-        for(int i = 0; i < n; ++i) {
-            population.push_back(i);
-        }
-
-        int temp,randPos;
-        for(int i = n-1; i > 0; --i) {
-            randPos = (int)floor(rand_vec[n-1-i] * (i+1));
-            temp = population[i];
-            population[i] = population[randPos];
-            population[randPos] = temp;
-            sampled_number.push_back(population[i]);
-            if(n-i-1 == k-1) {
-            break;
-            }
-        }
-        if(n == k) {
-          sampled_number.push_back(population[0]);
-        }
-        E.push_back(sampled_number);
-    }
-    for (int i = 0; i != n; ++i) {
-        IOHprofiler_uniform_rand((size_t)pow(2,k+1),(long)(k * (i+1) * 2),rand_vec);
-        F.push_back(rand_vec);
-    }
-  }
-
-  void prepare_problem() {
-    set_n_k(IOHprofiler_get_number_of_variables(),k);
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    double result = 0;
-    int index;
-    for (int i = 0; i != n; ++i) {
-      index= x[i];
-      for (int j = 0; j != k; ++j) {
-        index = index + pow(2,(j+1)) * x[E[i][j]];
-      }
-      result += F[i][index];
-    }
-
-    result = result / (double)n;
-    return -result;
-  }
-
-  static NK_Landscapes * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new NK_Landscapes(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max.hpp.html deleted file mode 100644 index 9cc3292b6..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max.hpp.html +++ /dev/null @@ -1,244 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
-
- -
-

Program Listing for File f_one_max.hpp

-

Return to documentation for file (src/Problems/PBO/f_one_max.hpp)

-
#ifndef _F_ONE_MAX_H
-#define _F_ONE_MAX_H
-
-#include "IOHprofiler_problem.h"
-
-class OneMax : public IOHprofiler_problem<int> {
-public:
-  OneMax(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += x[i];
-    }
-    return (double)result;
-  }
-
-  static OneMax * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_dummy1.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_dummy1.hpp.html deleted file mode 100644 index 566dd7911..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_dummy1.hpp.html +++ /dev/null @@ -1,249 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max_dummy1.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
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- -
-

Program Listing for File f_one_max_dummy1.hpp

-

Return to documentation for file (src/Problems/PBO/f_one_max_dummy1.hpp)

-
#ifndef _F_ONE_MAX_DUMMYONE_H
-#define _F_ONE_MAX_DUMMYONE_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class OneMax_Dummy1 : public IOHprofiler_problem<int> {
-public:
-  OneMax_Dummy1(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax_Dummy1");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax_Dummy1() {};
-
-  std::vector<int> info;
-  void prepare_problem() {
-    info = dummy(IOHprofiler_get_number_of_variables(),0.5,10000);
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = this->info.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += x[this->info[i]];
-    }
-    return (double)result;
-  }
-
-  static OneMax_Dummy1 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax_Dummy1(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_dummy2.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_dummy2.hpp.html deleted file mode 100644 index f4cbd2a1f..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_dummy2.hpp.html +++ /dev/null @@ -1,251 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max_dummy2.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
- -
-

Program Listing for File f_one_max_dummy2.hpp

-

Return to documentation for file (src/Problems/PBO/f_one_max_dummy2.hpp)

-
#ifndef _F_ONE_MAX_DUMMYTWO_H
-#define _F_ONE_MAX_DUMMYTWO_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class OneMax_Dummy2 : public IOHprofiler_problem<int> {
-public:
-
-  OneMax_Dummy2(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax_Dummy2");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax_Dummy2() {};
-
-  std::vector<int> info;
-  void prepare_problem() {
-    info = dummy(IOHprofiler_get_number_of_variables(),0.9,10000);
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    int n = this->info.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += x[this->info[i]];
-    }
-    return (double)result;
-  }
-
-  static OneMax_Dummy2 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax_Dummy2(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_epistasis.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_epistasis.hpp.html deleted file mode 100644 index 11c662cd9..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_epistasis.hpp.html +++ /dev/null @@ -1,249 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max_epistasis.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File f_one_max_epistasis.hpp

-

Return to documentation for file (src/Problems/PBO/f_one_max_epistasis.hpp)

-
#ifndef _F_ONE_MAX_EPISTASIS_H
-#define _F_ONE_MAX_EPISTASIS_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class OneMax_Epistasis : public IOHprofiler_problem<int> {
-public:
-  OneMax_Epistasis(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax_Epistasis");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax_Epistasis() {}
-
-  void customize_optimal() {
-    IOHprofiler_set_optimal(IOHprofiler_get_number_of_variables());
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    std::vector<int> new_variables = epistasis(x,4);
-    int n = new_variables.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += new_variables[i];
-    }
-    return (double)result;
-  }
-
-  static OneMax_Epistasis * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax_Epistasis(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_neutrality.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_neutrality.hpp.html deleted file mode 100644 index 5ba34d522..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_neutrality.hpp.html +++ /dev/null @@ -1,247 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max_neutrality.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
- -
-

Program Listing for File f_one_max_neutrality.hpp

-

Return to documentation for file (src/Problems/PBO/f_one_max_neutrality.hpp)

-
#ifndef _F_ONE_MAX_NEUTRALITY_H
-#define _F_ONE_MAX_NEUTRALITY_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class OneMax_Neutrality : public IOHprofiler_problem<int> {
-public:
-  OneMax_Neutrality(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax_Neutrality");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax_Neutrality() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    std::vector<int> new_variables = neutrality(x,3);
-    int n = new_variables.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += new_variables[i];
-    }
-    return (double)result;
-  }
-
-  static OneMax_Neutrality * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax_Neutrality(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness1.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness1.hpp.html deleted file mode 100644 index 4aa0909f1..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness1.hpp.html +++ /dev/null @@ -1,248 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max_ruggedness1.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
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-

Program Listing for File f_one_max_ruggedness1.hpp

-

Return to documentation for file (src/Problems/PBO/f_one_max_ruggedness1.hpp)

-
#ifndef _F_ONE_MAX_RUGGEDNESSONE_H
-#define _F_ONE_MAX_RUGGEDNESSONE_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class OneMax_Ruggedness1 : public IOHprofiler_problem<int> {
-public:
-
-  OneMax_Ruggedness1(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax_Ruggedness1");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax_Ruggedness1() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += x[i];
-    }
-    result = ruggedness1(result,n);
-    return (double)result;
-  }
-
-  static OneMax_Ruggedness1 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax_Ruggedness1(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness2.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness2.hpp.html deleted file mode 100644 index 61dd2ce58..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness2.hpp.html +++ /dev/null @@ -1,249 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max_ruggedness2.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
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-

Program Listing for File f_one_max_ruggedness2.hpp

-

Return to documentation for file (src/Problems/PBO/f_one_max_ruggedness2.hpp)

-
#ifndef _F_ONE_MAX_RUGGEDNESSTWO_H
-#define _F_ONE_MAX_RUGGEDNESSTWO_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class OneMax_Ruggedness2 : public IOHprofiler_problem<int> {
-public:
-
-  OneMax_Ruggedness2(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax_Ruggedness2");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax_Ruggedness2() {}
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += x[i];
-    }
-    result = ruggedness2(result,n);
-    return (double)result;
-  }
-
-
-  static OneMax_Ruggedness2 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax_Ruggedness2(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness3.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness3.hpp.html deleted file mode 100644 index b7ea74784..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_PBO_f_one_max_ruggedness3.hpp.html +++ /dev/null @@ -1,252 +0,0 @@ - - - - - - - - - - Program Listing for File f_one_max_ruggedness3.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File f_one_max_ruggedness3.hpp

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Return to documentation for file (src/Problems/PBO/f_one_max_ruggedness3.hpp)

-
#ifndef _F_ONE_MAX_RUGGEDNESSTHREE_H
-#define _F_ONE_MAX_RUGGEDNESSTHREE_H
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class OneMax_Ruggedness3 : public IOHprofiler_problem<int> {
-public:
-
-  OneMax_Ruggedness3(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("OneMax_Ruggedness3");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~OneMax_Ruggedness3() {}
-
-  std::vector<double> info;
-  void prepare_problem() {
-    info = ruggedness3(IOHprofiler_get_number_of_variables());
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-
-    int n = x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += x[i];
-    }
-    result = this->info[(int)(result+0.5)];
-    return (double)result;
-  }
-
-  static OneMax_Ruggedness3 * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new OneMax_Ruggedness3(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_README.md.html b/docs/_build/html/api/program_listing_file_src_Problems_README.md.html deleted file mode 100644 index df0a84139..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_README.md.html +++ /dev/null @@ -1,299 +0,0 @@ - - - - - - - - - - Program Listing for File README.md — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File README.md

-

Return to documentation for file (src/Problems/README.md)

-
## Problems of IOHexperimenter
-
-[IOHprofiler_problem](/src/Template/IOHprofiler_problem.hpp) is the base `class` of problems of __IOHexperimenter__. The property variables of problems include:
-* `problem_id`, will be assigned if the problem is added to a suite, otherwise default by 0.
-* `instance_id`,  sets transformation methods on problems. The original problem is with instance_id 1, <i>scale</i> and <i>shift</i> are applied on objectives for instance_id in [2,100], <i>XOR</i> is applied on variables for instance_id in [2,50], and <i>sigma</i> function is applied on variables for instance_id in [51,100].
-* `problem_name`
-* `problem_type`
-* `lowerbound`, is a vector of lowerbound for variables.
-* `upperbound`, is a vector of upperbound for variables.
-* `number_of_variables`, is the dimension of the problem.
-* `number_of_objectives`, is only available as 1 now. The functionality of multi-objectives is under development.
-* `best_variables`, is a vector of optimal solution, which is used to calculate the optimum. If the best_variables is not given, the optimum will be set as __DBL_MAX__.
-* `optimal`, is a vector of optimal objectives, but currently only single objective is supported.
-
-* `evaluate_int_info`, is a vector of __int__ values that are iteratively used in <i>evaluate</i>.
-* `evaluate_double_info`, is a vector of __double__ values that are iteratively used in <i>evaluate</i>.
-
-And some functions for personal experiments are supplied:
-* <i>evaluate(x)</i>, returns a vector of fitness values. The argument __x__ is a vector of variables.
-* <i>evaluate(x,y)</i>, updates __y__ with a vector of fitness values, and __x__ is a vector of variables.
-* <i>addCSVLogger(logger)</i>, assigns a __IOHprofiler_csv_logger__ class to the problem.
-* <i>clearLogger()</i>, delete logger methods of the problem.
-* <i>reset_problem()</i>, reset the history information of problem evaluations. You should call this function at first when you plan to do another test on the same problem class.
-* <i>IOHprofiler_hit_optimal()</i>, returns true if the optimum of the problem has been found.
-* <i>IOHprofiler_set_number_of_variables(number_of_variables)</i>, sets dimension of the problem.
-* <i>IOHprofiler_set_instance_id(instance_id)</i>
-
-### Creating a problem
-__IOHexperimenter__ provides a variety of problems for testing algorithms, but it is also easy to add your own problems. Overall, to create a problem of __IOHexperimenter__, two functions need to be implemented: <i>construct functions</i> and <i>internel_evaluate</i>. Additionally, you can define <i>update_evaluate_double_info</i> and <i>update_evaluate_int_info</i> to make evluate process more efficiently.
-
-Taking the implementation of __OneMax__ as an instance, <i>construct functions</i> are as below. `problem_name` and `number_of_objectives` __must__ be set. In general, two methods of construction of the problems are given. One is constructing without giving `instance_id` and `dimension`, and the other one is with.
-```cpp
-OneMax() {
-  IOHprofiler_set_problem_name("OneMax");
-  IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-  IOHprofiler_set_number_of_objectives(1);
-  IOHprofiler_set_lowerbound(0);
-  IOHprofiler_set_upperbound(1);
-  IOHprofiler_set_best_variables(1);
-}
-
-OneMax(int instance_id, int dimension) {
-  IOHprofiler_set_instance_id(instance_id);
-  IOHprofiler_set_problem_name("OneMax");
-  IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-  IOHprofiler_set_number_of_objectives(1);
-  IOHprofiler_set_lowerbound(0);
-  IOHprofiler_set_upperbound(1);
-  IOHprofiler_set_best_variables(1);
-  Initilize_problem(dimension);
-}
-
-~OneMax() {};
-
-void Initilize_problem(int dimension) {
-  IOHprofiler_set_number_of_variables(dimension);
-  IOHprofiler_set_optimal((double)dimension);
-};
-```
-
-The <i>internal_evaluate</i> __must__ be implemented as well. It is used during evaluate process, returning a vector of (real) objective values of the corresponding variables __x__.
-```cpp
-std::vector<double> internal_evaluate(std::vector<int> x) {
-  std::vector<double> y;
-  int n = x.size();
-  int result = 0;
-  for (int i = 0; i != n; ++i) {
-    result += x[i];
-  }
-  y.push_back((double)result);
-  return y;
-};
-```
-
-If you want to register your problem by `problem_name` and add it into a suite, please add functions creating instances as following codes.
-```cpp
-static OneMax * createInstance() {
-  return new OneMax();
-};
-
-static OneMax * createInstance(int instance_id, int dimension) {
-  return new OneMax(instance_id, dimension);
-};
-```
-To register the problem, you can use the <i>geniricGenerator</i> in [IOHprofiler_class_generator](/src/Template/). For example, you can use the following statement to register and create __OneMax__ ,
-```cpp
-// Register
-static registerInFactory<IOHprofiler_problem<int>,OneMax> regOneMax("OneMax");
-// Create
-std::shared_ptr<IOHprofiler_problem<int>> problem = genericGenerator<IOHprofiler_problem<int>>::instance().create("OneMax");
-```
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_WModel_f_w_model_leading_ones.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_WModel_f_w_model_leading_ones.hpp.html deleted file mode 100644 index c74e7ebbc..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_WModel_f_w_model_leading_ones.hpp.html +++ /dev/null @@ -1,321 +0,0 @@ - - - - - - - - - - Program Listing for File f_w_model_leading_ones.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File f_w_model_leading_ones.hpp

-

Return to documentation for file (src/Problems/WModel/f_w_model_leading_ones.hpp)

-
#ifndef _F_W_MODEL_LEADING_ONES_HPP
-#define _F_W_MODEL_LEADING_ONES_HPP
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class W_Model_LeadingOnes : public IOHprofiler_problem<int> {
-public:
-  W_Model_LeadingOnes(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("W_Model_LeadingOnes");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~W_Model_LeadingOnes() {};
-
-  std::vector<int> dummy_info;
-  double dummy_para = 0;
-  int epistasis_para = 0;
-  int neutrality_para = 0;
-  int ruggedness_para = 0;
-  std::vector<int> ruggedness_info;
-  int temp_dimension;
-  void prepare_problem() {
-    this->temp_dimension = this->IOHprofiler_get_number_of_variables();
-
-    if (this->dummy_para > 0) {
-      this->dummy_info = dummy(this->temp_dimension,dummy_para,10000);
-      assert(this->dummy_info.size()==(size_t)(this->temp_dimension*this->dummy_para));
-      this->temp_dimension = this->dummy_info.size();
-    }
-
-    if (this->neutrality_para > 0) {
-      this->temp_dimension = this->temp_dimension / this->neutrality_para;
-    }
-    if (this->ruggedness_para > 0) {
-      this->ruggedness_info = ruggedness_raw(ruggedness_translate(this->ruggedness_para, this->temp_dimension), this->temp_dimension);
-    }
-  }
-
-  void customize_optimal() {
-    int dimension = IOHprofiler_get_number_of_variables();
-    int optimal_value = (int)(dimension*(this->dummy_para == 0 ? 1 : this->dummy_para)) / (this->neutrality_para == 0 ? 1 : this->neutrality_para);
-
-    IOHprofiler_set_optimal((double)optimal_value);
-  }
-
-  void set_w_setting(const double dummy_para, const int epistasis_para, const int neutrality_para, const int ruggedness_para) {
-    this->dummy_para = dummy_para;
-    this->epistasis_para = epistasis_para;
-    this->neutrality_para = neutrality_para;
-    this->ruggedness_para = ruggedness_para;
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    std::vector<int> w_model_x;
-    std::vector<int> tempX;
-    int n;
-
-    // Dummy Layer
-    if (this->dummy_para > 0){
-      n = this->dummy_info.size();
-      w_model_x.reserve(n);
-      for (int i = 0; i != n; ++i) {
-        w_model_x.push_back(x[this->dummy_info[i]]);
-      }
-    } else {
-      w_model_x = x;
-    }
-
-    // Neutrality layer
-    if (this->neutrality_para > 0) {
-      tempX = w_model_x;
-      layer_neutrality_compute(tempX,w_model_x,this->neutrality_para);
-    }
-
-    // Epistasis layer
-    if (this->epistasis_para > 0) {
-      tempX = w_model_x;
-      layer_epistasis_compute(tempX,w_model_x,this->epistasis_para);
-    }
-
-    // Base evaluate
-    n = w_model_x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      if (w_model_x[i] == 1) {
-        result = i + 1;
-      }
-      else {
-        break;
-      }
-    }
-
-    // Ruggedness layer
-    if (this->ruggedness_para > 0) {
-      result = this->ruggedness_info[result];
-    }
-
-    return (double)result;
-  }
-
-  static W_Model_LeadingOnes * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new W_Model_LeadingOnes(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
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Program Listing for File f_w_model_one_max.hpp

-

Return to documentation for file (src/Problems/WModel/f_w_model_one_max.hpp)

-
#ifndef _F_W_MODEL_ONE_MAX_HPP
-#define _F_W_MODEL_ONE_MAX_HPP
-
-#include "IOHprofiler_problem.h"
-#include "wmodels.hpp"
-
-class W_Model_OneMax : public IOHprofiler_problem<int> {
-public:
-  W_Model_OneMax(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    IOHprofiler_set_instance_id(instance_id);
-    IOHprofiler_set_problem_name("W_Model_OneMax");
-    IOHprofiler_set_problem_type("pseudo_Boolean_problem");
-    IOHprofiler_set_number_of_objectives(1);
-    IOHprofiler_set_lowerbound(0);
-    IOHprofiler_set_upperbound(1);
-    IOHprofiler_set_best_variables(1);
-    IOHprofiler_set_number_of_variables(dimension);
-  }
-
-  ~W_Model_OneMax() {};
-
-  std::vector<int> dummy_info;
-  double dummy_para = 0;
-  int epistasis_para = 0;
-  int neutrality_para = 0;
-  int ruggedness_para = 0;
-  std::vector<int> ruggedness_info;
-  int temp_dimension;
-  void prepare_problem() {
-    this->temp_dimension = this->IOHprofiler_get_number_of_variables();
-
-    if (this->dummy_para > 0) {
-      this->dummy_info = dummy(this->temp_dimension,dummy_para,10000);
-      assert(this->dummy_info.size()==(size_t)(this->temp_dimension*this->dummy_para));
-      this->temp_dimension = this->dummy_info.size();
-    }
-
-    if (this->neutrality_para > 0) {
-      this->temp_dimension = this->temp_dimension / this->neutrality_para;
-    }
-    if (this->ruggedness_para > 0) {
-      this->ruggedness_info = ruggedness_raw(ruggedness_translate(this->ruggedness_para, this->temp_dimension), this->temp_dimension);
-    }
-  }
-
-  void customize_optimal() {
-    int dimension = IOHprofiler_get_number_of_variables();
-    int optimal_value = (int)(dimension*(this->dummy_para == 0 ? 1 : this->dummy_para)) / (this->neutrality_para == 0 ? 1 : this->neutrality_para);
-
-    IOHprofiler_set_optimal((double)optimal_value);
-  }
-
-  void set_w_setting(const double dummy_para, const int epistasis_para, const int neutrality_para, const int ruggedness_para) {
-    this->dummy_para = dummy_para;
-    this->epistasis_para = epistasis_para;
-    this->neutrality_para = neutrality_para;
-    this->ruggedness_para = ruggedness_para;
-  }
-
-  double internal_evaluate(const std::vector<int> &x) {
-    std::vector<int> w_model_x;
-    std::vector<int> tempX;
-    int n;
-
-    if (this->dummy_para > 0){
-      n = this->dummy_info.size();
-      w_model_x.reserve(n);
-      for (int i = 0; i != n; ++i) {
-        w_model_x.push_back(x[this->dummy_info[i]]);
-      }
-    } else {
-      w_model_x = x;
-    }
-
-    // neutrality layer
-    if (this->neutrality_para > 0) {
-      tempX = w_model_x;
-      layer_neutrality_compute(tempX,w_model_x,this->neutrality_para);
-    }
-
-    // epistasis layer
-    if (this->epistasis_para > 0) {
-      tempX = w_model_x;
-      layer_epistasis_compute(tempX,w_model_x,this->epistasis_para);
-    }
-
-    // base evaluate
-    n = w_model_x.size();
-    int result = 0;
-    for (int i = 0; i != n; ++i) {
-      result += w_model_x[i];
-    }
-
-    // ruggedness layer
-    if (this->ruggedness_para > 0) {
-      result = this->ruggedness_info[result];
-    }
-
-    return (double)result;
-  }
-
-  static W_Model_OneMax * createInstance(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) {
-    return new W_Model_OneMax(instance_id, dimension);
-  }
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Problems_common_used_functions_wmodels.hpp.html b/docs/_build/html/api/program_listing_file_src_Problems_common_used_functions_wmodels.hpp.html deleted file mode 100644 index bec5c095d..000000000 --- a/docs/_build/html/api/program_listing_file_src_Problems_common_used_functions_wmodels.hpp.html +++ /dev/null @@ -1,527 +0,0 @@ - - - - - - - - - - Program Listing for File wmodels.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File wmodels.hpp

-

Return to documentation for file (src/Problems/common_used_functions/wmodels.hpp)

