An iterated local search heuristic for the split delivery vehicle routing problem

被引：90
|
作者：
Silva, Marcos Melo [1 ]
Subramanian, Anand [2 ]
Ochi, Luiz Satoru [1 ]
机构：
[1] Univ Fed Fluminense, Inst Computacao, BR-24210240 Niteroi, RJ, Brazil
[2] Univ Fed Paraiba, Dept Prod Engn, Ctr Tecnol, BR-58051970 Joao Pessoa, Paraiba, Brazil
来源：
COMPUTERS & OPERATIONS RESEARCH | 2015年 / 53卷
关键词：
Metaheuristics; Vehicle routing; Split deliveries; Iterated local search; COLUMN GENERATION APPROACH; SCATTER SEARCH; ALGORITHM; COMPLEXITY;
D O I：
10.1016/j.cor.2014.08.005
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper concerns the Split Delivery Vehicle Routing Problem (SDVRP). This problem is a relaxation of the Capacitated Vehicle Routing Problem (CVRP) since the customers' demands are allowed to be split. We deal with the cases where the fleet is unlimited (SDVRP-UF) and limited (SDVRP-LF). In order to solve them, we implemented a multi-start Iterated Local Search (ILS) based heuristic that includes a novel perturbation mechanism. Extensive computational experiments were carried out on benchmark instances available in the literature. The results obtained are highly competitive, more precisely, 55 best known solutions were equaled and new improved solutions were found for 243 out of 324 instances, with an average and maximum improvement of 1.15% and 2.81%, respectively. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：234 / 249
页数：16
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