文献类型：期刊文献

英文题名：A hybrid approach based on ant colony system for the VRPTW

作者：Wang, Yuping[1]

第一作者：王育平

通讯作者：Wang, Y.

机构：[1] College of Automation, Beijing Union University, Beijing, China

第一机构：北京联合大学城市轨道交通与物流学院

年份：2012

卷号：117 AISC

期号：127 VOL. 2

起止页码：327-333

外文期刊名：Advances in Intelligent and Soft Computing

收录：EI(收录号：20122115054463)

语种：英文

外文关键词：Local search (optimization) - Vehicle routing - Fleet operations - Hybrid vehicles

摘要：The main objective of vehicle routing problem (VRP) is to minimize the total required fleet size for serving all customers. Secondary objectives are to minimize the total distance traveled or to minimize the total route duration of all vehicles. In this paper, we present a hybrid ant colony System, named IACS, coupled with the iterated local search (ILS) algorithm for the VRP with time windows (VRPTW). The ILS can help to escape local optimum. Experiments on various aspects of the algorithm and computational results for some benchmark problems are reported. We compare our approach with some classic, powerful meta-heuristics and show that the proposed approach can obtain the better quality of the solutions. ? 2012 Springer Science+Business Media Dordrecht.