-
#ifndef _F_WMODELS_H
-#define _F_WMODELS_H
-
-#include "IOHprofiler_random.h"
-
-
-static std::vector<int> dummy(int number_of_variables, double select_rate, long inseed) {
-  std::vector<int> position;
-  std::vector<int> random_index;
-  std::vector<double> random_numbers;
-  int temp;
-  int select_num = (int)floor((double)(number_of_variables * select_rate));
-
-  position.reserve(number_of_variables);
-  for (int i = 0; i != number_of_variables; ++i) {
-    position.push_back(i);
-  }
-
-  IOHprofiler_random::IOHprofiler_uniform_rand((size_t)select_num,inseed,random_numbers);
-  for (int i = 0; i < select_num; ++i) {
-    random_index.push_back((int)floor(random_numbers[i] * 1e4 / 1e4 * number_of_variables));
-  }
-  for (int i = 0; i != select_num; ++i) {
-    temp = position[i];
-    position[i] = position[random_index[i]];
-    position[random_index[i]] = temp;
-  }
-
-  sort(position.begin(),position.begin()+select_num);
-
-  random_index.clear();
-  for(int i = 0; i != select_num; ++i){
-    random_index.push_back(position[i]);
-  }
-  return random_index;
-}
-
-static std::vector<int> neutrality(const std::vector<int> &variables, int mu) {
-  int number_of_variables = variables.size();
-  int n = (int)floor((double)number_of_variables/(double)mu);
-  std::vector<int> new_variables;
-
-  new_variables.reserve(n);
-  int i = 0, temp = 0;
-  while (i != number_of_variables) {
-    temp += variables[i];
-    if ((i+1) % mu == 0 && i != 0) {
-      if (temp >= mu / 2.0) {
-        new_variables.push_back(1);
-      } else {
-        new_variables.push_back(0);
-      }
-      temp = 0;
-    }
-    i++;
-  }
-
-  return new_variables;
-}
-
-static std::vector<int> epistasis(const std::vector<int> &variables, int v) {
-  int h, epistasis_result;
-  int number_of_variables = variables.size();
-  std::vector<int> new_variables;
-  new_variables.reserve(number_of_variables);
-  h = 0;
-  while (h + v - 1 < number_of_variables) {
-    int i = 0;
-    while(i < v) {
-      epistasis_result = -1;
-      for (int j = 0; j < v; ++j) {
-        if ((v - j - 1) != ((v - i - 1) - 1) % 4) {
-          if (epistasis_result == -1) {
-            epistasis_result = variables[h+j];
-          } else {
-            epistasis_result = (epistasis_result != variables[h+j]);
-          }
-        }
-      }
-      new_variables.push_back(epistasis_result);
-      ++i;
-    }
-    h += v;
-  }
-  if(number_of_variables - h > 0) {
-    v = number_of_variables - h;
-    int i = 0;
-    while (i < v) {
-      epistasis_result = -1;
-      for (int j = 0; j < v; ++j) {
-        if ((v - j - 1) != ((v - i - 1) - 1) % 4) {
-          if (epistasis_result == -1) {
-            epistasis_result = variables[h+j];
-          } else {
-            epistasis_result = (epistasis_result != variables[h+j]);
-          }
-        }
-      }
-      new_variables.push_back(epistasis_result);
-      ++i;
-    }
-    h += v;
-  }
-  return new_variables;
-}
-
-static double ruggedness1(double y, int number_of_variables) {
-  double ruggedness_y, s;
-  s = (double)number_of_variables;
-  if(y == s) {
-    ruggedness_y = ceil(y/2.0) + 1.0;
-  } else if (y < s && number_of_variables % 2 == 0) {
-    ruggedness_y = floor(y / 2.0) + 1.0;
-  } else if (y < s && number_of_variables % 2 != 0) {
-    ruggedness_y = ceil(y / 2.0) + 1.0;
-  } else {
-    ruggedness_y = y;
-    assert(y <= s);
-  }
-  return ruggedness_y;
-}
-
-static double ruggedness2(double y, int number_of_variables) {
-  double ruggedness_y;
-  int tempy=(int)(y+0.5);
-  if (tempy == number_of_variables) {
-    ruggedness_y = y;
-  } else if (tempy < number_of_variables && tempy % 2 == 0 && number_of_variables % 2 == 0) {
-    ruggedness_y = y + 1.0;
-  } else if (tempy < number_of_variables && tempy % 2 == 0 && number_of_variables % 2 != 0) {
-    ruggedness_y = (y - 1.0) > 0 ? (y - 1.0) : 0;
-  } else if (tempy < number_of_variables && tempy % 2 != 0 && number_of_variables % 2 == 0) {
-    ruggedness_y = (y - 1.0) > 0 ? (y - 1.0) : 0;
-  } else if (tempy < number_of_variables && tempy % 2 != 0 && number_of_variables % 2 != 0) {
-    ruggedness_y = y + 1.0;
-  } else {
-    ruggedness_y = y;
-    assert(tempy <= number_of_variables);
-  }
-  return ruggedness_y;
-}
-
-static std::vector<double> ruggedness3(int number_of_variables) {
-  std::vector<double> ruggedness_fitness(number_of_variables+1,0.0);
-
-  for (int j = 1; j <= number_of_variables/5; ++j) {
-    for (int k = 0; k < 5; ++k) {
-      ruggedness_fitness[number_of_variables-5*j+k] = (double)(number_of_variables - 5 * j + (4-k));
-    }
-  }
-  for (int k = 0; k < number_of_variables - number_of_variables / 5 * 5; ++k) {
-    ruggedness_fitness[k] = (double)(number_of_variables - number_of_variables / 5 * 5 - 1 - k);
-  }
-  ruggedness_fitness[number_of_variables] = (double)number_of_variables;
-  return ruggedness_fitness;
-}
-
-
-static void layer_neutrality_compute(const std::vector<int> &xIn, std::vector<int> &xOut, const int mu){
-  int thresholdFor1 = (mu >> 1) + (mu & 1);
-  int i,j,ones,flush;
-  int temp;
-  int dim = xIn.size();
-  int temp_dim = dim / mu;
-  if (xOut.size() != temp_dim) {
-    xOut.resize(temp_dim);
-  }
-  i=0;j=0; ones=0; flush=mu;
-  while ((i < dim) && (j<temp_dim)){
-    if (xIn[i]==1) {
-      ones+=1;
-    }
-    i+=1;
-    if (i >= flush) {
-      flush+=mu;
-      if (ones >= thresholdFor1) {
-        temp=1;
-      } else {
-        temp=0;
-      }
-      xOut[j]=temp;
-      j+=1;
-      ones=0;
-    }
-  }
-}
-
-static void base_epistasis(const std::vector<int> &xIn, const int start, const int nu, std::vector<int> &xOut) {
-  const int end = (start + nu) - 1;
-  const int flip = xIn[start];
-  int result;
-  int skip = start;
-  for (int i = end ; i >= start; --i) {
-    result = flip;
-    for (int j = end; j > start; --j) {
-      if (j != skip) {
-        result ^= (xIn[j]);
-      }
-    }
-    xOut[i] = result;
-    if ((--skip) < start) {
-      skip = end;
-    }
-  }
-}
-
-static void epistasis_compute(const std::vector<int>  &xIn, std::vector<int> &xOut, const int nu) {
-    const int length = xIn.size();
-    const int end = length - nu;
-    int i;
-    for (i = 0; i <= end; i += nu) {
-      base_epistasis(xIn, i, nu, xOut);
-    }
-    if (i < length) {
-      base_epistasis(xIn, i, length - i, xOut);
-    }
-  }
-
-static void layer_epistasis_compute(const std::vector<int> &x, std::vector<int> &epistasis_x, const int block_size) {
-  epistasis_compute(x,epistasis_x,block_size);
-}
-
-static int max_gamma(int q) {
-    return (int)((q * (q - 1))>>1);
-}
-
-static std::vector<int> ruggedness_raw(int gamma, int q){
-   int i,j,k,start,max;
-   int upper;
-   int t;
-/*fprintf(stderr,"gamma : %d\n",gamma);
-fprintf(stderr,"q : %d\n",q);*/
-   std::vector<int> r(q+1,0);
-   r[0]=0;
-   max = max_gamma(q);
-    if (gamma <= 0){
-      start = 0;
-    } else {
-      start = q - 1 - (int) (0.5 + sqrt(0.25 + ((max - gamma)<<1)));
-    }
-/*
-fprintf(stderr,"part1 : %d\n",((int)(0.25 + ((max - gamma)<<1))));
-fprintf(stderr,"part2 : %f\n",(sqrt((int)(0.25 + ((max - gamma)<<1)))));
-fprintf(stderr,"part3 : %d\n",(int)(0.5 + sqrt((int)(0.25 + ((max - gamma)<<1)))));*/
-/*fprintf(stderr,"start %d\n",start);*/
-
-/*for(i=0;i<q;i++){fprintf(stderr,"%d.",r[i]);}fprintf(stderr,"\n");*/
-    k = 0;
-    for (j = 1; j <= start; j++) {
-      if ((j & 1) != 0){ r[j] = (q - k);}
-      else{k=k+1; r[j] = k;}
-    }
-/*for(i=0;i<q;i++){fprintf(stderr,"%d.",r[i]);}fprintf(stderr,"\n");*/
-    for (; j <= q; j++) {
-      k=k+1;
-      if((start & 1) != 0){r[j] = (q - k);}
-      else{r[j]=k;}
-    }
-    upper = ((gamma - max) +(((q - start - 1) * (q - start)) >> 1));
-    j--;
-/*for(i=0;i<q;i++){fprintf(stderr,"%d.",r[i]);}fprintf(stderr,"\n");*/
-/*fprintf(stderr,"upper %d\n",upper);*/
-    for (i = 1; i <= upper; i++) {
-      j=j-1;
-
-      if(j>0){
-      t = r[j];
-      r[j] = r[q];
-      r[q] = t;}
-    }
-
-/*fprintf(stderr,"r\n");
-for(i=0;i<=q;i++){fprintf(stderr,"%d %d\n",i, r[i]);}*/
- std::vector<int> r2(q+1,0);
- for(i=0;i<=q;i++){r2[i]=q-r[q-i];}
-/*fprintf(stderr,"r2\n");
-for(i=0;i<=q;i++){fprintf(stderr,"%d %d\n",i, r2[i]);}*/
-    return r2;
-  }
-
-static int ruggedness_translate(int gamma, int q) {
-    int j, k, max, g, lastUpper;
-
-    if (gamma <= 0) {
-      return 0;
-    }
-    g = gamma;
-    max = max_gamma(q);
-    lastUpper = ((q >> 1) * ((q + 1) >> 1));
-    if (g <= lastUpper) {
-      j = abs(((q + 2) * 0.5)-sqrt((((q * q) * 0.25) + 1) - g));
-
-      k = ((g - ((q + 2) * j)) + (j * j) + q);
-      return ((k + 1 + ((((q + 2) * j) - (j * j) - q - 1) << 1))- (j - 1));
-    }
-
-    j = abs((((q % 2) + 1) * 0.5)
-        + sqrt((((1 - (q % 2)) * 0.25) + g) - 1 - lastUpper));
-
-    k = g - (((j - (q % 2)) * (j - 1)) + 1 + lastUpper);
-
-    return (max - k - ((2 * j * j) - j) - ((q % 2) * ((-2 * j) + 1)));
-  }
-
-
-
-static double layer_compute_ruggedness(const double y, size_t dimension,int gamma){
-  double result;
-  std::vector<int> r=ruggedness_raw(ruggedness_translate(gamma, dimension), dimension);
-  result=r[ (int)y ];
-
-  /*for(i=0;i<dimension+1;i++){fprintf(stderr,"%d ",r[i]);}fprintf(stderr,"\n");
-
-  fprintf(stderr,"dim %d val %f, result %f\n",dimension,y,result);*/
-  assert(result <= (double) dimension);
-  return result;
-}
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Suites_IOHprofiler_BBOB_suite.hpp.html b/docs/_build/html/api/program_listing_file_src_Suites_IOHprofiler_BBOB_suite.hpp.html deleted file mode 100644 index 3a70b8f05..000000000 --- a/docs/_build/html/api/program_listing_file_src_Suites_IOHprofiler_BBOB_suite.hpp.html +++ /dev/null @@ -1,348 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_BBOB_suite.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
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-
- -
-

Program Listing for File IOHprofiler_BBOB_suite.hpp

-

Return to documentation for file (src/Suites/IOHprofiler_BBOB_suite.hpp)

-
#ifndef _IOHPROFILER_BBOB_SUITE_HPP
-#define _IOHPROFILER_BBOB_SUITE_HPP
-
-#include "f_attractive_sector.hpp"
-#include "f_bent_cigar.hpp"
-#include "f_bueche_rastrigin.hpp"
-#include "f_different_powers.hpp"
-#include "f_discus.hpp"
-#include "f_ellipsoid.hpp"
-#include "f_ellipsoid_rotated.hpp"
-#include "f_gallagher21.hpp"
-#include "f_gallagher101.hpp"
-#include "f_griewank_rosenbrock.hpp"
-#include "f_katsuura.hpp"
-#include "f_linear_slope.hpp"
-#include "f_lunacek_bi_rastrigin.hpp"
-#include "f_rastrigin.hpp"
-#include "f_rastrigin_rotated.hpp"
-#include "f_rosenbrock.hpp"
-#include "f_rosenbrock_rotated.hpp"
-#include "f_schaffers10.hpp"
-#include "f_schaffers1000.hpp"
-#include "f_schwefel.hpp"
-#include "f_sharp_ridge.hpp"
-#include "f_sphere.hpp"
-#include "f_step_ellipsoid.hpp"
-#include "f_weierstrass.hpp"
-
-#include "IOHprofiler_suite.h"
-
-class BBOB_suite : public IOHprofiler_suite<double> {
-public:
-  BBOB_suite() {
-    std::vector<int> problem_id;
-    std::vector<int> instance_id;
-    std::vector<int> dimension;
-    for (int i = 0; i < 24; ++i) {
-      problem_id.push_back(i+1);
-    }
-    for (int i = 0; i < 1; ++i) {
-      instance_id.push_back(i+1);
-    }
-    dimension.push_back(5);
-
-    IOHprofiler_set_suite_problem_id(problem_id);
-    IOHprofiler_set_suite_instance_id(instance_id);
-    IOHprofiler_set_suite_dimension(dimension);
-    IOHprofiler_set_suite_name("BBOB");
-    registerProblem();
-  };
-
-  BBOB_suite(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension) {
-    for (int i = 0; i < problem_id.size(); ++i) {
-      if (problem_id[i] < 0 || problem_id[i] > 24) {
-        IOH_error("problem_id " + std::to_string(problem_id[i]) + " is not in BBOB_suite");
-      }
-    }
-
-    for (int i = 0; i < instance_id.size(); ++i) {
-      if (instance_id[i] < 0 || instance_id[i] > 100) {
-        IOH_error("instance_id " + std::to_string(instance_id[i]) + " is not in BBOB_suite");
-      }
-    }
-
-    for (int i = 0; i < dimension.size(); ++i) {
-      if (dimension[i] < 0 || dimension[i] > 100) {
-        IOH_error("dimension " + std::to_string(dimension[i]) + " is not in BBOB_suite");
-      }
-    }
-
-    IOHprofiler_set_suite_problem_id(problem_id);
-    IOHprofiler_set_suite_instance_id(instance_id);
-    IOHprofiler_set_suite_dimension(dimension);
-    IOHprofiler_set_suite_name("BBOB");
-    registerProblem();
-  }
-
-  void registerProblem() {
-    registerInFactory<IOHprofiler_problem<double>,Sphere> regSphere("Sphere");
-    registerInFactory<IOHprofiler_problem<double>,Ellipsoid> regEllipsoid("Ellipsoid");
-    registerInFactory<IOHprofiler_problem<double>,Rastrigin> regRastrigin("Rastrigin");
-    registerInFactory<IOHprofiler_problem<double>,Bueche_Rastrigin> regBueche_Rastrigin("Bueche_Rastrigin");
-    registerInFactory<IOHprofiler_problem<double>,Linear_Slope> regLinear_Slope("Linear_Slope");
-    registerInFactory<IOHprofiler_problem<double>,Attractive_Sector> regAttractive_Sector("Attractive_Sector");
-    registerInFactory<IOHprofiler_problem<double>,Step_Ellipsoid> regStep_Ellipsoid("Step_Ellipsoid");
-    registerInFactory<IOHprofiler_problem<double>,Rosenbrock> regRosenbrock("Rosenbrock");
-    registerInFactory<IOHprofiler_problem<double>,Rosenbrock_Rotated> regRosenbrock_Rotated("Rosenbrock_Rotated");
-    registerInFactory<IOHprofiler_problem<double>,Ellipsoid_Rotated> regEllipsoid_Rotated("Ellipsoid_Rotated");
-    registerInFactory<IOHprofiler_problem<double>,Discus> regDiscus("Discus");
-    registerInFactory<IOHprofiler_problem<double>,Bent_Cigar> regBent_Ciger("Bent_Cigar");
-    registerInFactory<IOHprofiler_problem<double>,Sharp_Ridge> regSharp_Ridge("Sharp_Ridge");
-    registerInFactory<IOHprofiler_problem<double>,Different_Powers> regDifferent_Powers("Different_Powers");
-    registerInFactory<IOHprofiler_problem<double>,Rastrigin_Rotated> regRastrigin_Rotated("Rastrigin_Rotated");
-    registerInFactory<IOHprofiler_problem<double>,Weierstrass> regWeierstrass("Weierstrass");
-    registerInFactory<IOHprofiler_problem<double>,Schaffers10> regSchaffers10("Schaffers10");
-    registerInFactory<IOHprofiler_problem<double>,Schaffers1000> regSchaffers1000("Schaffers1000");
-    registerInFactory<IOHprofiler_problem<double>,Griewank_RosenBrock> regGriewank_RosenBrock("Griewank_RosenBrock");
-    registerInFactory<IOHprofiler_problem<double>,Schwefel> regSchwefel("Schwefel");
-    registerInFactory<IOHprofiler_problem<double>,Gallagher101> regGallagher101("Gallagher101");
-    registerInFactory<IOHprofiler_problem<double>,Gallagher21> regGallagher21("Gallagher21");
-    registerInFactory<IOHprofiler_problem<double>,Katsuura> regKatsuura("Katsuura");
-    registerInFactory<IOHprofiler_problem<double>,Lunacek_Bi_Rastrigin> regLunacek_Bi_Rastrigin("Lunacek_Bi_Rastrigin");
-
-
-    mapIDTOName(1,"Sphere");
-    mapIDTOName(2,"Ellipsoid");
-    mapIDTOName(3,"Rastrigin");
-    mapIDTOName(4,"Bueche_Rastrigin");
-    mapIDTOName(5,"Linear_Slope");
-    mapIDTOName(6,"Attractive_Sector");
-    mapIDTOName(7,"Step_Ellipsoid");
-    mapIDTOName(8,"Rosenbrock");
-    mapIDTOName(9,"Rosenbrock_Rotated");
-    mapIDTOName(10,"Ellipsoid_Rotated");
-    mapIDTOName(11,"Discus");
-    mapIDTOName(12,"Bent_Cigar");
-    mapIDTOName(13,"Sharp_Ridge");
-    mapIDTOName(14,"Different_Powers");
-    mapIDTOName(15,"Rastrigin_Rotated");
-    mapIDTOName(16,"Weierstrass");
-    mapIDTOName(17,"Schaffers10");
-    mapIDTOName(18,"Schaffers1000");
-    mapIDTOName(19,"Griewank_RosenBrock");
-    mapIDTOName(20,"Schwefel");
-    mapIDTOName(21,"Gallagher101");
-    mapIDTOName(22,"Gallagher21");
-    mapIDTOName(23,"Katsuura");
-    mapIDTOName(24,"Lunacek_Bi_Rastrigin");
-  };
-
-  static BBOB_suite * createInstance() {
-    return new BBOB_suite();
-  };
-
-  static BBOB_suite * createInstance(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension) {
-    return new BBOB_suite(problem_id, instance_id, dimension);
-  };
-};
-
-#endif
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Suites_IOHprofiler_PBO_suite.hpp.html b/docs/_build/html/api/program_listing_file_src_Suites_IOHprofiler_PBO_suite.hpp.html deleted file mode 100644 index e80963014..000000000 --- a/docs/_build/html/api/program_listing_file_src_Suites_IOHprofiler_PBO_suite.hpp.html +++ /dev/null @@ -1,345 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_PBO_suite.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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  • Program Listing for File IOHprofiler_PBO_suite.hpp
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-

Program Listing for File IOHprofiler_PBO_suite.hpp

-

Return to documentation for file (src/Suites/IOHprofiler_PBO_suite.hpp)

-
#ifndef _IOHPROFILER_PBO_SUITE_HPP
-#define _IOHPROFILER_PBO_SUITE_HPP
-
-#include "f_one_max.hpp"
-#include "f_leading_ones.hpp"
-#include "f_linear.hpp"
-#include "f_one_max_dummy1.hpp"
-#include "f_one_max_dummy2.hpp"
-#include "f_one_max_neutrality.hpp"
-#include "f_one_max_epistasis.hpp"
-#include "f_one_max_ruggedness1.hpp"
-#include "f_one_max_ruggedness2.hpp"
-#include "f_one_max_ruggedness3.hpp"
-#include "f_leading_ones_dummy1.hpp"
-#include "f_leading_ones_dummy2.hpp"
-#include "f_leading_ones_neutrality.hpp"
-#include "f_leading_ones_epistasis.hpp"
-#include "f_leading_ones_ruggedness1.hpp"
-#include "f_leading_ones_ruggedness2.hpp"
-#include "f_leading_ones_ruggedness3.hpp"
-#include "f_labs.hpp"
-#include "f_ising_ring.hpp"
-#include "f_ising_torus.hpp"
-#include "f_ising_triangular.hpp"
-#include "f_MIS.hpp"
-#include "f_N_queens.hpp"
-
-#include "IOHprofiler_suite.h"
-
-class PBO_suite : public IOHprofiler_suite<int> {
-public:
-  PBO_suite() {
-    std::vector<int> problem_id;
-    std::vector<int> instance_id;
-    std::vector<int> dimension;
-    for (int i = 0; i < 23; ++i) {
-      problem_id.push_back(i+1);
-    }
-    for (int i = 0; i < 1; ++i) {
-      instance_id.push_back(i+1);
-    }
-    dimension.push_back(100);
-
-    IOHprofiler_set_suite_problem_id(problem_id);
-    IOHprofiler_set_suite_instance_id(instance_id);
-    IOHprofiler_set_suite_dimension(dimension);
-    IOHprofiler_set_suite_name("PBO");
-    registerProblem();
-  }
-
-  PBO_suite(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension) {
-    for (int i = 0; i < problem_id.size(); ++i) {
-      if (problem_id[i] < 0 || problem_id[i] > 23) {
-        IOH_error("problem_id " + std::to_string(problem_id[i]) + " is not in PBO_suite");
-      }
-    }
-
-    for (int i = 0; i < instance_id.size(); ++i) {
-      if (instance_id[i] < 0 || instance_id[i] > 100) {
-        IOH_error("instance_id " + std::to_string(instance_id[i]) + " is not in PBO_suite");
-      }
-    }
-
-    for (int i = 0; i < dimension.size(); ++i) {
-      if (dimension[i] < 0 || dimension[i] > 20000) {
-        IOH_error("dimension " + std::to_string(dimension[i]) + " is not in PBO_suite");
-      }
-    }
-
-    IOHprofiler_set_suite_problem_id(problem_id);
-    IOHprofiler_set_suite_instance_id(instance_id);
-    IOHprofiler_set_suite_dimension(dimension);
-    IOHprofiler_set_suite_name("PBO");
-    registerProblem();
-  }
-
-  void registerProblem() {
-    registerInFactory<IOHprofiler_problem<int>,OneMax> regOneMax("OneMax");
-    registerInFactory<IOHprofiler_problem<int>,OneMax_Dummy1> regOneMax_Dummy1("OneMax_Dummy1");
-    registerInFactory<IOHprofiler_problem<int>,OneMax_Dummy2> regOneMax_Dummy2("OneMax_Dummy2");
-    registerInFactory<IOHprofiler_problem<int>,OneMax_Epistasis> regOneMax_Epistasis("OneMax_Epistasis");
-    registerInFactory<IOHprofiler_problem<int>,OneMax_Neutrality> regOneMax_Neutrality("OneMax_Neutrality");
-    registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness1> regOneMax_Ruggedness1("OneMax_Ruggedness1");
-    registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness2> regOneMax_Ruggedness2("OneMax_Ruggedness2");
-    registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness3> regOneMax_Ruggedness3("OneMax_Ruggedness3");
-
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes> regLeadingOnes("LeadingOnes");
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Dummy1> regLeadingOnes_Dummy1("LeadingOnes_Dummy1");
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Dummy2> regLeadingOnes_Dummy2("LeadingOnes_Dummy2");
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Epistasis> regLeadingOnes_Epistasis("LeadingOnes_Epistasis");
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Neutrality> regLeadingOnes_Neutrality("LeadingOnes_Neutrality");
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness1> regLeadingOnes_Ruggedness1("LeadingOnes_Ruggedness1");
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness2> regLeadingOnes_Ruggedness2("LeadingOnes_Ruggedness2");
-    registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness3> regLeadingOnes_Ruggedness3("LeadingOnes_Ruggedness3");
-
-    registerInFactory<IOHprofiler_problem<int>,Linear> regLinear("Linear");
-    registerInFactory<IOHprofiler_problem<int>,MIS> regMIS("MIS");
-    registerInFactory<IOHprofiler_problem<int>,LABS> regLABS("LABS");
-    registerInFactory<IOHprofiler_problem<int>,NQueens> regNQueens("NQueens");
-    registerInFactory<IOHprofiler_problem<int>,Ising_Ring> regIsing_Ring("Ising_Ring");
-    registerInFactory<IOHprofiler_problem<int>,Ising_Torus> regIsing_Torus("Ising_Torus");
-    registerInFactory<IOHprofiler_problem<int>,Ising_Triangular> regIsing_Triangular("Ising_Triangular");
-
-    mapIDTOName(1,"OneMax");
-    mapIDTOName(2,"LeadingOnes");
-    mapIDTOName(3,"Linear");
-    mapIDTOName(4,"OneMax_Dummy1");
-    mapIDTOName(5,"OneMax_Dummy2");
-    mapIDTOName(6,"OneMax_Neutrality");
-    mapIDTOName(7,"OneMax_Epistasis");
-    mapIDTOName(8,"OneMax_Ruggedness1");
-    mapIDTOName(9,"OneMax_Ruggedness2");
-    mapIDTOName(10,"OneMax_Ruggedness3");
-    mapIDTOName(11,"LeadingOnes_Dummy1");
-    mapIDTOName(12,"LeadingOnes_Dummy2");
-    mapIDTOName(13,"LeadingOnes_Neutrality");
-    mapIDTOName(14,"LeadingOnes_Epistasis");
-    mapIDTOName(15,"LeadingOnes_Ruggedness1");
-    mapIDTOName(16,"LeadingOnes_Ruggedness2");
-    mapIDTOName(17,"LeadingOnes_Ruggedness3");
-    mapIDTOName(18,"LABS");
-    mapIDTOName(22,"MIS");
-    mapIDTOName(19,"Ising_Ring");
-    mapIDTOName(20,"Ising_Torus");
-    mapIDTOName(21,"Ising_Triangular");
-    mapIDTOName(23,"NQueens");
-  }
-
-  static PBO_suite * createInstance() {
-    return new PBO_suite();
-  }
-
-  static PBO_suite * createInstance(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension) {
-    return new PBO_suite(problem_id, instance_id, dimension);
-  }
-};
-#endif //_IOHPROFILER_PBO_SUITE_H
-
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Program Listing for File IOHprofiler_all_suites.hpp

