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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Simulation and Application of Algorithms CVRP to Optimize the Transport of Minerals Metallic and Nonmetallic by Rail for Export
verfasst von : Lourdes Margain, Edna Cruz, Alberto Ochoa, Alberto Hernández, Jacqueline Ramos Landeros
Erschienen in: Advances in Swarm Intelligence
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Abstract
Metallic and nonmetallic minerals produced by the State of Puebla, for convenience, can be transported in containers by train to a seaport cargo exported to other countries; for transporting minerals by railways, it must analyze what 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 comparing two metaheuristic algorithms applied to Capacitated Vehicle Routing Problem (CVRP), in order to determine which algorithm gives better optimization solutions that help you make the best route for the transfer. As a final result the implementation of an optimization algorithm Ant Colony was more successful in the runtime that on Genetic Algorithm; because it is slow to find an optimal solution among all generations.