A Parallel Algorithm for the Vehicle Routing Problem

被引：45
|
作者：
Groer, Chris [1 ]
Golden, Bruce [2 ]
Wasil, Edward [3 ]
机构：
[1] Oak Ridge Natl Lab, Oak Ridge, TN 37831 USA
[2] Univ Maryland, RH Smith Sch Business, College Pk, MD 20742 USA
[3] American Univ, Kogod Sch Business, Washington, DC 20016 USA
来源：
INFORMS JOURNAL ON COMPUTING | 2011年 / 23卷 / 02期
关键词：
vehicle routing; optimization; heuristics; metaheuristics; parallel computing; STRATEGIES;
D O I：
10.1287/ijoc.1100.0402
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The vehicle routing problem (VRP) is a difficult and well-studied combinatorial optimization problem. We develop a parallel algorithm for the VRP that combines a heuristic local search improvement procedure with integer programming. We run our parallel algorithm with as many as 129 processors and are able to quickly find high-quality solutions to standard benchmark problems. We assess the impact of parallelism by analyzing our procedure's performance under a number of different scenarios.
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页码：315 / 330
页数：16
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