-

Return to documentation for file (src/Suites/IOHprofiler_all_suites.hpp)

-
#ifndef _IOHPROFILER_ALL_SUITES_HPP
-#define _IOHPROFILER_ALL_SUITES_HPP
-
-#include "IOHprofiler_PBO_suite.hpp"
-#include "IOHprofiler_BBOB_suite.hpp"
-
-#include "IOHprofiler_class_generator.h"
-
-static registerInFactory<IOHprofiler_suite<int>,PBO_suite> regPBO("PBO");
-static registerInFactory<IOHprofiler_suite<double>,BBOB_suite> regBBOB("BBOB");
-
-#endif //_IOHPROFILER_ALL_SUITES_HPP
-
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Program Listing for File README.md

-

Return to documentation for file (src/Suites/README.md)

-
## Suites of IOHexperimenter
-
-[IOHprofiler_suite](/src/Template/IOHprofiler_suite.hpp) is the base `class` of suites of __IOHexperimenter__. The property variables of problems include:
-* `problem_id`, a vector containing the ids of the problems to be tested.
-* `instance_id`, a vector containing the ids of the instances of the problems. Intance ids specify which transformations will be applied to the problem. The original problem has instance_id 1; <i>scale</i> and <i>shift</i> are applied on objectives for instance_id in [2,100]; <i>XOR</i> will be applied on variables for instance_id in [2,50], and <i>sigma</i> function is applied on variables for instance_id in [51,100].
-* `dimension`, a vector containing the dimensions of the problems.
-* `number_of_problems`
-* `number_of_instances`
-* `number_of_dimensions`
-
-
-The following functions for experiments are available to a suite:
-* <i>get_next_problem</i>, return a shared point of problems of the suite in order.
-* <i>addCSVLogger(logger)</i>, assigns a __IOHprofiler_csv_logger__ class to the suite.
-* <i>IOHprofiler_set_suite_problem_id(problem_id)</i>
-* <i>IOHprofiler_set_suite_instance_id(instance_id)</i>
-* <i>IOHprofiler_set_suite_dimension(dimension)</i>
-* <i>mapIDTOName</i>, is to match problem id and name.
-
-### Creating a suite
-__IOHexperimenter__ provides a __PBO_suite__ for pseudo Boolean problems, but it is also easy to add your own suite. Creating a suite is done by registering problems in the suite and assigning ids to them.
-
-Taking the implementation of __PBO_suite__ as an example, <i>constructor functions</i> are as below. In the constructor functions, the range of allowed `problem_id`, `instance_id` and `dimension` should be identified. In addition, <i>registerProblem()</i> must be included in the constructor functions.
-```cpp
-PBO_suite() {
-  std::vector<int> problem_id;
-  std::vector<int> instance_id;
-  std::vector<int> dimension;
-  for (int i = 0; i < 23; ++i) {
-    problem_id.push_back(i+1);
-  }
-  for (int i = 0; i < 1; ++i) {
-    instance_id.push_back(i+1);
-  }
-  dimension.push_back(100);
-
-  IOHprofiler_set_suite_problem_id(problem_id);
-  IOHprofiler_set_suite_instance_id(instance_id);
-  IOHprofiler_set_suite_dimension(dimension);
-  IOHprofiler_set_suite_name("PBO");
-  registerProblem();
-};
-
-PBO_suite(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension) {
-  for (int i = 0; i < problem_id.size(); ++i) {
-    if (problem_id[i] < 0 || problem_id[i] > 23) {
-      IOH_error("problem_id " + std::to_string(problem_id[i]) + " is not in PBO_suite");
-    }
-  }
-
-  for (int i = 0; i < instance_id.size(); ++i) {
-    if (instance_id[i] < 0 || instance_id[i] > 100) {
-      IOH_error("instance_id " + std::to_string(instance_id[i]) + " is not in PBO_suite");
-    }
-  }
-
-  for (int i = 0; i < dimension.size(); ++i) {
-    if (dimension[i] < 0 || dimension[i] > 20000) {
-      IOH_error("dimension " + std::to_string(dimension[i]) + " is not in PBO_suite");
-    }
-  }
-
-  IOHprofiler_set_suite_problem_id(problem_id);
-  IOHprofiler_set_suite_instance_id(instance_id);
-  IOHprofiler_set_suite_dimension(dimension);
-  IOHprofiler_set_suite_name("PBO");
-  registerProblem();
-}
-```
-
-<i>registerProblem()</i> is a virtual function of the base `IOHprofiler_suite` class. When you create a suite, it __must__ be implemented. Problems to be included in the suite can be registered by name. Afterwards, problem id and name should be mapped through <i>mapIDTOName></i> function, which enables the suite to recognize problems by problem id. Following is the <i>registerProblem()</i> function of __PBO_suite__.
-```cpp
-  registerInFactory<IOHprofiler_problem<int>,OneMax> regOneMax("OneMax");
-  registerInFactory<IOHprofiler_problem<int>,OneMax_Dummy1> regOneMax_Dummy1("OneMax_Dummy1");
-  registerInFactory<IOHprofiler_problem<int>,OneMax_Dummy2> regOneMax_Dummy2("OneMax_Dummy2");
-  registerInFactory<IOHprofiler_problem<int>,OneMax_Epistasis> regOneMax_Epistasis("OneMax_Epistasis");
-  registerInFactory<IOHprofiler_problem<int>,OneMax_Neutrality> regOneMax_Neutrality("OneMax_Neutrality");
-  registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness1> regOneMax_Ruggedness1("OneMax_Ruggedness1");
-  registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness2> regOneMax_Ruggedness2("OneMax_Ruggedness2");
-  registerInFactory<IOHprofiler_problem<int>,OneMax_Ruggedness3> regOneMax_Ruggedness3("OneMax_Ruggedness3");
-
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes> regLeadingOnes("LeadingOnes");
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Dummy1> regLeadingOnes_Dummy1("LeadingOnes_Dummy1");
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Dummy2> regLeadingOnes_Dummy2("LeadingOnes_Dummy2");
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Epistasis> regLeadingOnes_Epistasis("LeadingOnes_Epistasis");
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Neutrality> regLeadingOnes_Neutrality("LeadingOnes_Neutrality");
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness1> regLeadingOnes_Ruggedness1("LeadingOnes_Ruggedness1");
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness2> regLeadingOnes_Ruggedness2("LeadingOnes_Ruggedness2");
-  registerInFactory<IOHprofiler_problem<int>,LeadingOnes_Ruggedness3> regLeadingOnes_Ruggedness3("LeadingOnes_Ruggedness3");
-
-  registerInFactory<IOHprofiler_problem<int>,Linear> regLinear("Linear");
-  registerInFactory<IOHprofiler_problem<int>,MIS> regMIS("MIS");
-  registerInFactory<IOHprofiler_problem<int>,LABS> regLABS("LABS");
-  registerInFactory<IOHprofiler_problem<int>,NQueens> regNQueens("NQueens");
-  registerInFactory<IOHprofiler_problem<int>,Ising_1D> regIsing_1D("Ising_1D");
-  registerInFactory<IOHprofiler_problem<int>,Ising_2D> regIsing_2D("Ising_2D");
-  registerInFactory<IOHprofiler_problem<int>,Ising_Triangle> regIsing_Triangle("Ising_Triangle");
-
-  mapIDTOName(1,"OneMax");
-  mapIDTOName(2,"LeadingOnes");
-  mapIDTOName(3,"Linear");
-  mapIDTOName(4,"OneMax_Dummy1");
-  mapIDTOName(5,"OneMax_Dummy2");
-  mapIDTOName(6,"OneMax_Neutrality");
-  mapIDTOName(7,"OneMax_Epistasis");
-  mapIDTOName(8,"OneMax_Ruggedness1");
-  mapIDTOName(9,"OneMax_Ruggedness2");
-  mapIDTOName(10,"OneMax_Ruggedness3");
-  mapIDTOName(11,"LeadingOnes_Dummy1");
-  mapIDTOName(12,"LeadingOnes_Dummy2");
-  mapIDTOName(13,"LeadingOnes_Neutrality");
-  mapIDTOName(14,"LeadingOnes_Epistasis");
-  mapIDTOName(15,"LeadingOnes_Ruggedness1");
-  mapIDTOName(16,"LeadingOnes_Ruggedness2");
-  mapIDTOName(17,"LeadingOnes_Ruggedness3");
-  mapIDTOName(18,"LABS");
-  mapIDTOName(22,"MIS");
-  mapIDTOName(19,"Ising_1D");
-  mapIDTOName(20,"Ising_2D");
-  mapIDTOName(21,"Ising_Triangle");
-  mapIDTOName(23,"NQueens");
-```
-
-If you want to register your suite called `suite_name`, please add following codes and modify names.
-```cpp
-static PBO_suite * createInstance() {
-  return new PBO_suite();
-};
-
-static PBO_suite * createInstance(std::vector<int> problem_id, std::vector<int> instance_id, std::vector<int> dimension) {
-  return new PBO_suite(problem_id, instance_id, dimension);
-};
-```
-To register the suite, you can use the <i>genericGenerator</i> in [IOHprofiler_class_generator](/src/Template/). For example, you can use the following statement to register and create __PBO_suite__ ,
-```cpp
-// Register
-static registerInFactory<IOHprofiler_suite<int>,PBO_suite> regPBO("PBO");
-// Create
-std::shared_ptr<IOHprofiler_suite<InputType>> suite = genericGenerator<IOHprofiler_suite<int>>::instance().create("PBO");
-);
-```
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Program Listing for File IOHprofiler_configuration.cpp

-

Return to documentation for file (src/Template/Experiments/IOHprofiler_configuration.cpp)

-
#include "IOHprofiler_configuration.h"
-
-int IOHprofiler_configuration::set_Dict(_Dict &dict, const std::string section, const std::string key, const std::string value) {
-  size_t i ;
-
-  if (dict.n > 0) {
-    for (i = 0; i < dict.n; ++i) {
-      if (key.length() == 0) {
-        continue;
-      }
-      if (value.length() == 0) {
-        continue;
-      }
-      if (dict.key[i].length() == 0) {
-        continue;
-      }
-      if (dict.section[i].length() == 0) {
-        continue;
-      }
-      if ((key == dict.key[i]) && (section==dict.section[i])) {
-        if (dict.value[i].length() != 0) {
-          std::cout << "Multi setting of key(" << key << ") or section(" << section << ")\n";
-          return -1;
-        }
-      }
-    }
-  }
-  dict.section.push_back(strstrip(section));
-  dict.key.push_back(strstrip(key));
-  dict.value.push_back(strstrip(value));
-  dict.n += 1;
-  return 0 ;
-}
-
-std::string IOHprofiler_configuration::get_Dict_String(const _Dict dict, const std::string section, const std::string key){
-  size_t i;
-  if (key.length() == 0) {
-    std::cout << "EMPTY KEY INPUT.\n";
-  }
-  if (section.length() == 0) {
-    std::cout << "EMPTY SECTION INPUT.\n";
-  }
-  for (i = 0; i < dict.n; ++i) {
-    if (dict.key[i].length() == 0) {
-      continue;
-    }
-    if (dict.section[i].length() == 0) {
-      continue;
-    }
-    if ((key == dict.key[i]) && (section == dict.section[i])) {
-      return dict.value[i];
-    }
-  }
-  std::cout << "Can not find the corresponding configuration for key: " << key << " in section : "<< section << "\n";
-  return NULL;
-}
-
-std::vector<int> IOHprofiler_configuration::get_Dict_int_vector(const _Dict dict, const std::string section, const std::string key, const int _min, const int _max){
-  size_t i;
-  std::vector<int> result;
-  if (key.length() == 0) {
-    std::cout << "EMPTY KEY INPUT.\n";
-  }
-  if (section.length() == 0){
-    std::cout << "EMPTY SECTION INPUT.\n";
-  }
-  for (i = 0; i < dict.n; ++i) {
-    if (dict.key[i].length() == 0) {
-      continue;
-    }
-    if (dict.section[i].length() == 0) {
-      continue;
-    }
-    if (key == dict.key[i] && section == dict.section[i]) {
-      result = get_int_vector_parse_string(dict.value[i],_min,_max);
-      return result;
-    }
-  }
-  std::cout << "Can not find the corresponding configuration for key: "<< key << " in section : "<< section << "\n";
-  return result;
-}
-
-int IOHprofiler_configuration::get_Dict_Int(const _Dict dict, const std::string section, const std::string key){
-  int result;
-  std::string str;
-  str = get_Dict_String(dict, section, key);
-  result = std::stoi(str);
-  return result;
-}
-
-bool IOHprofiler_configuration::get_Dict_bool(const _Dict dict, const std::string section, const std::string key){
-  bool result = false;
-  std::string str;
-  str = get_Dict_String(dict, section, key);
-  transform(str.begin(), str.end(), str.begin(), ::tolower);
-  if (str == "true") {
-    result = true;
-  }
-  return result;
-}
-
-linecontent IOHprofiler_configuration::add_Line(const std::string input_line, std::string &section, std::string &key, std::string &value){
-  linecontent content;
-  std::string line;
-  size_t len;
-  char tempkey[MAXKEYNUMBER];
-  char tempvalue[MAXKEYNUMBER];
-  char tempsection[MAXKEYNUMBER];
-
-  line = strstrip(input_line);
-  len = line.length();
-
-  if (len < 0) {
-    content = EMPTY;
-  } else if (line[0] == '#' || line[0] == ';') {
-    content = COMMENT;
-  } else if(line[0] == '['  && line[len-1] == ']') {
-    sscanf(line.c_str(), "[%[^]]",tempsection);
-    section = tempsection;
-    content = SECTION;
-  } else if(sscanf (line.c_str(), "%[^=] = \"%[^\"]", tempkey, tempvalue) == 2 || sscanf (line.c_str(), "%[^=] = '%[^\']", tempkey, tempvalue) == 2) {
-    value = tempvalue;
-    key = tempkey;
-    content = VALUE;
-  } else if(sscanf (line.c_str(), "%[^=] = %[^;#]", tempkey, tempvalue) == 2) {
-    value = tempvalue;
-    key = tempkey;
-    content = VALUE;
-  } else {
-    content = CON_ERROR;
-  }
-  return content;
-}
-
-_Dict IOHprofiler_configuration::load(const std::string filename) {
-  std::ifstream fp(filename.c_str());
-
-  std::string line;
-  std::string section;
-  std::string key;
-  std::string value;
-
-  int len;
-  _Dict dict;
-  linecontent lc;
-
-  if (!fp.is_open()) {
-    std::cout << "Cannot open file " << filename << std::endl;
-  }
-
-  while (!fp.eof()) {
-    getline(fp,line);
-    len = line.length() -1;
-    if (len <= 0) {
-      continue;
-    }
-
-    lc = add_Line(line,section,key,value);
-    switch(lc) {
-      case EMPTY:
-        break;
-      case COMMENT:
-        break;
-      case SECTION:
-        strstrip(section);
-        this->set_Dict(dict,section,key,value);
-        break;
-      case VALUE:
-        strstrip(key);
-        this->set_Dict(dict,section,key,value);
-        break;
-      case CON_ERROR:
-        std::cout << "There is an error for line: \" "<< line << "\"";
-        break;
-    }
-    if (lc == CON_ERROR) {
-      break;
-    }
-  }
-  fp.close();
-  return dict;
-}
-
-void IOHprofiler_configuration::readcfg(std::string filename){
-  _Dict dict;
-  dict = load(filename);
-  suite_name = get_Dict_String(dict,"suite","suite_name");
-  if (suite_name == "BBOB") {
-    max_number_of_problem = 24;
-    max_dimension = 100;
-  } else if (suite_name == "PBO") {
-    max_dimension = 20000;
-    max_number_of_problem = 23;
-  }
-  problem_id = get_Dict_int_vector(dict,"suite","problem_id",1,max_number_of_problem);
-  instance_id = get_Dict_int_vector(dict,"suite","instance_id",1,100);
-  dimension = get_Dict_int_vector(dict,"suite","dimension",1,max_dimension);
-
-  output_directory = get_Dict_String(dict,"logger","output_directory");
-  result_folder = get_Dict_String(dict,"logger","result_folder");
-  algorithm_info = get_Dict_String(dict,"logger","algorithm_info");
-  algorithm_name = get_Dict_String(dict,"logger","algorithm_name");
-
-  complete_triggers = get_Dict_bool(dict,"observer","complete_triggers");
-  update_triggers = get_Dict_bool(dict,"observer","update_triggers");
-  base_evaluation_triggers = get_Dict_int_vector(dict,"observer","base_evaluation_triggers",0,10);
-  number_target_triggers = get_Dict_Int(dict,"observer","number_target_triggers");
-  number_interval_triggers = get_Dict_Int(dict,"observer","number_interval_triggers");
-  }
-
-std::string IOHprofiler_configuration::get_suite_name() {
-  return this->suite_name;
-}
-
-std::vector<int> IOHprofiler_configuration::get_problem_id() {
-  return this->problem_id;
-}
-
-std::vector<int> IOHprofiler_configuration::get_instance_id() {
-  return this->instance_id;
-}
-
-std::vector<int> IOHprofiler_configuration::get_dimension() {
-  return this->dimension;
-}
-
-std::string IOHprofiler_configuration::get_output_directory() {
-  return this->output_directory;
-}
-
-std::string IOHprofiler_configuration::get_result_folder() {
-  return this->result_folder;
-}
-
-std::string IOHprofiler_configuration::get_algorithm_info() {
-  return this->algorithm_info;
-}
-
-std::string IOHprofiler_configuration::get_algorithm_name() {
-  return this->algorithm_name;
-}
-
-bool IOHprofiler_configuration::get_complete_triggers() {
-  return this->complete_triggers;
-}
-
-bool IOHprofiler_configuration::get_update_triggers() {
-  return this->update_triggers;
-}
-
-std::vector<int> IOHprofiler_configuration::get_base_evaluation_triggers() {
-  return this->base_evaluation_triggers;
-}
-
-int IOHprofiler_configuration::get_number_target_triggers() {
-  return this->number_target_triggers;
-}
-
-int IOHprofiler_configuration::get_number_interval_triggers() {
-  return this->number_interval_triggers;
-}
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_Experiments_IOHprofiler_configuration.h.html b/docs/_build/html/api/program_listing_file_src_Template_Experiments_IOHprofiler_configuration.h.html deleted file mode 100644 index 18067f981..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_Experiments_IOHprofiler_configuration.h.html +++ /dev/null @@ -1,302 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_configuration.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File IOHprofiler_configuration.h

-

Return to documentation for file (src/Template/Experiments/IOHprofiler_configuration.h)

