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.
Solving the N-Queen problem using a Genetic Algorithm in C and Python3 with PMX crossover .
I developed this project to delve into Genetic Algorithms and their application to optimization problems. Feel free to explore the code, run the algorithm, and share your feedback.
This Java-based project aims to solve the Traveling Salesman Problem (TSP) using a parallelized approach with multithreading and the Partially Mapped Crossover (PMX) technique.
Implementiraj rješenje TSP problema s 30 gradova generiranih na 2D ravnini. Cilj je pronaći najkraći put koji posjećuje svaki grad jednom i vraća se na početnu točku. Koristi se Genetski algoritam
Implementation of the genetic algorithm with the PMX crossover for the traveling salesman optimization problem
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