SAPO

A Surrogate-assisted Partial Optimization for Expensive Constrained Optimization Problems

• This is an open-source code of SAPO implemented by MATLAB.

• All codes are our originals and implemented to run on PlatEMO.

How to run

1. Download all the files of SAPO and PlatEMO.

2. Add the SAPO directory in this repository to the Algorithms/Single-objective optimization directory.

3. Run platemo.m and select SAPO. See the documents of PlatEMO for more details.

Copyright

The copyright of the SAPO belongs to authors in the Evolutionary Intelligence Research Group (Nakata Lab) at Yokohama National University, Japan. You are free to use this code for research purposes. Please refer to the following article;

Kei Nishihara and Masaya Nakata, “A Surrogate-assisted Partial Optimization for Expensive Constrained Optimization Problems,” in Int. Conf. Parallel Probl. Solving Nat. (PPSN), Sep. 2024, pp. 391–407.

@inproceedings{nishihara2024surrogate,
  title      = "{A Surrogate-assisted Partial Optimization for Expensive Constrained Optimization Problems}",
  booktitle  = "{Int. Conf. Parallel Probl. Solving Nat. (PPSN)}",
  author     = "Nishihara, Kei and Nakata, Masaya",
  pages      = "391--407",
  month      =  sep,
  year       =  2024,
  conference = "2024 International Conference on Parallel Problem Solving from Nature (PPSN)",
  doi        = "10.1007/978-3-031-70068-2_24"
}