General solutions to the single vehicle routing problem with pickups and deliveries

被引:65
作者
Gribkovskaia, Irina
Halskau, Oyvind, Sr.
Laporte, Gilbert
Vlcek, Martin
机构
[1] Molde Univ Coll, N-6402 Molde, Norway
[2] HEC Montreal, Canada Res Chair Distrubut Management, Montreal, PQ H3T 2A7, Canada
关键词
combinatorial optimization; heuristics; metaheuristics; tabu search;
D O I
10.1016/j.ejor.2006.05.009
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The single vehicle routing problem with pickups and deliveries (SVRPPD) is defined on a graph in which pickup and delivery demands are associated with the customer vertices. The problem consists of designing a least cost route for a vehicle of capacity Q. Each customer is allowed to be visited once for a combined pickup and delivery, or twice if these two operations are performed separately. This article proposes a mixed integer linear programming model for the SVRPPD. It introduces the concept of general solution which encompasses known solution shapes such as Hamiltonian, double-path and lasso. Classical construction and improvement heuristics, as well as a tabu search heuristic, are developed and tested over several instances. Computational results show that the best solutions generated by the heuristics are frequently non-Hamiltonian and may contain up to two customers visited twice. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:568 / 584
页数:17
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