-
#ifndef _IOHPROFILER_CONFIGURATION_H
-#define _IOHPROFILER_CONFIGURATION_H
-
-#include "IOHprofiler_string.hpp"
-
-#define MAXLINESIZE 1024
-#define MAXKEYNUMBER 100
-
-static int max_number_of_problem;
-static int max_dimension;
-
-class _Dict {
-public:
-  _Dict() {};
-  ~_Dict() {};
-  int n = 0;
-  size_t size;
-  std::vector<std::string> section;
-  std::vector<std::string> value;
-  std::vector<std::string> key;
-};
-
-typedef enum _LINE_ {
-  EMPTY,
-  COMMENT,
-  SECTION,
-  VALUE,
-  CON_ERROR
-} linecontent;
-
-class IOHprofiler_configuration {
-public:
-  IOHprofiler_configuration() {}
-
-  int set_Dict(_Dict &dict, const std::string section, const std::string key, const std::string value);
-
-  std::string get_Dict_String(const _Dict dict, const std::string section, const std::string key);
-
-  std::vector<int> get_Dict_int_vector(const _Dict dict, const std::string section, const std::string key, const int _min, const int _max);
-
-  int get_Dict_Int(const _Dict dict, const std::string section, const std::string key);
-
-  bool get_Dict_bool(const _Dict dict, const std::string section, const std::string key);
-
-  linecontent add_Line(const std::string input_line, std::string &section, std::string &key, std::string &value);
-
-  _Dict load(const std::string filename);
-
-  void readcfg(std::string filename);
-
-  std::string get_suite_name();
-
-  std::vector<int> get_problem_id();
-
-  std::vector<int> get_instance_id();
-
-  std::vector<int> get_dimension();
-
-  std::string get_output_directory();
-
-  std::string get_result_folder();
-
-  std::string get_algorithm_info();
-
-  std::string get_algorithm_name();
-
-  bool get_complete_triggers();
-
-  bool get_update_triggers();
-
-  std::vector<int> get_base_evaluation_triggers();
-
-  int get_number_target_triggers();
-
-  int get_number_interval_triggers();
-
-private:
-  std::string cfgFile = "configuration.ini";
-  std::string suite_name;
-  std::vector<int> problem_id;
-  std::vector<int> instance_id;
-  std::vector<int> dimension;
-  std::string output_directory;
-  std::string result_folder;
-  std::string algorithm_info;
-  std::string algorithm_name;
-  bool complete_triggers;
-  bool update_triggers;
-  std::vector<int> base_evaluation_triggers;
-  int number_target_triggers;
-  int number_interval_triggers;
-};
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_Experiments_IOHprofiler_experimenter.h.html b/docs/_build/html/api/program_listing_file_src_Template_Experiments_IOHprofiler_experimenter.h.html deleted file mode 100644 index 9ded14a60..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_Experiments_IOHprofiler_experimenter.h.html +++ /dev/null @@ -1,249 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_experimenter.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File IOHprofiler_experimenter.h

-

Return to documentation for file (src/Template/Experiments/IOHprofiler_experimenter.h)

-
#ifndef _IOHPROFILER_EXPERIMENTER_HPP
-#define _IOHPROFILER_EXPERIMENTER_HPP
-
-#include "IOHprofiler_common.h"
-#include "IOHprofiler_all_suites.hpp"
-#include "IOHprofiler_csv_logger.h"
-#include "IOHprofiler_configuration.h"
-
-#include <ctime>
-
-template <class InputType> class IOHprofiler_experimenter {
-public:
-  typedef void _algorithm(std::shared_ptr<IOHprofiler_problem<InputType> >, std::shared_ptr<IOHprofiler_csv_logger> logger);
-
-  IOHprofiler_experimenter();
-  IOHprofiler_experimenter(std::string configFileName, _algorithm *algorithm);
-  IOHprofiler_experimenter(IOHprofiler_suite<InputType> suite, std::shared_ptr<IOHprofiler_csv_logger> csv_logger, _algorithm * algorithm);
-
-  ~IOHprofiler_experimenter(){};
-
-  void _run();
-
-  void _set_independent_runs(int n);
-
-  void print_info(std::string info);
-
-  std::string vectorToString(std::vector<int> v);
-
-private:
-  IOHprofiler_configuration conf;
-  std::shared_ptr<IOHprofiler_suite<InputType> > configSuite;
-  std::shared_ptr<IOHprofiler_problem<InputType> > current_problem;
-  std::shared_ptr<IOHprofiler_csv_logger> config_csv_logger;
-  int independent_runs = 1;
-
-  _algorithm *algorithm;
-};
-
-#include "IOHprofiler_experimenter.hpp"
-
-#endif //_IOHPROFILER_EXPERIMENTER_H
-
-
-
- - -
- -
- - -
-
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Program Listing for File IOHprofiler_experimenter.hpp

-

Return to documentation for file (src/Template/Experiments/IOHprofiler_experimenter.hpp)

-
template <class InputType> IOHprofiler_experimenter<InputType>::IOHprofiler_experimenter(std::string configFileName, _algorithm *algorithm) {
-  this->conf.readcfg(configFileName);
-
-  configSuite = genericGenerator<IOHprofiler_suite<InputType> >::instance().create(conf.get_suite_name());
-  if (configSuite == nullptr) {
-    IOH_error("Creating suite fails, please check your configuration");
-  }
-
-  configSuite->IOHprofiler_set_suite_problem_id(conf.get_problem_id());
-  configSuite->IOHprofiler_set_suite_instance_id(conf.get_instance_id());
-  configSuite->IOHprofiler_set_suite_dimension(conf.get_dimension());
-  configSuite->loadProblem();
-
-  std::shared_ptr<IOHprofiler_csv_logger> logger(new IOHprofiler_csv_logger(conf.get_output_directory(),conf.get_result_folder(),conf.get_algorithm_name(),conf.get_algorithm_info()));
-  if (logger == nullptr) {
-    IOH_error("Creating logger fails, please check your configuration");
-  }
-
-  logger->set_complete_flag(conf.get_complete_triggers());
-  logger->set_interval(conf.get_number_interval_triggers());
-  logger->set_time_points(conf.get_base_evaluation_triggers(),conf.get_number_target_triggers());
-  logger->set_update_flag(conf.get_update_triggers());
-
-  config_csv_logger = logger;
-  config_csv_logger->activate_logger();
-
-  this->algorithm = algorithm;
-}
-
-template <class InputType> IOHprofiler_experimenter<InputType>::IOHprofiler_experimenter(IOHprofiler_suite<InputType> suite, std::shared_ptr<IOHprofiler_csv_logger> csv_logger, _algorithm * algorithm) {
-  configSuite = suite;
-  config_csv_logger = csv_logger;
-  this->algorithm = algorithm;
-}
-
-template <class InputType> void IOHprofiler_experimenter<InputType>::_run() {
-  std::clock_t c_start_overall = std::clock();
-
-  std::string info = "IOHprofiler_experiment\n";
-  info += "Suite: " + this->configSuite->IOHprofiler_suite_get_suite_name() + "\n";
-  info += "Problem: " + vectorToString(this->configSuite->IOHprofiler_suite_get_problem_id()) + "\n";
-  info += "Instance: " + vectorToString(this->configSuite->IOHprofiler_suite_get_instance_id()) + "\n";
-  info += "Dimension: " + vectorToString(this->configSuite->IOHprofiler_suite_get_dimension()) + "\n";
-  print_info(info);
-
-  this->config_csv_logger->track_suite(this->configSuite->IOHprofiler_suite_get_suite_name());
-
-  while ((current_problem = configSuite->get_next_problem()) != nullptr) {
-    std::clock_t c_start = std::clock();
-    info = "f";
-    info += std::to_string(current_problem->IOHprofiler_get_problem_id());
-    info += "_d" + std::to_string(current_problem->IOHprofiler_get_number_of_variables());
-    info += "_i" + std::to_string(current_problem->IOHprofiler_get_instance_id());
-    print_info(info);
-
-
-    this->config_csv_logger->track_problem(current_problem->IOHprofiler_get_problem_id(),
-                                            current_problem->IOHprofiler_get_number_of_variables(),
-                                            current_problem->IOHprofiler_get_instance_id(),
-                                            current_problem->IOHprofiler_get_problem_name(),
-                                            current_problem->IOHprofiler_get_optimization_type());
-
-    algorithm(current_problem,this->config_csv_logger);
-
-    print_info(".");
-
-    int count = 1;
-    while(independent_runs > count) {
-      current_problem = configSuite->get_current_problem();
-      this->config_csv_logger->track_problem(current_problem->IOHprofiler_get_problem_id(),
-                                            current_problem->IOHprofiler_get_number_of_variables(),
-                                            current_problem->IOHprofiler_get_instance_id(),
-                                            current_problem->IOHprofiler_get_problem_name(),
-                                            current_problem->IOHprofiler_get_optimization_type());
-      algorithm(current_problem,this->config_csv_logger);
-      ++count;
-
-      print_info(".");
-    }
-
-    std::clock_t c_end = std::clock();
-    print_info("CPU Time" + std::to_string(1000.0 * (c_end-c_start) / CLOCKS_PER_SEC) + "ms\n");
-  }
-
-  std::clock_t c_end_overall = std::clock();
-  print_info("Total CPU Time" + std::to_string(1000.0 * (c_end_overall-c_start_overall) / CLOCKS_PER_SEC) + "ms\n");
-}
-
-template <class InputType> void IOHprofiler_experimenter<InputType>::_set_independent_runs(int n) {
-  this->independent_runs = n;
-}
-
-template <class InputType> void IOHprofiler_experimenter<InputType>::print_info(std::string info) {
-  std::cout << info << std::flush;
-}
-
-template <class InputType> std::string IOHprofiler_experimenter<InputType>::vectorToString(std::vector<int> v) {
-
-  std::string s = "";
-  if (v.size() == 0) {
-    return s;
-  }
-  s = std::to_string(v[0]);
-  for (int i = 1; i != v.size(); ++i) {
-    s += " " + std::to_string(v[i]);
-  }
-
-  return s;
-}
-
-
-
- - -
- -
- - -
-
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-
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-

Program Listing for File IOHprofiler_string.hpp

-

Return to documentation for file (src/Template/Experiments/IOHprofiler_string.hpp)

-
#ifndef _IOHPROFILER_STRING_HPP
-#define _IOHPROFILER_STRING_HPP
-
-#include <sstream>
-#include "IOHprofiler_common.h"
-
-static std::string strstrip(std::string s)
-{
-  if (s.empty()) {
-      return s;
-  }
-  s.erase(0,s.find_first_not_of(' '));
-  s.erase(s.find_last_not_of('\r') + 1);
-  s.erase(s.find_last_not_of(' ') + 1);
-  return s;
-}
-
-static std::vector<int> get_int_vector_parse_string(std::string input, const int _min, const int _max) {
-  std::vector<std::string> spiltstring;
-  std::string tmp;
-  int tmpvalue,tmpvalue1;
-  std::vector<int> result;
-
-  size_t n = input.size();
-  input = strstrip(input);
-  for (size_t i = 0; i < n; ++i) {
-    if (input[i] != ',' && input[i] != '-' && !isdigit(input[i])) {
-      IOH_error("The configuration consists invalid characters.");
-    }
-  }
-
-  std::stringstream raw(input);
-  while(getline(raw, tmp, ',')) spiltstring.push_back(tmp);
-
-  n = spiltstring.size();
-  for (size_t i = 0; i < n; ++i) {
-    size_t l = spiltstring[i].size();
-
-    if (spiltstring[i][0] == '-') {
-      if(i != 0) {
-        IOH_error("Format error in configuration.");
-      } else {
-        tmp = spiltstring[i].substr(1);
-        if (tmp.find('-') != std::string::npos) {
-          IOH_error("Format error in configuration.");
-        }
-
-        tmpvalue = std::stoi(tmp);
-
-        if (tmpvalue < _min) {
-          IOH_error("Input value exceeds lowerbound.");
-        }
-
-        for (int value = _min; value <= tmpvalue; ++value) {
-          result.push_back(value);
-        }
-      }
-    } else if(spiltstring[i][spiltstring[i].length()-1] == '-') {
-      if (i != spiltstring.size() - 1) {
-        IOH_error("Format error in configuration.");
-      } else {
-        tmp = spiltstring[i].substr(0,spiltstring[i].length() - 1);
-        if (tmp.find('-') != std::string::npos) {
-          IOH_error("Format error in configuration.");
-        }
-        tmpvalue = std::stoi(tmp);
-        if (tmpvalue > _max) {
-          IOH_error("Input value exceeds upperbound.");
-        }
-        for (int value = _max; value <= tmpvalue; --value) {
-          result.push_back(value);
-        }
-      }
-    } else {
-      std::stringstream tempraw(spiltstring[i]);
-      std::vector<std::string> tmpvaluevector;
-      while (getline(tempraw, tmp, '-')) {
-        tmpvaluevector.push_back(tmp);
-      }
-      tmpvalue = std::stoi(tmpvaluevector[0]);
-      tmpvalue1 = std::stoi(tmpvaluevector[tmpvaluevector.size()-1]);
-      if (tmpvalue > tmpvalue1) {
-        IOH_error("Format error in configuration.");
-      }
-      if (tmpvalue < _min)  {
-        IOH_error("Input value exceeds lowerbound.");
-      }
-      if (tmpvalue1 > _max) {
-        IOH_error("Input value exceeds upperbound.");
-      }
-      for(int value = tmpvalue; value <= tmpvalue1; ++value) result.push_back(value);
-    }
-  }
-  return result;
-}
-#endif //_IOHPROFILER_STRING_HPP
-
-
-
- - -
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_Experiments_README.md.html b/docs/_build/html/api/program_listing_file_src_Template_Experiments_README.md.html deleted file mode 100644 index 1e6e4284c..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_Experiments_README.md.html +++ /dev/null @@ -1,247 +0,0 @@ - - - - - - - - - - Program Listing for File README.md — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Program Listing for File README.md

-

Return to documentation for file (src/Template/Experiments/README.md)

-
## Experiment and configuration of IOHexperimenter.
-
-__IOHexperimenters__ provides interface of using configuration files. After setting the path of the configuration file and giving an algorithm, the `IOHprofiler_experimenter` can organize experiments automatically.
-
-`IOHprofiler_configuration` reads configuration information from a given file, and these information can be used in `IOHprofiler_experimenter` to generate __IOHprofiler_suite__ and __IOHprofiler_csv_logger__.
-
-For the content of configuration file, it consists of three sections:
-
-__suite__ configures the problems to be tested.
-* __suite_name__, is the name of the suite to be used. Please make sure that the suite with the corresponding name is registered.
-* __problem_id__, configures problems to be tested. Note that id of problems are configured by the suite, please make sure that id is within the valid range.
-* __instance_id__, configures the transformation methods applied on problems.
-    For `PBO`:
-    * `1` : no transformer operations on the problem.
-    * `2-50` :  XOR and SHIFT operations are applied on the problem.
-    * `51-100`: SIGMA and SHIFT operations are applied on the problem.
-* __dimension__, configures dimension of problems to be tested. Note that allowed dimension is not larger than 20000.
-
-__logger__ configures the setting of output csv files.
-* __result_foler__ is the directory of the folder where sotres output files.
-* __algorithm_name__, is the name of the algorithm, which is used when generating '.info' files.
-* __algorithm_info__, is additional information of the algorithm, which is used when generating '.info' files.
-
-__observer__ configures parameters of `IOHprofiler_server`, which is used in `IOHprofiler_csv_logger`,
-* __complete_triggers__ is the switch of `.cdat` files, which works with __complete tracking__ strategy. Set it as `TRUE` or `true` if you want to output `.cdat` files.
-* __update_triggers__ is the switch of `.dat` files, which works with __target-based strategy__ strategy. Set it as `TRUE` or `true` if you want to output <i>.dat</i>` files.
-* __number_interval_triggers__ configures the `.idat` files, which works with __interval tracking__  number_target_triggers sets the value of the frequecny. If you do not want to generate `.idat` files, set `number_target_triggers` as 0.
-* __number_target_triggers__ configures the `.tdat` files, which works with __time-based tracking__ strategy.
-* __base_evaluation_triggers__ configures the `.tdat` files, which works with __time-based tracking__ strategy. To switch off `.tdat` files, set both __number_target_triggers__ and __base_evaluation_triggers__ as 0. For the detail of __time-based tracking__, please with the [wiki page](https://iohprofiler.github.io/IOHexperimenter/Loggers/Observer/).
-
-And for the function of algorithms, a shared smart pointer of `IOHprofiler_problem` should be one and the only one argument of it. An example of declaration of an evolutionary algorithm is as follow,
-```cpp
-void evolutionary_algorithm(std::shared_ptr<IOHprofiler_problem<int>> problem)
-```
-
-In addition, `IOHprofiler_experimenter` allows to test each problem mutliple times by using the following statements.
-```cpp
-experimenter._set_independent_runs(1);
-```
-
-
-
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Program Listing for File IOHprofiler_class_generator.h

-

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-
#ifndef _IOHPROFILER_PROBLEM_GENERATOR_H
-#define _IOHPROFILER_PROBLEM_GENERATOR_H
-
-#include "IOHprofiler_common.h"
-
-typedef std::string defaultIDKeyType;
-
-template <class manufacturedObj> class genericGenerator {
-
-
-  typedef  std::map<std::string, std::shared_ptr<manufacturedObj> (*)()> FN_registry;
-  FN_registry registry;
-
-  genericGenerator();
-  genericGenerator(const genericGenerator&) = delete;
-  genericGenerator &operator=(const genericGenerator&) = delete;
-
-public:
-  static genericGenerator &instance();
-
-  void regCreateFn(std::string, std::shared_ptr<manufacturedObj> (*)());
-
-  std::shared_ptr<manufacturedObj> create(std::string className) const;
-};
-
-template <class ancestorType  ,
-          class manufacturedObj,
-          typename classIDKey=defaultIDKeyType>
-class registerInFactory {
-public:
-    static std::shared_ptr<ancestorType> createInstance() {
-        return std::shared_ptr<ancestorType>(manufacturedObj::createInstance());
-    }
-
-    registerInFactory(const classIDKey id) {
-      genericGenerator<ancestorType>::instance().regCreateFn(id, createInstance);
-    }
-};
-
-#include "IOHprofiler_class_generator.hpp"
-
-#endif
-
-
-
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Program Listing for File IOHprofiler_class_generator.hpp

-

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-
template <class manufacturedObj> genericGenerator<manufacturedObj>::genericGenerator() {
-}
-
-template <class manufacturedObj> genericGenerator<manufacturedObj> &genericGenerator<manufacturedObj>::instance() {
-    static genericGenerator theInstance;
-    return theInstance;
-}
-
-template <class manufacturedObj> void genericGenerator<manufacturedObj>::regCreateFn(std::string clName, std::shared_ptr<manufacturedObj> (*func)()) {
-  registry[clName]=func;
-}
-
-template <class manufacturedObj> std::shared_ptr<manufacturedObj> genericGenerator<manufacturedObj>::create(std::string className) const {
-  std::shared_ptr<manufacturedObj> ret(nullptr);
-
-  typename FN_registry::const_iterator regEntry = registry.find(className);
-  if (regEntry != registry.end()) {
-    return (*regEntry).second();
-  }
-  return ret;
-}
-
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Program Listing for File IOHprofiler_common.cpp

-

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-
#ifndef _IOHPROFILER_COMMON_CPP
-#define _IOHPROFILER_COMMON_CPP
-
-#include "IOHprofiler_common.h"
-
-void IOH_error(std::string error_info) {
-  std::cerr << "IOH_ERROR_INFO : " << error_info << std::endl;
-  exit(1);
-}
-
-void IOH_warning(std::string warning_info) {
-  std::cout << "IOH_WARNING_INFO : " << warning_info << std::endl;
-}
-
-void IOH_log(std::string log_info) {
-  std::cout << "IOH_LOG_INFO : " << log_info << std::endl;
-}
-
-void IOH_log(std::string log_info, std::ofstream &log_stream) {
-  log_stream << "IOH_LOG_INFO : " << log_info << std::endl;
-}
-
-#endif //IOHPROFILER_COMMON_CPP
-
-
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Program Listing for File IOHprofiler_common.h

-

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-
#ifndef _IOHPROFILER_COMMON_HPP
-#define _IOHPROFILER_COMMON_HPP
-
-#include "IOHprofiler_platform.h"
-
-#include <iostream>
-#include <fstream>
-#include <sstream>
-#include <string>
-#include <vector>
-#include <cassert>
-#include <cmath>
-#include <cstdlib>
-#include <cstddef>
-#include <limits>
-#include <cfloat>
-#include <algorithm>
-#include <memory>
-#include <map>
-
-#define IOHprofiler_PATH_MAX 200
-
-#define IOHprofiler_MAX_DIMENSION 20000
-
-#define DEFAULT_PROBLEM_ID 0
-
-#define DEFAULT_INSTANCE 1
-
-#define DEFAULT_DIMENSION 4
-
-#define MAX_BUFFER_SIZE 65534
-
-enum IOH_optimization_type {Minimization=0, Maximization=1};
-
-void IOH_error(std::string error_info);
-
-void IOH_warning(std::string warning_info);
-
-void IOH_log(std::string log_info);
-
-void IOH_log(std::string log_info, std::ofstream &log_stream);
-
-
-template<class valueType>
-void copyVector(const std::vector<valueType> v1, std::vector<valueType> &v2) {
-  v2.assign(v1.begin(),v1.end());
-}
-
-template<class valueType>
-bool compareVector(const std::vector<valueType> &v1, const std::vector<valueType> &v2) {
-  int n = v1.size();
-  if(n != v2.size()){
-    IOH_error("Two compared vector must be with the same size\n");
-    return false;
-  }
-  for (int i = 0; i != n; ++i)
-  {
-    if(v1[i] != v2[i]){
-      return false;
-    }
-  }
-  return true;
-}
-
-template<class valueType>
-bool compareObjectives(const std::vector<valueType> &v1, const std::vector<valueType> &v2, const IOH_optimization_type optimization_type){
-  int n = v1.size();
-  if(n != v2.size()){
-    IOH_error("Two compared objective vector must be with the same size\n");
-    return false;
-  }
-  if (optimization_type == IOH_optimization_type::Maximization) {
-    for (int i = 0; i != n; ++i)
-    {
-      if (v1[i] <= v2[i]) {
-        return false;
-      }
-    }
-    return true;
-  } else {
-    for (int i = 0; i != n; ++i)
-    {
-      if (v1[i] >= v2[i]) {
-        return false;
-      }
-    }
-    return true;
-  }
-}
-
-template<class valueType>
-bool compareObjectives(const valueType v1, const valueType v2, const IOH_optimization_type optimization_type){
-  if (optimization_type == IOH_optimization_type::Maximization) {
-    if (v1 <= v2){
-      return false;
-    }
-    return true;
-  } else {
-    if (v1 >= v2) {
-      return false;
-    }
-    return true;
-  }
-}
-
-template<class valueType> std::string _toString(const valueType v) {
-  std::ostringstream ss;
-  ss << v;
-  return ss.str();
-}
-
-#endif //_IOHPROFILER_COMMON_HPP
-
-
-
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- -
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- -
-

Program Listing for File IOHprofiler_observer.cpp

-

Return to documentation for file (src/Template/IOHprofiler_observer.cpp)

