Hybrid large neighbourhood search algorithm for capacitated vehicle routing problem

被引:62
|
作者
Akpinar, Sener [1 ]
机构
[1] Dokuz Eylul Univ, Fac Engn, Dept Ind Engn, TR-35397 Izmir, Turkey
关键词
Capacitated vehicle routing problem; Hybrid meta-heuristic; Large neighbourhood search; Ant colony optimization; ANT COLONY OPTIMIZATION; GENETIC ALGORITHM; HEURISTICS; DEPOT;
D O I
10.1016/j.eswa.2016.05.023
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a new hybrid algorithm that executes large neighbourhood search algorithm in combination with the solution construction mechanism of the ant colony optimization algorithm (LNS-ACO) for the capacitated vehicle routing problem (CVRP). The proposed hybrid LNS-ACO algorithm aims at enhancing the performance of the large neighbourhood search algorithm by providing a satisfactory level of diversification via the solution construction mechanism of the ant colony optimization algorithm. Therefore, LNS-ACO algorithm combines its solution improvement mechanism with a solution construction mechanism. The performance of the proposed algorithm is tested on a set of CVRP instances. The hybrid LNS-ACO algorithm is compared against two other LNS variants and some of the formerly developed methods in terms of solution quality. Computational results indicate that the proposed hybrid LNS-ACO algorithm has a satisfactory performance in solving CVRP instances. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:28 / 38
页数:11
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