Testing local search move operators on the vehicle routing problem with split deliveries and time windows

被引:23
|
作者
McNabb, Marcus E. [1 ]
Weir, Jeffery D. [1 ]
Hill, Raymond R. [1 ]
Hall, Shane N. [1 ]
机构
[1] Air Force Inst Technol, Wright Patterson AFB, OH 45433 USA
关键词
Heuristic; Vehicle routing problem; Time windows; Split delivery; Ant colony optimization; Local search; ANT COLONY OPTIMIZATION; ALGORITHM;
D O I
10.1016/j.cor.2014.11.007
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 an important transportation problem. The literature addresses several extensions of this problem, including variants having delivery time windows associated with customers and variants allowing split deliveries to customers. The problem extension including both of these variations has received less attention in the literature. This research effort sheds further light on this problem. Specifically, this paper analyzes the effects of combinations of local search (LS) move operators commonly used on the VRP and its variants. We find when paired with a MAX-MIN Ant System constructive heuristic, Or-opt or 2-opt* appear to be the ideal LS operators to employ on the VRP with split deliveries and time windows with Or-opt finding higher quality solutions and 2-opt* requiring less run time. Published by Elsevier Ltd.
引用
收藏
页码:93 / 109
页数:17
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