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Solving the Traveling Sales Person problem using genetic algorithms.

  • This project aim is to solve the traveling salesperson problem using genetic algorithms, with different combinations of selection algorithms, crossover, and mutation operators. A comparative study analysis is used to identify the parameters that achieve the best results for the problem in question.

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