This code implements a genetic algorithm for solving the Traveling Salesman Problem (TSP) on a set of cities from a distance matrix, utilizing techniques such as tournament selection, PMX crossover, inversion and exchange mutations, and elitism to optimize the route and minimize total distance.
Evolutionary algorithms written in c++: a target string guesser and a maximum value calculator
This project explores the monochromatic triangle problem, leveraging genetic algorithms to find optimal solutions. It includes a visualization component to illustrate the problem and solution.
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