Solving capacitated vehicle routing problem by artificial bee colony algorithm

Alberto Gómez, S. Salhi
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引用次数: 16

Abstract

This paper presents a new Artificial Bee Colony algorithm for solving the capacitated vehicle routing problem. The main novel characteristic of the proposed approach relies upon an efficient way of coordinating, for each group of bees, a well-defined focus of work. In the algorithm, we provide two specializations namely diversification and intensification where the former is controlled by the employed and the scout bees whereas the latter by the onlookers. The two datasets commonly used as benchmark instances are used to assess the performance of the proposed algorithm. The results show that the proposed algorithm obtains interesting results.
用人工蜂群算法求解有能力车辆路径问题
提出了一种新的人工蜂群算法,用于求解有能力车辆路径问题。所提出的方法的主要新颖特征依赖于一种有效的协调方式,为每一群蜜蜂,一个明确的工作重点。在算法中,我们提供了两种专业化,即多样化和集约化,前者由受雇者和侦察兵控制,后者由旁观者控制。使用常用的两个数据集作为基准实例来评估所提出算法的性能。结果表明,该算法得到了有趣的结果。
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