Abstract
In this article we propose a methodological approach based on Soft Computing to obtain solutions to the vehicle routing problem when time windows constraints are imprecise and flexible. A fuzzy model and method is obtained by applying a Fuzzy Optimization approach. A new hybrid algorithm is presented and applied to real problem instances of a distribution company that combines Ant Colony Optimization, Variable Neighbourhood Search and Greedy Randomize Adaptive Search Procedure for the corresponding fuzzy optimization problem. © 2012 Springer-Verlag.
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Brito, J., Martínez, F. J., Moreno-Pérez, J. A., & Verdegay, J. L. (2012). ACO-GRASP-VNS metaheuristic for VRP with fuzzy windows time constraints. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6927 LNCS, pp. 440–447). https://doi.org/10.1007/978-3-642-27549-4_56
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