-
#include "IOHprofiler_observer.h"
-
-void IOHprofiler_observer::set_complete_flag(bool complete_flag) {
-  this->observer_complete_flag = complete_flag;
-}
-
-bool IOHprofiler_observer::complete_status() const {
-  return observer_complete_flag;
-}
-
-bool IOHprofiler_observer::complete_trigger() const {
-  return observer_complete_flag;
-}
-
-void IOHprofiler_observer::set_interval(int interval) {
-  this->observer_interval = interval;
-}
-
-bool IOHprofiler_observer::interval_status() const {
-  if (observer_interval == 0) {
-    return false;
-  } else {
-    return true;
-  }
-}
-
-bool IOHprofiler_observer::interval_trigger(size_t evaluations) const {
-  if (observer_interval == 0) {
-    return false;
-  }
-  if (evaluations == 1 || evaluations % observer_interval == 0) {
-    return true;
-  } else {
-    return false;
-  }
-}
-
-void IOHprofiler_observer::set_update_flag(bool update_flag) {
-  this->observer_update_flag = update_flag;
-}
-
-bool IOHprofiler_observer::update_status() const {
-  return observer_update_flag;
-}
-
-bool IOHprofiler_observer::update_trigger(double fitness, IOH_optimization_type optimization_type) {
-  if (observer_update_flag == false) {
-    return false;
-  }
-
-  if (compareObjectives(fitness, current_best_fitness, optimization_type)) {
-    this->current_best_fitness = fitness;
-    return true;
-  }
-
-  return false;
-}
-
-void IOHprofiler_observer::set_time_points(const std::vector<int> & time_points, const int number_of_evaluations, const int time_points_exp_base1, const int time_points_exp_base2) {
-  this->observer_time_points = time_points;
-  this->observer_number_of_evaluations = number_of_evaluations;
-  this->observer_time_points_exp_base1 = time_points_exp_base1;
-  this->observer_time_points_exp_base2 = time_points_exp_base2;
-}
-
-bool IOHprofiler_observer::time_points_status() const {
-  if (this->observer_time_points.size() > 0) {
-    if(!(this->observer_time_points.size() == 1 && this->observer_time_points[0] == 0)) {
-      return true;
-    }
-  }
-  if (this->observer_number_of_evaluations > 0) {
-    return true;
-  }
-  return false;
-}
-
-bool IOHprofiler_observer::time_points_trigger(size_t evaluations) {
-  if (this->time_points_status() == false) {
-    return false;
-  }
-  bool result = false;
-
-  if(evaluations == this->evaluations_value1) {
-    result = true;
-    if (this->time_points_index < this->observer_time_points.size() - 1) {
-      this->time_points_index++;
-    } else {
-      this->time_points_index = 0;
-      this->time_points_expi++;
-    }
-    this->evaluations_value1 = (size_t)(this->observer_time_points[this->time_points_index] * pow( (double) observer_time_points_exp_base1,(double) this->time_points_expi) );
-    while (this->evaluations_value1 <= evaluations) {
-      if (this->time_points_index < this->observer_time_points.size() - 1) {
-        this->time_points_index++;
-      } else {
-        this->time_points_index = 0;
-        this->time_points_expi++;
-      }
-      this->evaluations_value1 = (size_t)(this->observer_time_points[this->time_points_index] * pow( (double) observer_time_points_exp_base1,(double) this->time_points_expi) );
-    }
-  }
-
-  if (evaluations == this->evaluations_value2) {
-    while ((size_t)floor(pow(observer_time_points_exp_base2,(double)this->evaluations_expi/(double)this->observer_number_of_evaluations)) <= this->evaluations_value2) {
-      this->evaluations_expi++;
-    }
-    this->evaluations_value2 = (size_t)floor(pow(observer_time_points_exp_base2,(double)this->evaluations_expi/(double)this->observer_number_of_evaluations));
-    result = true;
-  }
-  return result;
-}
-
-void IOHprofiler_observer::reset_observer(const IOH_optimization_type optimization_type) {
-  if (optimization_type == IOH_optimization_type::Maximization) {
-    this->current_best_fitness = std::numeric_limits<double>::lowest();
-  } else {
-    this->current_best_fitness = std::numeric_limits<double>::max();
-  }
-  this->evaluations_value1 = 1;
-  this->time_points_index = 0;
-  this->time_points_expi = 0;
-  this->evaluations_value2 = 1;
-  this->evaluations_expi = 0;
-}
-
-
-
- - -
- -
- - -
-
- -
- -
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- -
-

Program Listing for File IOHprofiler_observer.h

-

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-
#ifndef _IOHPROFILER_OBSERVER_H
-#define _IOHPROFILER_OBSERVER_H
-
-#include "IOHprofiler_common.h"
-#include "IOHprofiler_problem.h"
-class IOHprofiler_observer {
-public:
-  IOHprofiler_observer() :
-    observer_interval(0),
-    observer_complete_flag(false),
-    observer_update_flag(true),
-    observer_time_points({0}),
-    evaluations_value1(1),
-    time_points_index(0),
-    time_points_expi(0),
-    observer_time_points_exp_base1(10),
-    evaluations_value2(1),
-    evaluations_expi(0),
-    observer_time_points_exp_base2(10){}
-  virtual ~IOHprofiler_observer() {};
-
-  IOHprofiler_observer(const IOHprofiler_observer &) = delete;
-  IOHprofiler_observer &operator = (const IOHprofiler_observer&) = delete;
-
-  void set_complete_flag(bool complete_flag);
-
-  bool complete_status() const;
-
-  bool complete_trigger() const;
-
-  void set_interval(int interval);
-
-  bool interval_status() const;
-
-  bool interval_trigger(size_t evaluations) const;
-
-  void set_update_flag(bool update_flag);
-
-  bool update_trigger(double fitness, IOH_optimization_type optimization_type);
-
-  bool update_status() const;
-
-  void set_time_points(const std::vector<int> & time_points, const int number_of_evaluations, const int time_points_exp_base1 = 10, const int time_points_exp_base2 = 10);
-
-  bool time_points_status() const;
-
-  bool time_points_trigger(size_t evaluations);
-
-  void reset_observer(const IOH_optimization_type optimization_type);
-
-  virtual void do_log(const std::vector<double> &log_info) {}
-
-  virtual void track_problem(const IOHprofiler_problem<int> & problem) {}
-
-  virtual void track_problem(const IOHprofiler_problem<double> & problem) {}
-
-private:
-  int observer_interval;
-  bool observer_complete_flag;
-  bool observer_update_flag;
-
-  std::vector<int> observer_time_points;
-  size_t evaluations_value1;
-  size_t time_points_index;
-  int time_points_expi;
-  int observer_time_points_exp_base1;
-
-  int observer_number_of_evaluations;
-  size_t evaluations_value2;
-  int evaluations_expi;
-  int observer_time_points_exp_base2;
-
-  double current_best_fitness;
-};
-
-#endif // _IOHPROFILER_OBSERVER_H
-
-
-
- - -
- -
- - -
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_platform.h.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_platform.h.html deleted file mode 100644 index f116232f1..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_platform.h.html +++ /dev/null @@ -1,272 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_platform.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File IOHprofiler_platform.h

-

Return to documentation for file (src/Template/IOHprofiler_platform.h)

-
#ifndef __IOHPROFILER_PLATFORM
-#define __IOHPROFILER_PLATFORM
-
-#include <stddef.h>
-
-
-#if defined(_WIN32) || defined(_WIN64) || defined(__MINGW64__) || defined(__CYGWIN__)
-  #include <windows.h>
-  #include <io.h>
-  static const char *IOHprofiler_path_separator = "\\";
-#elif defined(__gnu_linux__)
-  #include <linux/limits.h>
-  #include <sys/stat.h>
-  #include <sys/types.h>
-  #include <unistd.h>
-  static const char *IOHprofiler_path_separator = "/";
-#elif defined(__APPLE__)
-  #include <sys/stat.h>
-  #include <sys/syslimits.h>
-  #include <sys/types.h>
-  #include <unistd.h>
-  static const char *IOHprofiler_path_separator = "/";
-#elif defined(__FreeBSD__)
-  #include <limits.h>
-  #include <sys/stat.h>
-  #include <sys/types.h>
-  #include <unistd.h>
-  static const char *IOHprofiler_path_separator = "/";
-#elif (defined(__sun) || defined(sun)) && (defined(__SVR4) || defined(__svr4__))
-  #include <limits.h>
-  #include <sys/stat.h>
-  #include <sys/types.h>
-  #include <unistd.h>
-  static const char *IOHprofiler_path_separator = "/";
-#else
-  #include <sys/stat.h>
-  #include <unistd.h>
-  static const char *IOHprofiler_path_separator = "/";
-#endif
-
-/* Definitions needed for creating and removing directories */
-/* Separately handle the special case of Microsoft Visual Studio 2008 with x86_64-w64-mingw32-gcc */
-#if _MSC_VER
-#include <direct.h>
-#elif defined(__MINGW32__) || defined(__MINGW64__)
-#include <dirent.h>
-#else
-#include <dirent.h>
-
-
-
-#endif
-
-/* Definition of the S_IRWXU constant needed to set file permissions */
-#if defined(HAVE_GFA)
-#define S_IRWXU 0700
-#endif
-
-/* To silence the Visual Studio compiler (C4996 warnings in the python build). */
-#ifdef _MSC_VER
-#pragma warning(disable : 4996)
-#endif
-
-#endif
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_problem.h.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_problem.h.html deleted file mode 100644 index f3f65ac7a..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_problem.h.html +++ /dev/null @@ -1,413 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_problem.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File IOHprofiler_problem.h

-

Return to documentation for file (src/Template/IOHprofiler_problem.h)

-
#ifndef _IOHPROFILER_PROBLEM_H
-#define _IOHPROFILER_PROBLEM_H
-
-#include "IOHprofiler_common.h"
-#include "IOHprofiler_transformation.h"
-
-static IOHprofiler_transformation transformation;
-
-template <class InputType> class IOHprofiler_problem
-{
-public:
-  IOHprofiler_problem(int instance_id = DEFAULT_INSTANCE, int dimension = DEFAULT_DIMENSION) :
-    problem_id(DEFAULT_PROBLEM_ID),
-    instance_id(instance_id),
-    maximization_minimization_flag(IOH_optimization_type::Maximization),
-    number_of_variables(DEFAULT_DIMENSION),
-    number_of_objectives(1),
-    lowerbound(std::vector<InputType> (number_of_variables) ),
-    upperbound(std::vector<InputType> (number_of_variables) ),
-    optimal(std::vector<double>(number_of_objectives) ),
-    optimalFound(false),
-    evaluations(0),
-    best_so_far_raw_objectives(std::vector<double>(number_of_objectives) ),
-    best_so_far_raw_evaluations(0),
-    best_so_far_transformed_objectives(std::vector<double>(number_of_objectives) ) {}
-
-  virtual ~IOHprofiler_problem() {}
-
-  IOHprofiler_problem(const IOHprofiler_problem&) = delete;
-  IOHprofiler_problem &operator=(const IOHprofiler_problem&) = delete;
-
-  // virtual std::vector<double> internal_evaluate_multi (const std::vector<InputType> &x) {
-  //   std::vector<double> result;
-  //   std::cout << "No multi evaluate function defined" << std::endl;
-  //   return result;
-  // };
-
-  virtual double internal_evaluate(const std::vector<InputType> &x) {
-    double result = std::numeric_limits<double>::lowest();
-    IOH_warning("No evaluate function defined");
-    return result;
-  }
-
-  virtual void prepare_problem() {
-  }
-
-  // std::vector<double> evaluate_multi(std::vector<InputType> x) {
-  //   ++this->evaluations;
-
-  //   transformation.variables_transformation(x,this->problem_id,this->instance_id,this->problem_type);
-  //   this->raw_objectives = internal_evaluate_multi(x);
-
-  //   this->transformed_objectives = this->raw_objectives;
-  //   transformation.objectives_transformation(x,this->transformed_objectives,this->problem_id,this->instance_id,this->problem_type);
-  //   if (compareObjectives(this->transformed_objectives,this->best_so_far_transformed_objectives,this->maximization_minimization_flag)) {
-  //     this->best_so_far_transformed_objectives = this->transformed_objectives;
-  //     this->best_so_far_transformed_evaluations = this->evaluations;
-  //     this->best_so_far_raw_objectives = this->raw_objectives;
-  //     this->best_so_far_raw_evaluations = this->evaluations;
-
-  //   }
-
-  //   if (compareVector(this->transformed_objectives,this->optimal)) {
-  //     this->optimalFound = true;
-  //   }
-
-  //   return this->transformed_objectives;
-  // }
-
-  double evaluate(std::vector<InputType> x);
-
-  virtual void customize_optimal(){
-
-  }
-
-  void calc_optimal();
-
-  // virtual std::vector<double> constraints() {
-  //   std::vector<double> con;
-  //   printf("No constraints function defined\n");
-  //   return con;
-  // };
-
-  void reset_problem();
-
-  std::vector<double> loggerCOCOInfo() const;
-
-  std::vector<double> loggerInfo() const;
-
-  bool IOHprofiler_hit_optimal() const;
-
-  int IOHprofiler_get_problem_id() const;
-
-  void IOHprofiler_set_problem_id(int problem_id);
-
-  int IOHprofiler_get_instance_id() const;
-
-  void IOHprofiler_set_instance_id(int instance_id);
-
-  std::string IOHprofiler_get_problem_name() const;
-
-  void IOHprofiler_set_problem_name(std::string problem_name);
-
-  std::string IOHprofiler_get_problem_type() const;
-
-  void IOHprofiler_set_problem_type(std::string problem_type);
-
-  std::vector<InputType> IOHprofiler_get_lowerbound() const;
-
-  void IOHprofiler_set_lowerbound(int lowerbound);
-
-  void IOHprofiler_set_lowerbound(const std::vector<InputType> &lowerbound);
-
-  std::vector<InputType> IOHprofiler_get_upperbound() const;
-
-  void IOHprofiler_set_upperbound(int upperbound);
-
-  void IOHprofiler_set_upperbound(const std::vector<InputType> &upperbound);
-
-  int IOHprofiler_get_number_of_variables() const;
-
-  void IOHprofiler_set_number_of_variables(const int number_of_variables);
-
-  void IOHprofiler_set_number_of_variables(const int number_of_variables, const std::vector<InputType> &best_variables);
-
-  int IOHprofiler_get_number_of_objectives() const;
-
-  void IOHprofiler_set_number_of_objectives(const int number_of_objectives);
-
-  std::vector<double> IOHprofiler_get_raw_objectives() const;
-
-  std::vector<double> IOHprofiler_get_transformed_objectives() const;
-
-  int IOHprofiler_get_transformed_number_of_variables() const;
-
-  std::vector<InputType> IOHprofiler_get_transformed_variables() const;
-
-  std::vector<InputType> IOHprofiler_get_best_variables() const;
-
-  void IOHprofiler_set_best_variables(const InputType best_variables);
-
-  void IOHprofiler_set_best_variables(const std::vector<InputType> &best_variables);
-
-  std::vector<double> IOHprofiler_get_optimal() const;
-
-  void IOHprofiler_set_optimal(const double optimal);
-
-  void IOHprofiler_set_optimal(const std::vector<double> &optimal);
-
-  void IOHprofiler_evaluate_optimal(std::vector<InputType> best_variables);
-
-  void IOHprofiler_evaluate_optimal();
-
-  int IOHprofiler_get_evaluations() const;
-
-  std::vector<double> IOHprofiler_get_best_so_far_raw_objectives() const;
-
-  int IOHprofiler_get_best_so_far_raw_evaluations() const;
-
-  std::vector<double> IOHprofiler_get_best_so_far_transformed_objectives() const;
-
-  int IOHprofiler_get_best_so_far_transformed_evaluations() const;
-
-  IOH_optimization_type IOHprofiler_get_optimization_type() const;
-
-  void IOHprofiler_set_as_maximization();
-
-  void IOHprofiler_set_as_minimization();
-
-private:
-  int problem_id;
-  int instance_id;
-
-  std::string problem_name;
-  std::string problem_type;
-
-  IOH_optimization_type maximization_minimization_flag;
-
-  std::size_t number_of_variables;
-  std::size_t number_of_objectives;
-
-  std::vector<InputType> lowerbound;
-  std::vector<InputType> upperbound;
-
-  std::vector<InputType> best_variables;
-  std::vector<InputType> best_transformed_variables;
-  std::vector<double> optimal;
-  bool optimalFound;
-
-  std::vector<double> raw_objectives;
-  std::vector<double> transformed_objectives;
-  int transformed_number_of_variables;
-  std::vector<InputType> transformed_variables;
-
-
-  std::size_t evaluations;
-  std::vector<double> best_so_far_raw_objectives;
-  int best_so_far_raw_evaluations;
-  std::vector<double> best_so_far_transformed_objectives;
-  int best_so_far_transformed_evaluations;
-};
-
-#include "IOHprofiler_problem.hpp"
-
-#endif // _IOHPROFILER_PROBLEM_H
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_problem.hpp.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_problem.hpp.html deleted file mode 100644 index 9fe4c0dc0..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_problem.hpp.html +++ /dev/null @@ -1,524 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_problem.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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  • Program Listing for File IOHprofiler_problem.hpp
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- - -
-
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-
- -
-

Program Listing for File IOHprofiler_problem.hpp

-

Return to documentation for file (src/Template/IOHprofiler_problem.hpp)

-
template <class InputType> double IOHprofiler_problem<InputType>::evaluate(std::vector<InputType> x) {
-  ++this->evaluations;
-
-  if(x.size() != this->number_of_variables) {
-    IOH_warning("The dimension of solution is incorrect.");
-    if (this->maximization_minimization_flag == IOH_optimization_type::Maximization) {
-      this->raw_objectives[0] = std::numeric_limits<double>::lowest();
-      this->transformed_objectives[0] = std::numeric_limits<double>::lowest();
-    } else {
-      this->raw_objectives[0] = std::numeric_limits<double>::max();
-      this->transformed_objectives[0] = std::numeric_limits<double>::max();
-    }
-    return this->transformed_objectives[0];
-  }
-
-  transformation.variables_transformation(x,this->problem_id,this->instance_id,this->problem_type);
-  this->raw_objectives[0] = internal_evaluate(x);
-
-  this->transformed_objectives[0] = this->raw_objectives[0];
-
-  transformation.objectives_transformation(x,this->transformed_objectives,this->problem_id,this->instance_id,this->problem_type);
-  if (compareObjectives(this->transformed_objectives,this->best_so_far_transformed_objectives,this->maximization_minimization_flag)) {
-    this->best_so_far_transformed_objectives = this->transformed_objectives;
-    this->best_so_far_transformed_evaluations = this->evaluations;
-    this->best_so_far_raw_objectives = this->raw_objectives;
-    this->best_so_far_raw_evaluations = this->evaluations;
-  }
-
-  if (compareVector(this->transformed_objectives,this->optimal)) {
-    this->optimalFound = true;
-  }
-
-  return this->transformed_objectives[0];
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::calc_optimal() {
-  if (this->best_variables.size() == this->number_of_variables) {
-    if (this->number_of_objectives == 1) {
-      if(this->problem_type == "bbob") {
-        Coco_Transformation_Data::raw_x.clear();
-        for (int i = 0; i != this->best_variables.size(); ++i) {
-          Coco_Transformation_Data::raw_x.push_back(this->best_variables[i]);
-        }
-      }
-      this->optimal[0] = internal_evaluate(this->best_variables);
-    } else {
-      IOH_warning("Multi-objectives optimization is not supported now.");
-    }
-    transformation.objectives_transformation(this->best_variables,this->optimal,this->problem_id,this->instance_id,this->problem_type);
-  }
-  else {
-    this->optimal.clear();
-    for (int i = 0; i < this->number_of_objectives; ++i) {
-      if (this->maximization_minimization_flag == IOH_optimization_type::Maximization) {
-        this->optimal.push_back(std::numeric_limits<double>::max());
-      } else {
-        this->optimal.push_back(std::numeric_limits<double>::lowest());
-      }
-    }
-    customize_optimal();
-  }
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::reset_problem() {
-  this->evaluations = 0;
-  this->best_so_far_raw_evaluations = 0;
-  this->best_so_far_transformed_evaluations = 0;
-  this->optimalFound = false;
-  for (int i = 0; i !=  this->number_of_objectives; ++i) {
-    if (this->maximization_minimization_flag == IOH_optimization_type::Maximization) {
-      this->best_so_far_raw_objectives[i] = std::numeric_limits<double>::lowest();
-      this->best_so_far_transformed_objectives[i] = std::numeric_limits<double>::lowest();
-    } else {
-      this->best_so_far_raw_objectives[i] = std::numeric_limits<double>::max();
-      this->best_so_far_transformed_objectives[i] = std::numeric_limits<double>::max();
-    }
-  }
-  this->prepare_problem();
-  this->calc_optimal();
-}
-
-template <class InputType> std::vector<double> IOHprofiler_problem<InputType>::loggerCOCOInfo() const{
-  std::vector<double> logger_info(5);
-  logger_info[0] = (double)this->evaluations;
-  logger_info[1] = this->transformed_objectives[0] - this->optimal[0];
-  logger_info[2] = this->best_so_far_transformed_objectives[0] - this->optimal[0];
-  logger_info[3] = this->transformed_objectives[0];
-  logger_info[4] = this->best_so_far_transformed_objectives[0];
-
-  return logger_info;
-}
-
-template <class InputType> std::vector<double> IOHprofiler_problem<InputType>::loggerInfo() const{
-  std::vector<double> logger_info(5);
-  logger_info[0] = (double)this->evaluations;
-  logger_info[1] = this->raw_objectives[0];
-  logger_info[2] = this->best_so_far_raw_objectives[0];
-  logger_info[3] = this->transformed_objectives[0];
-  logger_info[4] = this->best_so_far_transformed_objectives[0];
-  return logger_info;
-}
-
-template <class InputType> bool IOHprofiler_problem<InputType>::IOHprofiler_hit_optimal() const {
-  return this->optimalFound;
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_problem_id() const {
-  return this->problem_id;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_problem_id(int problem_id){
-  this->problem_id = problem_id;
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_instance_id() const {
-  return this->instance_id;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_instance_id(int instance_id) {
-  this->instance_id = instance_id;
-  this->prepare_problem();
-  this->calc_optimal();
-}
-
-template <class InputType> std::string IOHprofiler_problem<InputType>::IOHprofiler_get_problem_name() const {
-  return this->problem_name;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_problem_name(std::string problem_name) {
-  this->problem_name = problem_name;
-}
-
-template <class InputType> std::string IOHprofiler_problem<InputType>::IOHprofiler_get_problem_type() const {
-  return this->problem_type;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_problem_type(std::string problem_type) {
-  this->problem_type = problem_type;
-}
-
-template <class InputType> std::vector<InputType> IOHprofiler_problem<InputType>::IOHprofiler_get_lowerbound() const {
-  return this->lowerbound;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_lowerbound(int lowerbound) {
-  std::vector<InputType>().swap(this->lowerbound);
-  this->lowerbound.reserve(this->number_of_variables);
-  for (int i = 0; i < this->number_of_variables; ++i) {
-    this->lowerbound.push_back(lowerbound);
-  }
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_lowerbound(const std::vector<InputType> &lowerbound) {
-  this->lowerbound = lowerbound;
-}
-
-template <class InputType> std::vector<InputType> IOHprofiler_problem<InputType>::IOHprofiler_get_upperbound() const {
-  return this->upperbound;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_upperbound(int upperbound) {
-  std::vector<InputType>().swap(this->upperbound);
-  this->upperbound.reserve(this->number_of_variables);
-  for (int i = 0; i < this->number_of_variables; ++i) {
-    this->upperbound.push_back(upperbound);
-  }
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_upperbound(const std::vector<InputType> &upperbound) {
-  this->upperbound = upperbound;
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_number_of_variables() const {
-  return this->number_of_variables;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_number_of_variables(const int number_of_variables) {
-  this->number_of_variables = number_of_variables;
-  if (this->best_variables.size() != 0) {
-    this->IOHprofiler_set_best_variables(this->best_variables[0]);
-  }
-  if (this->lowerbound.size() != 0) {
-    this->IOHprofiler_set_lowerbound(this->lowerbound[0]);
-  }
-  if (this->upperbound.size() != 0) {
-    this->IOHprofiler_set_upperbound(this->upperbound[0]);
-  }
-  this->prepare_problem();
-  this->calc_optimal();
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_number_of_variables(const int number_of_variables, const std::vector<InputType> &best_variables) {
-  this->number_of_variables = number_of_variables;
-  this->best_variables = best_variables;
-  if (this->lowerbound.size() != 0) {
-    this->IOHprofiler_set_lowerbound(this->lowerbound[0]);
-  }
-  if (this->upperbound.size() != 0) {
-    this->IOHprofiler_set_upperbound(this->upperbound[0]);
-  }
-  this->prepare_problem();
-  this->calc_optimal();
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_number_of_objectives() const {
-  return this->number_of_objectives;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_number_of_objectives(const int number_of_objectives) {
-  this->number_of_objectives = number_of_objectives;
-  this->raw_objectives = std::vector<double>(this->number_of_objectives);
-  this->transformed_objectives = std::vector<double>(this->number_of_objectives);
-  if (this->maximization_minimization_flag == IOH_optimization_type::Maximization) {
-    this->best_so_far_raw_objectives = std::vector<double>(this->number_of_objectives,std::numeric_limits<double>::lowest());
-    this->best_so_far_transformed_objectives = std::vector<double>(this->number_of_objectives,std::numeric_limits<double>::lowest());
-  } else {
-    this->best_so_far_raw_objectives = std::vector<double>(this->number_of_objectives,std::numeric_limits<double>::max());
-    this->best_so_far_transformed_objectives = std::vector<double>(this->number_of_objectives,std::numeric_limits<double>::max());
-  }
-  this->optimal = std::vector<double>(this->number_of_objectives);
-}
-
-template <class InputType> std::vector<double> IOHprofiler_problem<InputType>::IOHprofiler_get_raw_objectives() const {
-  return this->raw_objectives;
-}
-
-template <class InputType> std::vector<double> IOHprofiler_problem<InputType>::IOHprofiler_get_transformed_objectives() const {
-  return this->transformed_objectives;
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_transformed_number_of_variables() const {
-  return this->transformed_number_of_variables;
-}
-
-template <class InputType> std::vector<InputType> IOHprofiler_problem<InputType>::IOHprofiler_get_transformed_variables() const {
-  return this->transformed_variables;
-}
-
-template <class InputType> std::vector<InputType> IOHprofiler_problem<InputType>::IOHprofiler_get_best_variables() const {
-  return this->best_variables;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_best_variables(const InputType best_variables) {
-  this->best_variables.clear();
-  for (int i = 0; i < this->number_of_variables; ++i) {
-    this->best_variables.push_back(best_variables);
-  }
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_best_variables(const std::vector<InputType> &best_variables) {
-  this->best_variables = best_variables;
-}
-
-template <class InputType> std::vector<double> IOHprofiler_problem<InputType>::IOHprofiler_get_optimal() const {
-  return this->optimal;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_optimal(const double optimal) {
-  std::vector<double>().swap(this->optimal);
-  this->optimal.reserve(this->number_of_objectives);
-  for (int i = 0; i < this->number_of_objectives; ++i) {
-    this->optimal.push_back(optimal);
-  }
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_optimal(const std::vector<double> &optimal) {
-  this->optimal = optimal;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_evaluate_optimal(std::vector<InputType> best_variables) {
-  this->optimal[0] = this->evaluate(best_variables);
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_evaluate_optimal() {
-  this->optimal[0] = this->evaluate(this->best_variables);
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_evaluations() const {
-  return this->evaluations;
-}
-
-template <class InputType> std::vector<double> IOHprofiler_problem<InputType>::IOHprofiler_get_best_so_far_raw_objectives() const {
-  return this->best_so_far_raw_objectives;
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_best_so_far_raw_evaluations() const {
-  return this-> best_so_far_raw_evaluations;
-}
-
-template <class InputType> std::vector<double> IOHprofiler_problem<InputType>::IOHprofiler_get_best_so_far_transformed_objectives() const {
-  return this->best_so_far_transformed_objectives;
-}
-
-template <class InputType> int IOHprofiler_problem<InputType>::IOHprofiler_get_best_so_far_transformed_evaluations() const {
-  return this->best_so_far_transformed_evaluations;
-}
-
-template <class InputType> IOH_optimization_type IOHprofiler_problem<InputType>::IOHprofiler_get_optimization_type() const {
-  return this->maximization_minimization_flag;
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_as_maximization() {
-  this->maximization_minimization_flag = IOH_optimization_type::Maximization;
-  for (int i = 0; i !=  this->number_of_objectives; ++i) {
-    this->best_so_far_raw_objectives[i] = std::numeric_limits<double>::lowest();
-    this->best_so_far_transformed_objectives[i] = std::numeric_limits<double>::lowest();
-  }
-}
-
-template <class InputType> void IOHprofiler_problem<InputType>::IOHprofiler_set_as_minimization() {
-  this->maximization_minimization_flag = IOH_optimization_type::Minimization;
-  for (int i = 0; i !=  this->number_of_objectives; ++i) {
-    this->best_so_far_raw_objectives[i] = std::numeric_limits<double>::max();
-    this->best_so_far_transformed_objectives[i] = std::numeric_limits<double>::max();
-  }
-}
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_random.cpp.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_random.cpp.html deleted file mode 100644 index fb65d099d..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_random.cpp.html +++ /dev/null @@ -1,350 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_random.cpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - -
- - - - - -
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- - -
-
-
-
- -
-

