A GRASP-VNS hybrid for the fuzzy Vehicle Routing Problem with time windows

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Abstract

We consider the Vehicle Routing Problem with time windows where travel times are triangular fuzzy numbers. The weighted possibility and necessity measure of fuzzy relations is used to specify a confidence level at which it is desired that the travel times to reach each customer fall into their time windows. In this paper we propose and analyze a solution procedure consisting in hybridizing a Variable Neighborhood Search (VNS) and a Greedy Randomize Adaptive Search Procedure (GRASP) for the corresponding optimization problem. © 2009 Springer-Verlag Berlin Heidelberg.

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Brito, J., Martínez, F. J., Moreno, J. A., & Verdegay, J. L. (2009). A GRASP-VNS hybrid for the fuzzy Vehicle Routing Problem with time windows. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5717 LNCS, pp. 825–832). https://doi.org/10.1007/978-3-642-04772-5_106

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