The open vehicle routing problem: Algorithms, large-scale test problems, and computational results

被引:164
作者
Li, Feiyue
Golden, Bruce [1 ]
Wasil, Edward
机构
[1] Univ Maryland, RH Smith Sch Business, College Pk, MD 20742 USA
[2] Princeton Optimizat Inc, Princeton, NJ 08540 USA
[3] American Univ, Kogod Sch Business, Washington, DC 20016 USA
关键词
vehicle routing problem; heuristics; record-to-record travel;
D O I
10.1016/j.cor.2005.11.018
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the open vehicle routing problem (OVRP), a vehicle does not return to the depot after servicing the last customer on a route. The description of this variant of the standard vehicle routing problem appeared in the literature over 20 years ago, but has just recently attracted the attention of practitioners and researchers. Today, the OVRP is encountered in practice in the home delivery of packages and newspapers. Contractors who are not employees of the delivery company use their own vehicles and do not return to the depot. In the last five years, tabu search, deterministic annealing, and large neighborhood search have been applied to the OVRP with some success. In this paper, we review OVRP algorithms, develop a variant of our record-to-record travel algorithm for the standard vehicle routing problem to handle open routes, and report computational results on test problems taken from the literature. Finally, we develop a set of eight large-scale problems that range in size from 200 to 480 nodes and report solutions generated by our record-to-record travel algorithm on this test set. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2918 / 2930
页数:13
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