Large neighborhood search for the pickup and delivery traveling salesman problem with multiple stacks

被引:23
|
作者
Cote, Jean-Francois [1 ]
Gendreau, Michel [1 ,2 ]
Potvin, Jean-Yves [1 ]
机构
[1] Univ Montreal, Dept Informat & Rech Operat, Ctr Interuniv Rech, Montreal, PQ H3C 3J7, Canada
[2] Ecole Polytech, Dept Math & Genie Ind, Montreal, PQ H3C 3A7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Vehicle routing; pickup; delivery; loading; multiple stacks; large neighborhood search; VEHICLE-ROUTING PROBLEM; 2-DIMENSIONAL LOADING CONSTRAINTS; TIME WINDOWS; OPTIMIZATION; LIFO; ALGORITHM;
D O I
10.1002/net.20448
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies a single vehicle pickup and delivery problem with loading constraints. In this problem, the vehicle contains a number of (horizontal) stacks of finite capacity for loading items from the rear of the vehicle. Each stack must satisfy a last-in-first-out constraint where any new item must be loaded on top of a stack and any unloaded item must be on top of its stack. A large neighborhood search is proposed for solving this problem. Computational results are reported on different types of randomly generated instances. Results are also reported on benchmark instances for two special cases of our problem and a comparison is provided with state-of-the-art methods. (c) 2012 Wiley Periodicals, Inc. NETWORKS, 2012
引用
收藏
页码:19 / 30
页数:12
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