GRASP and Multiple Neighborhood Search for real vehicle routing problem

Flavien Lucas 1 Gwénaël Rault 1 Romain Billot 2 Philippe Lacomme 3 Marc Sevaux 1
1 Lab-STICC_UBS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_IMTA_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : For a few decades vehicle routing problems have been studied and improved, it includes today many features under the common denomination of rich vehicle routing problems. In our study, multiple types of vehicles are considered, including fixed cost, variable cost, velocity and capacity. The topology of these instances includes restrictions on the graph for some types of vehicles. Instances based on real road maps take into account some specificity like asymmetric graph, triangular inequality not respected, forbidden turns depending on crossroad and congestion information that impact the solving methods. Very large scale instances with thousands of customers are solved using a GRASP and a multiple neighborhood search method to obtain high quality solutions in reasonable execution time. The GRASP is based on the so-called Clarke and Wright heuristic and the multiple neighborhood search method presents an unified view of several classical neighborhoods. The solution method has been particularly improved to handle the very large scale instances.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-02162957
Contributor : Marc Sevaux <>
Submitted on : Sunday, June 23, 2019 - 11:57:48 AM
Last modification on : Tuesday, June 25, 2019 - 1:51:25 AM

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  • HAL Id : hal-02162957, version 1

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Flavien Lucas, Gwénaël Rault, Romain Billot, Philippe Lacomme, Marc Sevaux. GRASP and Multiple Neighborhood Search for real vehicle routing problem. EURO 2019 - 30th European Conference on Operational Research, Jun 2019, Dublin, Ireland. ⟨hal-02162957⟩

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