On the performance of artificial ant colony to solve the dynamic vehicle routing problem

Jalel Euchi, A. Yassine, H. Chabchoub
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引用次数: 2

Abstract

In this paper we describe an alternative variant dynamic Pickup and Delivery strategy of Vehicle Routing Problem (DVRP) which arises when new customers appear in the tours after starting visit. We propose an Artificial Ant Colony based on 2-Opt local search (AAC-2-Opt) to solve the DVRP. We demonstrate the effectiveness of our approach by comparing its results with those of existing methods in literature on the same tests problems. The proposed algorithm can efficiently optimize the routing problem and provide highly competitive solutions.
求解动态车辆路径问题的人工蚁群性能研究
本文提出了一种车辆路径问题的备选变异型动态取货策略,该策略是在开始参观后出现新客户时出现的。我们提出了一种基于2-Opt局部搜索的人工蚁群算法(AAC-2-Opt)来解决DVRP问题。我们通过将其结果与文献中相同测试问题的现有方法的结果进行比较,证明了我们方法的有效性。该算法可以有效地优化路由问题,并提供高竞争性的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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