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.
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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: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_56
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DOI: https://doi.org/10.1007/978-3-642-27549-4_56
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