Program Listing for File IOHprofiler_random.cpp

-

Return to documentation for file (src/Template/IOHprofiler_random.cpp)

-
#include "IOHprofiler_random.h"
-
-long IOHprofiler_random::a = RND_MULTIPLIER;
-long IOHprofiler_random::m = RND_MODULUS;
-long IOHprofiler_random::q = RND_MODULUS_DIV;
-long IOHprofiler_random::r = RND_MOD_MULTIPLIER;
-
-int IOHprofiler_random::IOHprofiler_SHORT_LAG  = IOHPROFILER_SHORT_LAG;
-int IOHprofiler_random::IOHprofiler_LONG_LAG = IOHPROFILER_LONG_LAG;
-
-IOHprofiler_random::IOHprofiler_random(uint32_t seed) {
-  for (int i = 0; i < IOHprofiler_LONG_LAG; ++i) {
-    x[i] = ((double)seed) / (double)(((uint64_t)1UL << 32) - 1);
-    seed = (uint32_t)1812433253UL * (seed ^ (seed >> 30)) + ((uint32_t)i + 1);
-  }
-  _seed_index = 0;
-}
-
-void IOHprofiler_random::IOHprofiler_random_generate() {
-  for (int i = 0; i < IOHprofiler_SHORT_LAG; ++i) {
-      double t = this->x[i] + this->x[i + (IOHprofiler_LONG_LAG - IOHprofiler_SHORT_LAG)];
-      if (t >= 1.0)
-          t -= 1.0;
-      this->x[i] = t;
-  }
-  for (int i = IOHprofiler_SHORT_LAG; i < IOHprofiler_LONG_LAG; ++i) {
-      double t = this->x[i] + this->x[i - IOHprofiler_SHORT_LAG];
-      if (t >= 1.0)
-          t -= 1.0;
-      this->x[i] = t;
-  }
-  this->_seed_index = 0;
-}
-
-long IOHprofiler_random::_lcg_rand(const long &inseed) {
-
-  long new_inseed =  (long)(a * (inseed - (long)floor((double)inseed / (double)q) * q) - r * (long)floor((double)inseed / (double)q));
-  if (new_inseed < 0) {
-    new_inseed = new_inseed + m;
-  }
-  return new_inseed;
-}
-
-void IOHprofiler_random::IOHprofiler_uniform_rand(const size_t &N, const long &inseed, std::vector<double> &rand_vec) {
-  if (rand_vec.size() != 0) {
-    std::vector<double>().swap(rand_vec);
-  }
-  rand_vec.reserve(N);
-
-  long rand_seed[32];
-  long seed;
-  long rand_value;
-
-  seed = inseed;
-  if (seed < 0) {
-    seed = -seed;
-  }
-  if (seed < 1) {
-    seed = 1;
-  }
-
-  seed = inseed;
-  for (int i = 39; i >= 0; --i) {
-    seed = _lcg_rand(seed);
-    if(i < 32) {
-      rand_seed[i] = seed;
-    }
-  }
-
-  int seed_index = 0;
-  seed = rand_seed[0];
-  for (int i = 0; i < N; ++i) {
-    rand_value = _lcg_rand(seed);
-
-    seed_index = (int)floor((double)seed / (double)67108865);
-    seed = rand_seed[seed_index];
-    rand_seed[seed_index] = rand_value;
-
-    rand_vec.push_back((double)seed/2.147483647e9);
-    if (rand_vec[i] == 0.) {
-      rand_vec[i] = 1e-99;
-    }
-  }
-}
-
-std::vector<double> IOHprofiler_random::IOHprofiler_gauss(const size_t N, const long inseed) {
-  std::vector<double> rand_vec;
-  std::vector<double> uniform_rand_vec;
-  rand_vec.reserve(N);
-
-  long seed;
-  long rand_value;
-
-  seed = inseed;
-  if (seed < 0) {
-    seed = -seed;
-  }
-  if (seed < 1) {
-    seed = 1;
-  }
-
-  IOHprofiler_uniform_rand(2 * N, seed,uniform_rand_vec);
-
-  for (int i = 0; i < N; i++) {
-    rand_vec.push_back(sqrt(-2 * log(uniform_rand_vec[i])) * cos(2 * IOH_PI * uniform_rand_vec[N + i]));
-    if (rand_vec[i] == 0.) {
-      rand_vec[i] = 1e-99;
-    }
-  }
-  return rand_vec;
-}
-
-double IOHprofiler_random::IOHprofiler_uniform_rand() {
-  if (this->_seed_index >= IOHprofiler_LONG_LAG) {
-    IOHprofiler_random_generate();
-  }
-  return this->x[this->_seed_index++];
-}
-
-double IOHprofiler_random::IOHprofiler_normal_rand() { /* OMS: accessor - should become const */
-  // double normal;
-  // normal = 0.0;
-  // for (int i = 0; i < 12; ++i) {
-  //     normal += this->IOHprofiler_uniform_rand();
-  // }
-  // normal -= 6.0;
-  // return normal;
-  double normal;
-#ifdef IOHprofiler_NORMAL_POLAR
-  const double u1 = this->IOHprofiler_uniform_rand();
-  const double u2 = this->IOHprofiler_uniform_rand();
-  normal = sqrt(-2 * log(u1)) * cos(2 * IOH_PI * u2);
-#else
-  int i;
-  normal = 0.0;
-  for (i = 0; i < 12; ++i) {
-      normal += this->IOHprofiler_uniform_rand();
-  }
-  normal -= 6.0;
-#endif
-  return normal;
-}
-
-
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_random.h.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_random.h.html deleted file mode 100644 index f72aae7c6..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_random.h.html +++ /dev/null @@ -1,256 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_random.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
-
- -
-

Program Listing for File IOHprofiler_random.h

-

Return to documentation for file (src/Template/IOHprofiler_random.h)

-
#ifndef _IOHPROFILER_RANDOM_H
-#define _IOHPROFILER_RANDOM_H
-
-#include "IOHprofiler_common.h"
-#define IOHprofiler_NORMAL_POLAR /* Use polar transformation method */
-
-#define IOH_PI 3.14159265358979323846
-#define DEFAULT_SEED 1000
-
-
-#define RND_MULTIPLIER 16807
-#define RND_MODULUS 2147483647
-#define RND_MODULUS_DIV 127773
-#define RND_MOD_MULTIPLIER 2836
-
-#define IOHPROFILER_SHORT_LAG  273
-#define IOHPROFILER_LONG_LAG 607
-
-class IOHprofiler_random {
-public:
-  IOHprofiler_random(uint32_t seed = DEFAULT_SEED);
-
-  void IOHprofiler_random_generate();
-
-  static long _lcg_rand(const long &inseed);
-
-  static void IOHprofiler_uniform_rand(const size_t &N, const long &inseed, std::vector<double> &rand_vec);
-
-  static std::vector<double> IOHprofiler_gauss(const size_t N, const long inseed);
-
-  double IOHprofiler_uniform_rand();
-
-  double IOHprofiler_normal_rand();
-
-private:
-  size_t _seed_index;
-
-  static long a;
-  static long m;
-  static long q;
-  static long r;
-
-  static int IOHprofiler_SHORT_LAG;
-  static int IOHprofiler_LONG_LAG;
-  double x[607];
-};
-
-#endif // _IOHPROFILER_RANDOM_H
-
-
-
- - -
- -
- - -
-
- -
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_suite.h.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_suite.h.html deleted file mode 100644 index 460e99fe2..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_suite.h.html +++ /dev/null @@ -1,299 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_suite.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - -
-
-
-
- -
-

Program Listing for File IOHprofiler_suite.h

-

Return to documentation for file (src/Template/IOHprofiler_suite.h)

-
#ifndef _IOHPROFILER_SUITE_H
-#define _IOHPROFILER_SUITE_H
-
-#include "IOHprofiler_class_generator.h"
-#include "IOHprofiler_problem.h"
-
-typedef std::map<std::string, int> PROBLEM_NAME_ID;
-typedef std::map<int, std::string> PROBLEM_ID_NAME;
-
-template <class InputType> class IOHprofiler_suite : public IOHprofiler_problem<InputType>, public std::vector<std::shared_ptr<IOHprofiler_problem<InputType> > > {
-public:
-  IOHprofiler_suite(std::vector<int> problem_id = std::vector<int>(0), std::vector<int> instance_id = std::vector<int>(0), std::vector<int> dimension = std::vector<int>(0)) :
-    suite_name("no suite"),
-    problem_list_index(0),
-    size_of_problem_list(0),
-    get_problem_flag(false),
-    load_problem_flag(false),
-    current_problem(nullptr) {
-    }
-  ~IOHprofiler_suite() {}
-
-  IOHprofiler_suite(const IOHprofiler_suite&) = delete;
-  IOHprofiler_suite &operator =(const IOHprofiler_suite&) = delete;
-
-  typedef std::shared_ptr<IOHprofiler_problem<InputType> > Problem_ptr;
-
-  virtual void registerInSuite() {}
-
-  void loadProblem();
-
-  Problem_ptr get_next_problem();
-
-  Problem_ptr get_current_problem();
-
-
-  Problem_ptr get_problem(std::string problem_name, int instance, int dimension);
-
-  Problem_ptr get_problem(int problem_id, int instance, int dimension);
-
-  int IOHprofiler_suite_get_number_of_problems() const;
-
-  int IOHprofiler_suite_get_number_of_instances() const;
-
-  int IOHprofiler_suite_get_number_of_dimensions() const;
-
-  std::vector<int> IOHprofiler_suite_get_problem_id() const;
-
-  std::map<int, std::string> IOHprofiler_suite_get_problem_name() const;
-
-  std::map<std::string, int> IOHprofiler_suite_get_problems() const;
-
-  std::vector<int> IOHprofiler_suite_get_instance_id() const;
-
-  std::vector<int> IOHprofiler_suite_get_dimension() const;
-
-  std::string IOHprofiler_suite_get_suite_name() const;
-
-  void IOHprofiler_set_suite_problem_id(const std::vector<int> &problem_id);
-
-  void IOHprofiler_set_suite_instance_id(const std::vector<int> &instance_id);
-
-  void IOHprofiler_set_suite_dimension(const std::vector<int> &dimension);
-
-  void IOHprofiler_set_suite_name(const std::string suite_name);
-
-  void mapIDTOName(const int id, const std::string name);
-
-private:
-  std::string suite_name;
-  int number_of_problems;
-  int number_of_instances;
-  int number_of_dimensions;
-
-  std::vector<int> problem_id;
-  std::vector<int> instance_id;
-  std::vector<int> dimension;
-
-  PROBLEM_ID_NAME problem_id_name_map;
-  PROBLEM_NAME_ID problem_name_id_map;
-
-  size_t problem_list_index;
-  size_t size_of_problem_list;
-  bool get_problem_flag;
-  bool load_problem_flag;
-
-  Problem_ptr current_problem;
-};
-
-#include "IOHprofiler_suite.hpp"
-
-#endif // _IOHPROFILER_SUITE_HPP
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_suite.hpp.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_suite.hpp.html deleted file mode 100644 index cc1335096..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_suite.hpp.html +++ /dev/null @@ -1,344 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_suite.hpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
-
-
- -
-

Program Listing for File IOHprofiler_suite.hpp

-

Return to documentation for file (src/Template/IOHprofiler_suite.hpp)

-
template <class InputType> void IOHprofiler_suite<InputType>::loadProblem() {
-  if (this->size() != 0) {
-    this->clear();
-  }
-  this->size_of_problem_list = this->number_of_dimensions * this->number_of_instances * this->number_of_problems;
-  this->problem_list_index = 0;
-
-  for (int i = 0; i != this->number_of_problems; ++i) {
-    for (int j = 0; j != this->number_of_dimensions; ++j) {
-      for (int h = 0; h != this->number_of_instances; ++h) {
-        Problem_ptr p = get_problem(this->problem_id_name_map[this->problem_id[i]],
-                                      this->instance_id[h],
-                                      this->dimension[j]);
-        this->push_back(p);
-      }
-    }
-  }
-  this->get_problem_flag = false;
-  this->load_problem_flag = true;
-}
-
-template <class InputType> std::shared_ptr<IOHprofiler_problem<InputType> > IOHprofiler_suite<InputType>::get_next_problem() {
-  if (this->load_problem_flag == false) {
-    this->loadProblem();
-  }
-
-  if (this->size_of_problem_list == 0) {
-    IOH_warning("There is no problem in the suite");
-    return nullptr;
-  }
-
-  if (this->problem_list_index == this->size_of_problem_list - 1 && this->get_problem_flag == true) {
-    return nullptr;
-  }
-
-  if (this->get_problem_flag == false) {
-    this->get_problem_flag = true;
-  } else {
-    this->problem_list_index++;
-  }
-  this->current_problem = (*this)[problem_list_index];
-
-  this->current_problem->reset_problem();
-  return this->current_problem;
-}
-
-template <class InputType> std::shared_ptr<IOHprofiler_problem<InputType> > IOHprofiler_suite<InputType>::get_current_problem() {
-  if (this->load_problem_flag == false) {
-    this->loadProblem();
-  }
-
-  if (this->get_problem_flag == false) {
-    this->get_problem_flag = true;
-  }
-  this->current_problem = (*this)[this->problem_list_index];
-  this->current_problem->reset_problem();
-  return this->current_problem;
-}
-
-template <class InputType> std::shared_ptr<IOHprofiler_problem<InputType> > IOHprofiler_suite<InputType>::get_problem(std::string problem_name, int instance, int dimension) {
-  Problem_ptr p = genericGenerator<IOHprofiler_problem<InputType> >::instance().create(problem_name);
-  p->reset_problem();
-  p->IOHprofiler_set_problem_id(this->problem_name_id_map[problem_name]);
-  p->IOHprofiler_set_instance_id(instance);
-  p->IOHprofiler_set_number_of_variables(dimension);
-  return p;
-}
-
-template <class InputType> std::shared_ptr<IOHprofiler_problem<InputType> > IOHprofiler_suite<InputType>::get_problem(int problem_id, int instance, int dimension) {
-  Problem_ptr p = genericGenerator<IOHprofiler_problem<InputType> >::instance().create(this->problem_id_name_map[problem_id]);
-  p->reset_problem();
-  p->IOHprofiler_set_problem_id(problem_id);
-  p->IOHprofiler_set_instance_id(instance);
-  p->IOHprofiler_set_number_of_variables(dimension);
-  return p;
-}
-
-template <class InputType> int IOHprofiler_suite<InputType>::IOHprofiler_suite_get_number_of_problems() const {
-  return this->number_of_problems;
-}
-
-template <class InputType> int IOHprofiler_suite<InputType>::IOHprofiler_suite_get_number_of_instances() const {
-  return this->number_of_instances;
-}
-
-template <class InputType> int IOHprofiler_suite<InputType>::IOHprofiler_suite_get_number_of_dimensions() const {
-  return this->number_of_dimensions;
-}
-
-template <class InputType> std::vector<int> IOHprofiler_suite<InputType>::IOHprofiler_suite_get_problem_id() const {
-  return this->problem_id;
-}
-
-template <class InputType> std::map<int, std::string> IOHprofiler_suite<InputType>::IOHprofiler_suite_get_problem_name() const {
-  return this->problem_id_name_map;
-}
-
-template <class InputType> std::map<std::string, int> IOHprofiler_suite<InputType>::IOHprofiler_suite_get_problems() const {
-  return this->problem_name_id_map;
-}
-
-template <class InputType> std::vector<int> IOHprofiler_suite<InputType>::IOHprofiler_suite_get_instance_id() const {
-  return this->instance_id;
-}
-
-template <class InputType> std::vector<int> IOHprofiler_suite<InputType>::IOHprofiler_suite_get_dimension() const {
-  return this->dimension;
-}
-
-template <class InputType> std::string IOHprofiler_suite<InputType>::IOHprofiler_suite_get_suite_name() const {
-  return this->suite_name;
-}
-
-template <class InputType> void IOHprofiler_suite<InputType>::IOHprofiler_set_suite_problem_id(const std::vector<int> &problem_id) {
-  copyVector(problem_id,this->problem_id);
-  this->number_of_problems = this->problem_id.size();
-}
-
-template <class InputType> void IOHprofiler_suite<InputType>::IOHprofiler_set_suite_instance_id(const std::vector<int> &instance_id) {
-  copyVector(instance_id,this->instance_id);
-  this->number_of_instances = this->instance_id.size();
-}
-
-template <class InputType> void IOHprofiler_suite<InputType>::IOHprofiler_set_suite_dimension(const std::vector<int> &dimension) {
-  copyVector(dimension,this->dimension);
-  this->number_of_dimensions = this->dimension.size();
-}
-
-template <class InputType> void IOHprofiler_suite<InputType>::IOHprofiler_set_suite_name(const std::string suite_name) {
-  this->suite_name = suite_name;
-}
-
-template <class InputType> void IOHprofiler_suite<InputType>::mapIDTOName(const int id, const std::string name){
-  problem_id_name_map[id] = name;
-  problem_name_id_map[name] = id;
-}
-
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-

Program Listing for File IOHprofiler_transformation.cpp

-

Return to documentation for file (src/Template/IOHprofiler_transformation.cpp)

