Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Applied mathematics and computation 2006-10, Vol.181 (2), p.1049-1060
Main Authors: Tavakkoli-Moghaddam, R., Saremi, A.R., Ziaee, M.S.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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.
ISSN:0096-3003
1873-5649
DOI:10.1016/j.amc.2006.01.059