Se pretende optimizar el clasificador K-NN [1] resolviendo el problema al que llamaremos Aprendizaje de pesos en características (APC)
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Updated
Jun 21, 2022 - Julia
Se pretende optimizar el clasificador K-NN [1] resolviendo el problema al que llamaremos Aprendizaje de pesos en características (APC)
Travelling Salesman Problem (TSP)
Introduction to optimization algorithms and applications
My attempts in Metaheuristic Algorithms
Description of travel salesman problem and one example code genetic in python. In specific, one implentation with jsvascript language and explanation of process
Implementation of multivariate regression and classification using an adaptive neuro-fuzzy inference system (Takaki-Sugeno) and metaheuristic optimization.
PWr, kurs Projektowanie efektywnych algorytmów, projekt nr 2
Simple Python Implementation of Differential Search Algorithm (DSA)
Implementation of the tabu search algorithm used in my thesis. The problem in the thesis is political districting.
A python library for solving optimization problems using metaheuristic algorithms
A package including some functions implementing heuristics for combinatorial problems, and some datasets for testing.
Multi-objective optimization based on sloping plate optimization algorithm called Multi-objective Inclined Planes system optimization algorithm (MOIPO) is presented in this link. The proposed method uses the concept of Pareto optimization to identify non-dominant positions and an external tank to maintain these positions.
A repository containing the implementation of data analysis algorithms
Novel global optimization meta-heuristic based on the dynamics of the process of opinion formation.
Minimization of the number of sensors in a WSN sensor network using metaheuristic cooperation
Solving Travelling Salesman Problem examples using the Simulated Annealing and Taboo Search approaches and comparing the results.
This repo contains the implementation in Python with a tutorial of some Metaheuristic Algorithms.
Applying evolutionary metaheuristic algorithms to solve Travelling Salesman Problem.
Optimizing where people are seated based on their interpersonal affinities.
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