Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generation, i.e. survival of the fittest of beings.

This program implements a genetic algorithm for curve fitting using a polynomial equation. The goal is to find the best coefficients for the polynomial equation that minimize the distance between the curve and a given set of data points. The genetic algorithm is used to search for the optimal solution by evolving a population of candidate solutions

Solving the Traveling Sales Person problem using genetic algorithms.

エリート保存戦略を使用した遺伝的アルゴリズムの実装．Implementation of genetic algorithms using elite conservation strategies