期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 61, 期 -, 页码 28-38出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2016.05.023
关键词
Capacitated vehicle routing problem; Hybrid meta-heuristic; Large neighbourhood search; Ant colony optimization
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据