Solving facility layout problems using evolutionary strategy based on levy flight

Dongqing Zhao, C. Aranha, H. Kanoh
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引用次数: 3

Abstract

This paper introduces a new way to solve the Facility Layout Problem (FLP). The FLP consists of choosing positions of a set of departments in the facility so that the material handling cost is minimized. We employed an Evolutionary Strategy (ES) using Levy Flight as basis for an improved mutation operator. We compared this algorithm with GA, ACO, Chaos Theory and standard ES in a set of FLP benchmarks. Our results show that the proposed method obtains better solutions with less evaluations for large scale problems.
基于levy飞行的进化策略求解设施布局问题
介绍了一种解决设施布局问题的新方法。FLP包括在设施中选择一组部门的位置,以使物料处理成本最小化。我们采用了一种进化策略(ES),利用Levy Flight作为改进突变算子的基础。在一组FLP基准测试中,将该算法与遗传算法、蚁群算法、混沌理论和标准ES进行了比较。结果表明,对于大规模问题,该方法能以较少的评价获得较好的解。
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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