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A memetic algorithm for a vehicle routing problem with backhauls
This paper considers an extension of a vehicle routing problem with backhauls (VRPB). In this problem, a set of costumers are divided in two subsets consisting of linehaul and backhaul costumers. Each linehaul costumer requires delivering its demands from the depot. In addition, a specified quantity...
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Published in: | Applied mathematics and computation 2006-10, Vol.181 (2), p.1049-1060 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper considers an extension of a vehicle routing problem with backhauls (VRPB). In this problem, a set of costumers are divided in two subsets consisting of linehaul and backhaul costumers. Each linehaul costumer requires delivering its demands from the depot. In addition, a specified quantity of products should be picked up from the backhaul nodes to the depot. The VRPB is a well-known NP-hard problem in strong sense and a number of algorithms are proposed for approximate solutions of such a hard problem. In this paper, a memetic algorithm (MA) is proposed which uses different local search algorithms to solve the VRPB. Exploiting power of memetic algorithm, inter and intra-route node exchanges are used as a part of this evolutionary algorithm. Extensive computational tests on some instances taken from the literature reveal the effectiveness of the proposed algorithm. |
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ISSN: | 0096-3003 1873-5649 |
DOI: | 10.1016/j.amc.2006.01.059 |