-
#include "IOHprofiler_transformation.h"
-
-void IOHprofiler_transformation::variables_transformation(std::vector<int> &x, const int problem_id, const int instance_id, const std::string problem_type) {
-  if (problem_type == "pseudo_Boolean_problem") {
-    if (instance_id > 1 && instance_id <= 50) {
-      this->transform_vars_xor(x,instance_id);
-    } else if (instance_id > 50 && instance_id <= 100) {
-      this->transform_vars_sigma(x,instance_id);
-    }
-  }
-}
-
-void IOHprofiler_transformation::variables_transformation(std::vector<double> &x, const int problem_id, const int instance_id, const std::string problem_type) {
-  if (problem_type == "bbob") {
-    coco_tranformation_vars(x,problem_id);
-  }
-}
-
-void IOHprofiler_transformation::objectives_transformation(const std::vector<int> &x, std::vector<double> &y, const int problem_id, const int instance_id, const std::string problem_type) {
-  if (problem_type == "pseudo_Boolean_problem") {
-    if (instance_id > 1) {
-      this->transform_obj_scale(y,instance_id);
-      this->transform_obj_shift(y,instance_id);
-    }
-  }
-}
-
-void IOHprofiler_transformation::objectives_transformation(const std::vector<double> &x, std::vector<double> &y, const int problem_id, const int instance_id, const std::string problem_type) {
-  if (problem_type == "bbob") {
-    coco_tranformation_objs(x,y,problem_id);
-  }
-}
-
-int IOHprofiler_transformation::xor_compute(const int x1, const int x2){
-  return (int) (x1 != x2);
-}
-
-void IOHprofiler_transformation::transform_vars_xor(std::vector<int> &x, const int seed) {
-  std::vector<double> random_x;
-  int xor_value;
-  int n = x.size();
-  IOHprofiler_random::IOHprofiler_uniform_rand(n,seed, random_x);
-  for (int i = 0; i < n; ++i) {
-    xor_value = (int)(2 * floor(1e4 * random_x[i]) / 1e4);
-    x[i] = xor_compute(x[i],xor_value);
-  }
-}
-
-int IOHprofiler_transformation::sigma_compute(const std::vector<int> &x, const int pos) {
-  return x[pos];
-}
-
-void IOHprofiler_transformation::transform_vars_sigma(std::vector<int> &x, const int seed) {
-  std::vector<int> copy_x;
-  std::vector<int> index;
-  std::vector<double> random_x;
-  int N = x.size(),t,temp;
-
-  copy_x = x;
-
-  index.reserve(N);
-  for (int i = 0; i != N; ++i) {
-    index.push_back(i);
-  }
-
-  IOHprofiler_random::IOHprofiler_uniform_rand(N,seed,random_x);
-  for (int i = 0; i != N; ++i) {
-    t = (int)floor(random_x[i] * N);
-    temp = index[0];
-    index[0] = index[t];
-    index[t] = temp;
-  }
-  for (int i = 0; i < N; ++i) {
-    x[i] = sigma_compute(copy_x,index[i]);
-  }
-}
-
-void IOHprofiler_transformation::transform_obj_scale(std::vector<double> &y, const int seed) {
-  std::vector<double> scale;
-  IOHprofiler_random::IOHprofiler_uniform_rand(1,seed,scale);
-  scale[0] = scale[0] * 1e4 / 1e4 * 4.8 + 0.2;
-  for (int i = 0; i < y.size(); ++i) {
-    y[i] = y[i] * scale[0];
-  }
-}
-
-void IOHprofiler_transformation::transform_obj_shift(std::vector<double> &y, const int seed) {
-  std::vector<double> shift;
-  IOHprofiler_random::IOHprofiler_uniform_rand(1,seed,shift);
-  shift[0] = shift[0] * 1e4 / 1e4 * 2000 - 1000;
-  for (int i = 0; i < y.size(); ++i) {
-    y[i] = y[i] + shift[0];
-  }
-}
-
-void IOHprofiler_transformation::transform_obj_scale(double &y, const int seed) {
-  std::vector<double> scale;
-  IOHprofiler_random::IOHprofiler_uniform_rand(1,seed,scale);
-  scale[0] = scale[0] * 1e4 / 1e4 * 4.8 + 0.2;
-  y = y * scale[0];
-}
-
-void IOHprofiler_transformation::transform_obj_shift(double &y, const int seed) {
-  std::vector<double> shift;
-  IOHprofiler_random::IOHprofiler_uniform_rand(1,seed,shift);
-  shift[0] = shift[0] * 1e4 / 1e4 * 2000 - 1000;
-  y = y + shift[0];
-}
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_transformation.h.html b/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_transformation.h.html deleted file mode 100644 index 301dbb916..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_IOHprofiler_transformation.h.html +++ /dev/null @@ -1,244 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_transformation.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-
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-

Program Listing for File IOHprofiler_transformation.h

-

Return to documentation for file (src/Template/IOHprofiler_transformation.h)

-
#ifndef IOHPROFILER_TRANSFORMATION_H
-#define IOHPROFILER_TRANSFORMATION_H
-
-#include "IOHprofiler_common.h"
-#include "IOHprofiler_random.h"
-#include "coco_transformation.hpp"
-
-class IOHprofiler_transformation {
-public:
-
-  void variables_transformation(std::vector<int> &x, const int problem_id, const int instance_id, const std::string problem_type);
-
-  void variables_transformation(std::vector<double> &x, const int problem_id, const int instance_id, const std::string problem_type);
-
-  void objectives_transformation(const std::vector<int> &x, std::vector<double> &y, const int problem_id, const int instance_id, const std::string problem_type);
-
-  void objectives_transformation(const std::vector<double> &x, std::vector<double> &y, const int problem_id, const int instance_id, const std::string problem_type);
-
-  static int xor_compute(const int x1, const int x2);
-
-  void transform_vars_xor(std::vector<int> &x, const int seed);
-
-  static int sigma_compute(const std::vector<int> &x, const int pos);
-
-  void transform_vars_sigma(std::vector<int> &x, const int seed);
-
-  void transform_obj_scale(std::vector<double> &y, const int seed);
-
-  void transform_obj_shift(std::vector<double> &y, const int seed);
-
-  void transform_obj_scale(double &y, const int seed);
-
-  void transform_obj_shift(double &y, const int seed);
-};
-
-#endif //IOHPROFILER_TRANSFORMATION_H
-
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- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_Loggers_IOHprofiler_csv_logger.cpp.html b/docs/_build/html/api/program_listing_file_src_Template_Loggers_IOHprofiler_csv_logger.cpp.html deleted file mode 100644 index 221b97cb1..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_Loggers_IOHprofiler_csv_logger.cpp.html +++ /dev/null @@ -1,896 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_csv_logger.cpp — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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-

Program Listing for File IOHprofiler_csv_logger.cpp

-

Return to documentation for file (src/Template/Loggers/IOHprofiler_csv_logger.cpp)

-
#include "IOHprofiler_csv_logger.h"
-
-IOHprofiler_csv_logger::IOHprofiler_csv_logger() {
-  this->output_directory = "./";
-  this->folder_name = "IOHprofiler_test";
-  this->algorithm_name =  "algorithm";
-  this->algorithm_info = "algorithm_info";
-}
-
-IOHprofiler_csv_logger::IOHprofiler_csv_logger(std::string directory, std::string folder_name,
-                        std::string alg_name, std::string alg_info) {
-  this->output_directory = directory;
-  this->folder_name = folder_name;
-  this->algorithm_name =  alg_name;
-  this->algorithm_info = alg_info;
-}
-
-IOHprofiler_csv_logger::~IOHprofiler_csv_logger() {
-  this->clear_logger();
-}
-
-bool IOHprofiler_csv_logger::folder_exist(std::string folder_name) {
-  // #if defined(_WIN32) || defined(_WIN64) || defined(__MINGW64__) || defined(__CYGWIN__)
-  //   DWORD ftyp = GetFileAttributesA(folder_name.c_str());
-  //   if (ftyp & FILE_ATTRIBUTE_DIRECTORY)
-  //     return true;
-  //   else
-  //     return false;
-  // #else
-  //   std::fstream _file;
-  //   _file.open(folder_name, std::ios::in);
-  //   if(!_file) {
-  //     return false;
-  //   } else {
-  //     return true;
-  //   }
-  // #endif
-
-  // Check for existence.
-  #if defined(_WIN32) || defined(_WIN64) || defined(__MINGW64__) || defined(__CYGWIN__)
-    if( _access(folder_name.c_str(), 0 ) != -1 ) {
-      // Check for write permission.
-      // Assume file is read-only.
-      if( _access(folder_name.c_str(), 2 ) == -1 )
-        return false;
-      else
-        return true;
-    } else {
-      return false;
-    }
-  #else
-    if( access(folder_name.c_str(), F_OK ) == 0) {
-      if( access(folder_name.c_str(), W_OK ) == 0)
-        return true;
-      else
-        return false;
-    } else {
-      return false;
-    }
-  #endif
-}
-
-void IOHprofiler_csv_logger::activate_logger() {
-  openIndex();
-}
-
-int IOHprofiler_csv_logger::openIndex() {
-  std::string experiment_folder_name = IOHprofiler_experiment_folder_name();
-  return IOHprofiler_create_folder(experiment_folder_name);
-}
-
-int IOHprofiler_csv_logger::IOHprofiler_create_folder(std::string folder_name) {
-#if defined(_WIN32) || defined(_WIN64) || defined(__MINGW64__) || defined(__CYGWIN__)
-  if (mkdir(folder_name.c_str()) == 0) {
-#else
-  if (mkdir(folder_name.c_str(),S_IRWXU) == 0) {
-#endif
-    return 1;
-  } else {
-    IOH_error("Error on creating directory" + folder_name);
-    return 0;
-  }
-}
-
-std::string IOHprofiler_csv_logger::IOHprofiler_experiment_folder_name() {
-  std::string renamed_directory = this->output_directory + IOHprofiler_path_separator + this->folder_name;
-  std::string temp_folder_name = this->folder_name;
-  int index = 0;
-  //while (fs::exists(renamed_directory.c_str())) {
-  while (folder_exist(renamed_directory) ) {
-    ++index;
-    temp_folder_name = this->folder_name  + '-' + _toString(index);
-    renamed_directory = this->output_directory + IOHprofiler_path_separator + temp_folder_name;
-  }
-  this->folder_name = temp_folder_name;
-  return renamed_directory;
-}
-
-void IOHprofiler_csv_logger::write_header() {
-  std::string sub_directory_name = this->output_directory + IOHprofiler_path_separator
-                        + this->folder_name + IOHprofiler_path_separator
-                        + "data_f" + _toString(problem_id)
-                        + "_" + problem_name;
-
-  std::string dat_header = "\"function evaluation\" \"current f(x)\" \"best-so-far f(x)\" \"current af(x)+b\"  \"best af(x)+b\"";
-  if(this->logging_parameters.size() != 0) {
-    for (std::map<std::string, std::shared_ptr<double> >::iterator iter = this->logging_parameters.begin(); iter != this->logging_parameters.end(); ++iter) {
-      dat_header = dat_header + " \"" + iter->first + "\"";
-    }
-  }
-
-  // if (!fs::exists(sub_directory_name.c_str())) {
-  if (!folder_exist(sub_directory_name)) {
-    IOHprofiler_create_folder(sub_directory_name.c_str());
-  }
-
-  if (complete_status()) {
-    std::string cdat_name = sub_directory_name + IOHprofiler_path_separator
-                          + "IOHprofiler_f" + _toString(problem_id) + "_DIM"
-                          + _toString(dimension) + ".cdat";
-
-    if (this->cdat.is_open()) {
-      this->cdat.close();
-    }
-    this->cdat.open(cdat_name.c_str(),std::ofstream::out | std::ofstream::app);
-    //this->cdat << dat_header << '\n';
-    this->cdat_buffer = "";
-    this->write_in_buffer(dat_header+"\n",this->cdat_buffer,this->cdat);
-  }
-
-  if (interval_status()) {
-    std::string idat_name = sub_directory_name + IOHprofiler_path_separator
-                          + "IOHprofiler_f" + _toString(problem_id) + "_DIM"
-                          + _toString(dimension) + ".idat";
-
-    if (this->idat.is_open()) {
-      this->idat.close();
-    }
-    this->idat.open(idat_name.c_str(),std::ofstream::out | std::ofstream::app);
-    //this->idat << dat_header << '\n';
-    this->idat_buffer = "";
-    this->write_in_buffer(dat_header+"\n",this->idat_buffer,this->idat);
-  }
-
-  if (update_status()) {
-    std::string dat_name = sub_directory_name + IOHprofiler_path_separator
-                            + "IOHprofiler_f" + _toString(problem_id) + "_DIM"
-                            + _toString(dimension) + ".dat";
-
-    if (this->dat.is_open()) {
-      this->dat.close();
-    }
-    this->dat_buffer = "";
-    this->dat.open(dat_name.c_str(),std::ofstream::out | std::ofstream::app);
-    //this->dat << dat_header << '\n';
-    this->write_in_buffer(dat_header+"\n",this->dat_buffer,this->dat);
-  }
-
-  if (time_points_status()) {
-    std::string tdat_name = sub_directory_name + IOHprofiler_path_separator
-                            + "IOHprofiler_f" + _toString(problem_id) + "_DIM"
-                            + _toString(dimension) + ".tdat";
-
-    if (this->tdat.is_open()) {
-      this->tdat.close();
-    }
-    this->tdat_buffer = "";
-    this->tdat.open(tdat_name.c_str(),std::ofstream::out | std::ofstream::app);
-    //this->tdat << dat_header << '\n';
-     this->write_in_buffer(dat_header+"\n",this->tdat_buffer,this->tdat);
-  }
-}
-
-void IOHprofiler_csv_logger::track_problem(const int problem_id, const int dimension, const int instance, const std::string problem_name, const IOH_optimization_type maximization_minimization_flag){
-  if (infoFile.is_open()) {
-    write_info(this->instance, this->best_y[0], this->best_transformed_y[0], this->optimal_evaluations,
-                                    this->last_y[0], this->last_transformed_y[0], this->last_evaluations);
-  }
-
-  this->optimal_evaluations = 0;
-  this->last_evaluations = 0;
-
-
-  if (maximization_minimization_flag == IOH_optimization_type::Maximization) {
-    this->best_y.clear();
-    this->best_y.push_back(-DBL_MAX);
-    this->best_transformed_y.clear();
-    this->best_transformed_y.push_back(-DBL_MAX);
-    this->last_y.clear();
-    this->last_y.push_back(-DBL_MAX);
-    this->last_transformed_y.clear();
-    this->last_transformed_y.push_back(-DBL_MAX);
-  } else {
-    this->best_y.clear();
-    this->best_y.push_back(DBL_MAX);
-    this->best_transformed_y.clear();
-    this->best_transformed_y.push_back(DBL_MAX);
-    this->last_y.clear();
-    this->last_y.push_back(DBL_MAX);
-    this->last_transformed_y.clear();
-    this->last_transformed_y.push_back(DBL_MAX);
-  }
-
-  reset_observer(maximization_minimization_flag);
-
-  this->problem_id = problem_id;
-  this->dimension = dimension;
-  this->instance = instance;
-  this->problem_name = problem_name;
-  this->maximization_minimization_flag = maximization_minimization_flag;
-
-  openInfo(problem_id,dimension,problem_name);
-  header_flag = false;
-}
-
-
-void IOHprofiler_csv_logger::track_problem(const IOHprofiler_problem<int> & problem) {
-  // this->tracked_problem_int = nullptr;
-  // this->tracked_problem_double = nullptr;
-
-  this->track_problem(
-    problem.IOHprofiler_get_problem_id(),
-    problem.IOHprofiler_get_number_of_variables(),
-    problem.IOHprofiler_get_instance_id(),
-    problem.IOHprofiler_get_problem_name(),
-    problem.IOHprofiler_get_optimization_type()
-  );
-
-  // this->problem_type = problem.IOHprofiler_get_problem_type();
-  // this->tracked_problem_int = std::make_shared<IOHprofiler_problem<int> >(problem);
-}
-
-void IOHprofiler_csv_logger::track_problem(const IOHprofiler_problem<double> & problem) {
-  // this->tracked_problem_int = nullptr;
-  // this->tracked_problem_double = nullptr;
-  this->track_problem(
-    problem.IOHprofiler_get_problem_id(),
-    problem.IOHprofiler_get_number_of_variables(),
-    problem.IOHprofiler_get_instance_id(),
-    problem.IOHprofiler_get_problem_name(),
-    problem.IOHprofiler_get_optimization_type()
-  );
-
-  // this->problem_type = problem.IOHprofiler_get_problem_type();
-  // this->tracked_problem_double = std::make_shared<IOHprofiler_problem<double> >(problem);
-}
-
-void IOHprofiler_csv_logger::track_suite(std::string suite_name){
-  this->suite_name = suite_name;
-}
-
-void IOHprofiler_csv_logger::set_parameters(const std::vector<std::shared_ptr<double> > &parameters) {
-  if (this->logging_parameters.size() != 0) {
-    this->logging_parameters.clear();
-  }
-
-  for (size_t i = 0; i != parameters.size(); i++) {
-    this->logging_parameters["parameter" + _toString(i+1)] = parameters[i];
-  }
-}
-
-void IOHprofiler_csv_logger::set_parameters(const std::vector<std::shared_ptr<double> > &parameters, const std::vector<std::string> &parameters_name) {
-  if (parameters_name.size() != parameters.size()) {
-    IOH_error("Parameters and their names are given with different size.");
-  }
-  if (this->logging_parameters.size() != 0) {
-    this->logging_parameters.clear();
-  }
-  for (size_t i = 0; i != parameters.size(); i++) {
-    this->logging_parameters[parameters_name[i]] = parameters[i];
-  }
-}
-
-
-void IOHprofiler_csv_logger::set_parameters_name(const std::vector<std::string > &parameters_name) {
-  if (this->logging_parameters.size() != 0) {
-    this->logging_parameters.clear();
-  }
-  //default value set as -9999.
-  for (size_t i = 0; i != parameters_name.size(); i++) {
-    this->logging_parameters[parameters_name[i]] = std::make_shared<double>(-9999);
-  }
-}
-
-void IOHprofiler_csv_logger::set_parameters_name(const std::vector<std::string > &parameters_name, const std::vector<double> &initial_parameters) {
-  if (parameters_name.size() != initial_parameters.size()) {
-    IOH_error("Parameters and their names are given with different size.");
-  }
-  //default value set as -9999.
-  for (size_t i = 0; i != parameters_name.size(); i++) {
-    this->logging_parameters[parameters_name[i]] = std::make_shared<double>(initial_parameters[i]);
-  }
-}
-
-void IOHprofiler_csv_logger::set_parameters(const std::vector<std::string > &parameters_name, const std::vector<double> &parameters) {
-  if (parameters_name.size() != parameters.size()) {
-    IOH_error("Parameters and their names are given with different size.");
-  }
-  for (size_t i = 0; i != parameters_name.size(); ++i)
-  if(this->logging_parameters.find(parameters_name[i]) != this->logging_parameters.end()) {
-    *this->logging_parameters[parameters_name[i]] = parameters[i];
-  } else {
-    IOH_error("Parameter " + parameters_name[i] + " does not exist");
-  }
-}
-
-void IOHprofiler_csv_logger::add_dynamic_attribute(const std::vector<std::shared_ptr<double> > &attributes) {
-  if (this->attr_per_run_name_value.size() != 0) {
-    this->attr_per_run_name_value.clear();
-  }
-
-  for (size_t i = 0; i != attributes.size(); i++) {
-    this->attr_per_run_name_value["attr" + _toString(i+1)] = attributes[i];
-  }
-}
-
-void IOHprofiler_csv_logger::add_dynamic_attribute(const std::vector<std::shared_ptr<double> > &attributes, const std::vector<std::string> &attributes_name) {
-  if (attributes_name.size() != attributes.size()) {
-    IOH_error("Attributes and their names are given with different size.");
-  }
-  if (this->attr_per_run_name_value.size() != 0) {
-    this->attr_per_run_name_value.clear();
-  }
-  for (size_t i = 0; i != attributes.size(); i++) {
-    this->attr_per_run_name_value[attributes_name[i]] = attributes[i];
-  }
-}
-
-void IOHprofiler_csv_logger::set_dynamic_attributes_name(const std::vector<std::string > &attributes_name) {
-  if (this->attr_per_run_name_value.size() != 0) {
-    this->attr_per_run_name_value.clear();
-  }
-  //default value set as -9999.
-  for (size_t i = 0; i != attributes_name.size(); i++) {
-    this->attr_per_run_name_value[attributes_name[i]] = std::make_shared<double>(-9999);
-  }
-}
-
-void IOHprofiler_csv_logger::set_dynamic_attributes_name(const std::vector<std::string > &attributes_name, const std::vector<double> &initial_attributes) {
-  if (attributes_name.size() != initial_attributes.size()) {
-    IOH_error("Attributes and their names are given with different size.");
-  }
-  //default value set as -9999.
-  for (size_t i = 0; i != attributes_name.size(); i++) {
-    this->attr_per_run_name_value[attributes_name[i]] = std::make_shared<double>(initial_attributes[i]);
-  }
-}
-
-void IOHprofiler_csv_logger::set_dynamic_attributes(const std::vector<std::string > &attributes_name, const std::vector<double> &attributes) {
-  if (attributes_name.size() != attributes.size()) {
-    IOH_error("Attributes and their names are given with different size.");
-  }
-  for (size_t i = 0; i != attributes_name.size(); ++i)
-  if(this->attr_per_run_name_value.find(attributes_name[i]) != this->attr_per_run_name_value.end()) {
-    *this->attr_per_run_name_value[attributes_name[i]] = attributes[i];
-  } else {
-    IOH_error("Dynamic attributes " + attributes_name[i] + " does not exist");
-  }
-}
-
-void IOHprofiler_csv_logger::do_log(const std::vector<double> & log_info) {
-  this->write_line( (size_t)(log_info[0]),log_info[1],log_info[2],log_info[3],log_info[4]);
-};
-
-void IOHprofiler_csv_logger::write_line(const std::vector<double> & log_info) {
-  this->write_line( (size_t)(log_info[0]),log_info[1],log_info[2],log_info[3],log_info[4]);
-};
-
-void IOHprofiler_csv_logger::write_line(const size_t evaluations, const double y, const double best_so_far_y,
-                 const double transformed_y, const double best_so_far_transformed_y) {
-  if (header_flag == false) {
-    this->write_header();
-    header_flag = true;
-  }
-
-  this->last_evaluations = evaluations;
-  this->last_y[0] = y;
-  this->last_transformed_y[0] = transformed_y;
-
-  bool cdat_flag = complete_trigger();
-  bool idat_flag = interval_trigger(evaluations);
-  bool dat_flag = update_trigger(transformed_y,maximization_minimization_flag);
-  bool tdat_flag = time_points_trigger(evaluations);
-
-  bool need_write =  cdat_flag || idat_flag || dat_flag || tdat_flag;
-
-  if (need_write) {
-    std::string written_line = _toString(evaluations) + " " + _toString(y) + " "
-                             + _toString(best_so_far_y) + " " + _toString(transformed_y) + " "
-                             + _toString(best_so_far_transformed_y);
-
-    if (this->logging_parameters.size() != 0) {
-      for (std::map<std::string, std::shared_ptr<double> >::iterator iter = this->logging_parameters.begin(); iter != this->logging_parameters.end(); ++iter) {
-        written_line += " ";
-        written_line += _toString(*(iter->second));
-      }
-    }
-
-    written_line += '\n';
-
-    if (cdat_flag) {
-      if (!this->cdat.is_open()) {
-        IOH_error("*.cdat file is not open");
-      }
-      //this->cdat << written_line;
-      this->write_in_buffer(written_line,this->cdat_buffer,this->cdat);
-    }
-
-    if (idat_flag) {
-      if (!this->idat.is_open()) {
-        IOH_error("*.idat file is not open");
-      }
-      //this->idat << written_line;
-      this->write_in_buffer(written_line,this->idat_buffer,this->idat);
-    }
-
-    if (dat_flag) {
-      if (!this->dat.is_open()) {
-        IOH_error("*.dat file is not open");
-      }
-      //this->dat << written_line;
-      this->write_in_buffer(written_line,this->dat_buffer,this->dat);
-    }
-
-    if (tdat_flag) {
-      if (!this->tdat.is_open()) {
-        IOH_error("*.tdat file is not open");
-      }
-      //this->tdat << written_line;
-      this->write_in_buffer(written_line,this->tdat_buffer,this->tdat);
-    }
-  }
-
-  if (compareObjectives(transformed_y,this->best_transformed_y[0],this->maximization_minimization_flag)) {
-    this->update_logger_info(evaluations,y,transformed_y);
-  }
-}
-
-void IOHprofiler_csv_logger::openInfo(int problem_id, int dimension, std::string problem_name) {
-  this->info_buffer = "";
-  std::string titleflag = "";
-  std::string optimization_type;
-  if (this->maximization_minimization_flag == IOH_optimization_type::Maximization) {
-    optimization_type = "T";
-  } else {
-    optimization_type = "F";
-  }
-
-  if (problem_id != this->last_problem_id) {
-    this->infoFile.close();
-    std::string infoFile_name = this->output_directory + IOHprofiler_path_separator
-                          + this->folder_name + IOHprofiler_path_separator
-                          + "IOHprofiler_f" + _toString(problem_id)
-                          + "_" + problem_name
-                          + ".info";
-    // if (fs::exists(infoFile_name.c_str())) {
-    if (folder_exist(infoFile_name)) {
-      titleflag = "\n";
-    }
-    this->infoFile.open(infoFile_name.c_str(),std::ofstream::out | std::ofstream::app);
-    //this->infoFile << titleflag;
-    this->info_buffer += titleflag;
-    //this->infoFile << "suite = \"" << this->suite_name << "\", funcId = " <<  problem_id << ", funcName = \""<< problem_name << "\", DIM = "  << dimension << ", maximization = \"" << optimization_type << "\", algId = \"" << this->algorithm_name << "\", algInfo = \"" << this->algorithm_info << "\"";
-      this->info_buffer += ("suite = \"" + this->suite_name + "\", funcId = " + _toString(problem_id) + ", funcName = \"" + problem_name + "\", DIM = "  + _toString(dimension) + ", maximization = \"" + optimization_type + "\", algId = \"" + this->algorithm_name + "\", algInfo = \"" + this->algorithm_info + "\"");
-    if(this->attr_per_exp_name_value.size() != 0) {
-      for (std::map<std::string,std::string>::iterator iter = this->attr_per_exp_name_value.begin(); iter != this->attr_per_exp_name_value.end(); iter++) {
-            //this->infoFile << ", " << iter->first << " = \"" << iter->second << "\"";
-        this->info_buffer += (", " + iter->first + " = \"" + iter->second + "\"");
-      }
-
-    }
-    if (this->attr_per_run_name_value.size() != 0) {
-      //this->infoFile << ", dynamicAttribute = \"";
-      this->info_buffer +=  ", dynamicAttribute = \"";
-      for (std::map<std::string,std::shared_ptr<double> >::iterator iter = this->attr_per_run_name_value.begin(); iter != this->attr_per_run_name_value.end();) {
-            //this->infoFile << "|" << iter->first;
-        this->info_buffer += (iter->first);
-        if (++iter != this->attr_per_run_name_value.end()) {
-          this->info_buffer += ("|");
-        }
-      }
-      //this->infoFile << "\"";
-      this->info_buffer += ("\"");
-    }
-    //this->infoFile << "\n%\n";
-    this->info_buffer += ("\n%\n");
-    //this->infoFile << "data_f" << problem_id << "_" << problem_name << "/IOHprofiler_f" << problem_id << "_DIM" << dimension << ".dat";
-    this->info_buffer += ("data_f" +  _toString(problem_id) + "_" + problem_name + "/IOHprofiler_f" + _toString(problem_id) + "_DIM" + _toString(dimension) + ".dat");
-    this->write_stream(this->info_buffer,this->infoFile);
-    this->info_buffer.clear();
-
-    this->last_problem_id = problem_id;
-    this->last_dimension = dimension;
-  } else if (dimension != this->last_dimension) {
-    //this->infoFile << "\nsuite = \"" << this->suite_name << "\", funcId = " << problem_id << ", funcName = \""<< problem_name << "\", DIM = " << dimension << ", maximization = \"" << optimization_type << "\", algId = \"" << this->algorithm_name << "\", algInfo = \"" << this->algorithm_info << "\"";
-    this->info_buffer += ("\nsuite = \"" + this->suite_name + "\", funcId = " + _toString(problem_id) + ", funcName = \"" + problem_name + "\", DIM = " + _toString(dimension) + ", maximization = \"" + optimization_type + "\", algId = \"" + this->algorithm_name + "\", algInfo = \"" + this->algorithm_info + "\"");
-    if(this->attr_per_exp_name_value.size() != 0) {
-      for (std::map<std::string,std::string>::iterator iter = this->attr_per_exp_name_value.begin(); iter != this->attr_per_exp_name_value.end(); iter++) {
-            //this->infoFile << ", " << iter->first << " = \"" << iter->second << "\"";
-        this->info_buffer += (", " + iter->first + " = \"" + iter->second + "\"");
-      }
-    }
-
-    if (this->attr_per_run_name_value.size() != 0) {
-      //this->infoFile << ", dynamicAttribute = \"";
-      this->info_buffer += (", dynamicAttribute = \"");
-      for (std::map<std::string,std::shared_ptr<double> >::iterator iter = this->attr_per_run_name_value.begin(); iter != this->attr_per_run_name_value.end();) {
-            //this->infoFile << "|" << iter->first;
-        this->info_buffer += (iter->first);
-        if (++iter != this->attr_per_run_name_value.end()) {
-          this->info_buffer += ("|");
-        }
-      }
-      //this->infoFile << "\"";
-      this->info_buffer += "\"";
-    }
-    //this->infoFile << "\n%\n";
-    this->info_buffer += "\n%\n";
-    //this->infoFile << "data_f" << problem_id << "_" << problem_name << "/IOHprofiler_f" << problem_id << "_DIM" << dimension << ".dat";
-    this->info_buffer += ("data_f" + _toString(problem_id) + "_" + problem_name + "/IOHprofiler_f" + _toString(problem_id) + "_DIM" + _toString(dimension) + ".dat");
-    this->write_stream(this->info_buffer,this->infoFile);
-    this->info_buffer.clear();
-
-    this->last_problem_id = problem_id;
-    this->last_dimension = dimension;
-  }
-}
-
-void IOHprofiler_csv_logger::write_info(int instance, double best_y, double best_transformed_y, int evaluations,
-                                        double last_y, double last_transformed_y, int last_evaluations) {
-  if (!infoFile.is_open()) {
-    IOH_error("write_info(): writing info into unopened infoFile");
-  }
-
-  this->info_buffer = "";
-  //infoFile << ", " << instance << ":" << evaluations << "|" << best_y;
-  this->info_buffer += (", " + _toString(instance) + ":" + _toString(evaluations) + "|" + _toString(best_y));
-  if(this->attr_per_run_name_value.size() != 0) {
-    this->info_buffer += (";");
-    for (std::map<std::string,std::shared_ptr<double> >::iterator iter = this->attr_per_run_name_value.begin(); iter != this->attr_per_run_name_value.end(); ) {
-      //this->infoFile << "|" << *(iter->second);
-      this->info_buffer += (_toString(*(iter->second)));
-      if (++iter != this->attr_per_run_name_value.end()) {
-        this->info_buffer += ("|");
-      }
-    }
-  }
-  this->write_stream(this->info_buffer,this->infoFile);
-  this->info_buffer.clear();
-
-  bool need_write = (evaluations != last_evaluations);
-  if (need_write) {
-    std::string written_line = _toString(last_evaluations) + " " + _toString(last_y) + " "
-                              + _toString(best_y) + " " + _toString(last_transformed_y) + " "
-                              + _toString(best_transformed_y);
-
-    if (this->logging_parameters.size() != 0) {
-      for (std::map<std::string, std::shared_ptr<double> >::iterator iter = this->logging_parameters.begin(); iter != this->logging_parameters.end(); ++iter) {
-        written_line += " ";
-        written_line += _toString(*(iter->second));
-      }
-    }
-
-    written_line += '\n';
-    if (this->cdat.is_open()) {
-      //this->cdat << written_line;
-      this->write_in_buffer(written_line,this->cdat_buffer,this->cdat);
-      this->write_stream(this->cdat_buffer,this->cdat);
-      this->cdat.flush();
-      this->cdat_buffer.clear();
-    }
-    if (this->idat.is_open()) {
-      //this->idat << written_line;
-      this->write_in_buffer(written_line,this->idat_buffer,this->idat);
-      this->write_stream(this->idat_buffer,this->idat);
-      this->idat.flush();
-      this->idat_buffer.clear();
-    }
-    if (this->dat.is_open()) {
-      //this->dat << written_line;
-      this->write_in_buffer(written_line,this->dat_buffer,this->dat);
-      this->write_stream(this->dat_buffer,this->dat);
-      this->dat.flush();
-      this->dat_buffer.clear();
-    }
-    if (this->tdat.is_open()) {
-      //this->tdat << written_line;
-      this->write_in_buffer(written_line,this->tdat_buffer,this->tdat);
-      this->write_stream(this->tdat_buffer,this->tdat);
-      this->tdat.flush();
-      this->tdat_buffer.clear();
-    }
-  }
-
-  if (this->cdat.is_open()) {
-      this->write_stream(this->cdat_buffer,this->cdat);
-      this->cdat.flush();
-      this->cdat_buffer.clear();
-  }
-  if (this->idat.is_open()) {
-    this->write_stream(this->idat_buffer,this->idat);
-    this->idat.flush();
-    this->idat_buffer.clear();
-  }
-  if (this->dat.is_open()) {
-    this->write_stream(this->dat_buffer,this->dat);
-    this->dat.flush();
-    this->dat_buffer.clear();
-  }
-  if (this->tdat.is_open()) {
-    this->write_stream(this->tdat_buffer,this->tdat);
-    this->tdat.flush();
-    this->tdat_buffer.clear();
-  }
-}
-
-void IOHprofiler_csv_logger::write_stream(const std::string buffer_string, std::fstream & dat_stream) {
-  dat_stream.write(buffer_string.c_str(),sizeof(char)*buffer_string.size());
-  //dat_stream << buffer_string;
-}
-
-
-void IOHprofiler_csv_logger::write_in_buffer(const std::string add_string, std::string & buffer_string, std::fstream & dat_stream) {
-  if (buffer_string.size() + add_string.size() < MAX_BUFFER_SIZE) {
-    buffer_string = buffer_string + add_string;
-  } else {
-    write_stream(buffer_string,dat_stream);
-    buffer_string.clear();
-    buffer_string = add_string;
-  }
-}
-
-
-void IOHprofiler_csv_logger::update_logger_info(size_t optimal_evaluations, double y, double transformed_y) {
-  this->optimal_evaluations = optimal_evaluations;
-  this->best_y[0] =  y;
-  this->best_transformed_y[0] = transformed_y;
-}
-
-
-void IOHprofiler_csv_logger::add_attribute(std::string name, double value) {
-  this->attr_per_exp_name_value[name] = _toString(value);
-}
-
-void IOHprofiler_csv_logger::add_attribute(std::string name, int value) {
-  this->attr_per_exp_name_value[name] = _toString(value);
-}
-
-void IOHprofiler_csv_logger::add_attribute(std::string name, float value) {
-  this->attr_per_exp_name_value[name] = _toString(value);
-}
-
-void IOHprofiler_csv_logger::add_attribute(std::string name, std::string value) {
-  this->attr_per_exp_name_value[name] = value;
-}
-
-void IOHprofiler_csv_logger::delete_attribute(std::string name) {
-  this->attr_per_exp_name_value.erase(name);
-}
-
-void IOHprofiler_csv_logger::clear_logger() {
-  if (infoFile.is_open()) {
-    write_info(this->instance, this->best_y[0], this->best_transformed_y[0], this->optimal_evaluations,
-              this->last_y[0], this->last_transformed_y[0], this->last_evaluations);
-    infoFile.close();
-  }
-
-  if (cdat.is_open()) {
-    cdat.close();
-  }
-  if (idat.is_open()) {
-    idat.close();
-  }
-  if (dat.is_open()) {
-    dat.close();
-  }
-  if (tdat.is_open()) {
-    tdat.close();
-  }
-
-  // if(this->tracked_problem_double != nullptr) {
-  //   this->tracked_problem_double = nullptr;
-  // }
-
-  // if(this->tracked_problem_int != nullptr) {
-  //   this->tracked_problem_int = nullptr;
-  // }
-}
-
-
-
- - -
- -
- - -
-
- -
- -
- - - - - - - - - - - \ No newline at end of file diff --git a/docs/_build/html/api/program_listing_file_src_Template_Loggers_IOHprofiler_csv_logger.h.html b/docs/_build/html/api/program_listing_file_src_Template_Loggers_IOHprofiler_csv_logger.h.html deleted file mode 100644 index 43542ba7b..000000000 --- a/docs/_build/html/api/program_listing_file_src_Template_Loggers_IOHprofiler_csv_logger.h.html +++ /dev/null @@ -1,348 +0,0 @@ - - - - - - - - - - Program Listing for File IOHprofiler_csv_logger.h — IOHexperimenter 0.1.0 documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- -
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-

