A cooperative parallel meta-heuristic for the vehicle routing problem with time windows

被引:115
作者
Le Bouthillier, A
Crainic, TG
机构
[1] Univ Montreal, Dept Informat & Rech Operat, Montreal, PQ H3C 3J7, Canada
[2] Univ Montreal, Ctr Rech Transports, Montreal, PQ H3C 3J7, Canada
[3] Univ Quebec, Dept Management & Technol, Montreal, PQ H3C 3P8, Canada
[4] Univ Montreal, Ctr Rech Transports, Montreal, PQ H3C 3J7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
vehicle routing with time windows; parallel meta-heuristics; cooperative search; solution warehouse strategy;
D O I
10.1016/j.cor.2003.11.023
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a parallel cooperative multi-search method for the vehicle routing problem with time windows. It is based on the solution warehouse strategy, in which several search threads cooperate by asynchronously exchanging information on the best solutions identified. The exchanges are performed through a mechanism, called solution warehouse, which holds and manages a pool of solutions. This enforces the asynchronous strategy of information exchanges and ensures the independence of the individual search processes. Each of these independent processes implements a different meta-heuristic, an evolutionary algorithm or a tabu search procedure. No attempt has been made to calibrate the individual procedures or the parallel cooperative method. The results obtained on an extended set of test problems show that the parallel procedure achieves Linear accelerations and identifies solutions of comparable quality to those obtained by the best methods in tie literature. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1685 / 1708
页数:24
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