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Metallic and nonmetallic minerals produced at the State of Puebla, for convenience, can be transported in containers by train to a seaport cargo to be exported to other countries; for transporting minerals by railways, it must analyze which is the most optimal route to bring the product, taking into account various factors involved through each route in order to get a greater benefit for the transportation of minerals by train. This article compares two metaheuristic algorithms applied to Capacitated Vehicle Routing Problem (CVRP), in order to determine which algorithm gives better optimization solutions that help to make the best route for the transfer. As a final result, the implementation of an Ant Colony optimization algorithm was more successful in the runtime that a Genetic Algorithm; because it is slow to find an optimal solution among all generations.

Simulation and Application of Algorithms CVRP to Optimize the Transport of Mineral Metallic and Nonmetallic by Rail to Export Level