Program Listing for File IOHprofiler_csv_logger.h

-

Return to documentation for file (src/Template/Loggers/IOHprofiler_csv_logger.h)

-
#ifndef _IOHPROFILER_CSV_LOGGER_H
-#define _IOHPROFILER_CSV_LOGGER_H
-
-#include "IOHprofiler_observer.h"
-#include "IOHprofiler_problem.h"
-
-class IOHprofiler_csv_logger : public IOHprofiler_observer {
-public:
-
-  IOHprofiler_csv_logger();
-
-  IOHprofiler_csv_logger(std::string directory, std::string folder_name,
-                         std::string alg_name, std::string alg_info);
-
-  ~IOHprofiler_csv_logger();
-
-  bool folder_exist(std::string folder_name);
-
-  void activate_logger();
-
-  void clear_logger();
-
-  void add_dynamic_attribute(const std::vector<std::shared_ptr<double> > &attributes);
-
-  void add_dynamic_attribute(const std::vector<std::shared_ptr<double> > &attributes, const std::vector<std::string> &attributes_name);
-
-  // Only for python wrapper.
-  void set_dynamic_attributes_name(const std::vector<std::string> &attributes_name);
-  void set_dynamic_attributes_name(const std::vector<std::string> &attributes_name, const std::vector<double > &initial_attributes);
-  void set_dynamic_attributes(const std::vector<std::string> &attributes_name, const std::vector<double > &attributes);
-
-  void add_attribute(std::string, int);
-
-  void add_attribute(std::string, double);
-
-  void add_attribute(std::string, float);
-
-  void add_attribute(std::string, std::string);
-
-  void delete_attribute(std::string);
-
-
-  void track_problem(const int problem_id, const int dimension, const int instance, const std::string problem_name, const IOH_optimization_type maximization_minimization_flag);
-
-
-  void track_problem(const IOHprofiler_problem<int> & problem);
-
-  void track_problem(const IOHprofiler_problem<double> & problem);
-
-  void track_suite(std::string suite_name);
-
-  void openInfo(int problem_id, int dimension, std::string problem_name);
-
-  void write_info(int instance, double best_y, double best_transformed_y, int evaluations,
-                  double last_y, double last_transformed_y, int last_evaluations);
-
-  void write_line(const size_t evaluations, const double y, const double best_so_far_y,
-                 const double transformed_y, const double best_so_far_transformed_y);
-
-  void do_log(const std::vector<double> &log_info);
-
-  void write_line(const std::vector<double> &log_info);
-
-  void update_logger_info(size_t optimal_evaluations, double y, double transformed_y);
-
-  void set_parameters(const std::vector<std::shared_ptr<double> > &parameters);
-
-  void set_parameters(const std::vector<std::shared_ptr<double> > &parameters, const std::vector<std::string> &parameters_name);
-
-  // Only for python wrapper.
-  void set_parameters_name(const std::vector<std::string > &parameters_name);
-  void set_parameters_name(const std::vector<std::string > &parameters_name, const std::vector<double> & initial_parameters);
-  void set_parameters(const std::vector<std::string> &parameters_name, const std::vector<double> &parameters);
-
-private:
-  // The information for directory.
-  std::string folder_name;
-  std::string output_directory;
-
-  // The information for logging.
-  std::string algorithm_name;
-  std::string algorithm_info;
-  IOH_optimization_type maximization_minimization_flag = IOH_optimization_type::Maximization;
-  std::map<std::string, std::string> attr_per_exp_name_value;
-  std::map<std::string, std::shared_ptr<double> >  attr_per_run_name_value;
-
-  std::string suite_name = "No suite";
-
-  int dimension;
-  int problem_id;
-  int instance;
-  std::string problem_name;
-  //std::string problem_type;
-
-  std::vector<double> best_y;
-  std::vector<double> best_transformed_y;
-  size_t optimal_evaluations;
-  std::vector<double> last_y;
-  std::vector<double> last_transformed_y;
-  size_t last_evaluations;
-
-  //std::vector<std::shared_ptr<double> > logging_parameters; /// < parameters to be logged as logging evaluation information.
-  //std::vector<std::string> logging_parameters_name; /// < name of parameters to be logged as logging evaluation information.
-  std::map<std::string, std::shared_ptr<double> > logging_parameters;
-
-  // fstream
-  std::fstream cdat;
-  std::fstream idat;
-  std::fstream dat;
-  std::fstream tdat;
-  std::fstream infoFile;
-
-  std::string cdat_buffer;
-  std::string idat_buffer;
-  std::string dat_buffer;
-  std::string tdat_buffer;
-  std::string info_buffer;
-
-  int last_dimension = 0;
-  int last_problem_id = -1;
-
-  std::string IOHprofiler_experiment_folder_name();
-
-  int IOHprofiler_create_folder(const std::string path);
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-  bool header_flag;
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-  void write_header();
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-  void write_stream(const std::string buffer_string, std::fstream & dat_stream);
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-  void write_in_buffer(const std::string add_string, std::string & buffer_string, std::fstream & dat_stream);
-
-  int openIndex();
-
-  // std::shared_ptr<IOHprofiler_problem<int> >  tracked_problem_int;
-  // std::shared_ptr<IOHprofiler_problem<double> > tracked_problem_double;
-};
-
-#endif //_IOHPROFILER_CSV_LOGGER_H
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Program Listing for File README.md

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Return to documentation for file (src/Template/README.md)

-
## Source codes of IOHexperimenter
-
-[This folder] includes common used codes of __IOHexperimenter__. For details of `IOHprofiler_problem` and `IOHprofiler_suite`, please visit [problem page](/src/Problems/) and [suite page](/src/Suites).
-
-### IOHprofiler_transformation
-
-IOHprofiler_transformation` defines methods of transformation applied on `IOHprofiler_problem`. For the definition of methods, please visit [wikipage](https://iohprofiler.github.io/Benchmark/Transformation/)
-
-### IOHprofiler_random
-
-__IOHexperimenter__ supplies methods of generating random numbers, which can be used to reproduce same experiments with the same random seed.
-
-`IOHprofiler_random` is a `class` of random methods, you can construct it with a specified random seed as:
-```cpp
-IOHprofiler_random(long seed);
-```
-
-And two random number generator methods are as follow.
-* <i>double IOHprofiler_uniform_rand()</i>, returns a random number from standard uniform distribution.
-* <i>double IOHprofiler_normal_rand()</i>, returns a random number from standard normal distribution.
-
-### IOHprofiler_observer
-
-`IOHprofiler_observer` defines triggers of recording evaluations, and __logger__ classes inherit it to set up the time of recording.
-
-Four strategies of recording evaluations are available,
-* __complete tracking__, provides the highest granularity, by storing information for each function evaluation. Use <i>set_complete_flag(true)</i> to enable this strategy,
-* __interval tracking__, stores information for each $\tau$-th function evaluation. Use <i>set_interval()</i> to set $\tau > 0$ to enable this stragety.
-* __target-based tracking__, stores information for each iteration in which the best-so-far fitness improved. Use <i>set_update_flag(true)</i> to enbale this stragety.
-* __time-based tracking__, stores information when the user-specified running time budgets are reached. These budget are evenly spaced in log-10 scale.
-
-### IOHprofier_class_generator
-
-`IOHprofiler_class_generator` supplied methods of registering and creating `IOHprofiler_problem` and `IOHprofiler_suite`.
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Variable regOneMax_Epistasis

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, OneMax_Epistasis > regOneMax_Epistasis ("OneMax_Epistasis")
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Variable regLABS

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, LABS > regLABS ("LABS")
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Variable regNQueens

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, NQueens > regNQueens ("NQueens")
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Variable regLeadingOnes_Ruggedness3

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, LeadingOnes_Ruggedness3 > regLeadingOnes_Ruggedness3 ("LeadingOnes_Ruggedness3")
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Variable regOneMax

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, OneMax > regOneMax ("OneMax")
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Variable regLeadingOnes_Epistasis

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, LeadingOnes_Epistasis > regLeadingOnes_Epistasis ("LeadingOnes_Epistasis")
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Variable regIsing_Triangle

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, Ising_Triangle > regIsing_Triangle ("Ising_Triangle")
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Variable regLeadingOnes

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, LeadingOnes > regLeadingOnes ("LeadingOnes")
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Variable regLeadingOnes_Ruggedness1

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, LeadingOnes_Ruggedness1 > regLeadingOnes_Ruggedness1 ("LeadingOnes_Ruggedness1")
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Variable regOneMax_Dummy2

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, OneMax_Dummy2 > regOneMax_Dummy2 ("OneMax_Dummy2")
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Variable regLeadingOnes_Dummy2

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, LeadingOnes_Dummy2 > regLeadingOnes_Dummy2 ("LeadingOnes_Dummy2")
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Variable regOneMax_Ruggedness1

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, OneMax_Ruggedness1 > regOneMax_Ruggedness1 ("OneMax_Ruggedness1")
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Variable regOneMax_Ruggedness3

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, OneMax_Ruggedness3 > regOneMax_Ruggedness3 ("OneMax_Ruggedness3")
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Variable regLeadingOnes_Neutrality

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, LeadingOnes_Neutrality > regLeadingOnes_Neutrality ("LeadingOnes_Neutrality")
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Variable regOneMax_Dummy1

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, OneMax_Dummy1 > regOneMax_Dummy1 ("OneMax_Dummy1")
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Variable regOneMax_Neutrality

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, OneMax_Neutrality > regOneMax_Neutrality ("OneMax_Neutrality")
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Variable regMIS

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, MIS > regMIS ("MIS")
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Variable regIsing_2D

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Variable Documentation

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-registerInFactory< IOHprofiler_problem< int >, Ising_2D > regIsing_2D ("Ising_2D")
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