混合运货车辆路径的求解:蚁群问题

Niaz A. Wassan, S. Salhi, G. Nagy, Naveed Wassan, A. Wade
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引用次数: 4

摘要

利用蚁群启发式算法研究了带回程的混合车辆路径问题。这种分布问题似乎受到缺乏出版工作的影响,尽管它具有巨大的实际适用性,特别是在物流系统中。对基本蚂蚁系统算法的一些增强被嵌入到搜索中。重点是蚂蚁放置的选择,与站点相关的候选列表的使用,基于前瞻性的可见性的引入,以及更新本地和全局路径的适当策略。在基准数据集上进行测试时,报告了令人鼓舞的计算结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solving the Mixed Backhauling Vehicle Routing: Problem with Ants
The mixed vehicle routing problem with backhauls is investigated using ant system heuristic. This distribution problem seems to suffer from a lack of published work even though it has immense practical applicability especially within logistic systems. Some enhancements to the basic ant system algorithm are embedded into the search. In particular a focus is on the choice in the placement of ants, the use of site-dependent candidate list, the introduction of a look ahead-based visibility, and appropriate strategies for updating local and global trails. Encouraging computational results are reported when tested on benchmark data sets.
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