计算机应用与软件2017，Vol.34Issue(1)：252-257,6.DOI:10.3969/j.issn.1000-386x.2017.01.046
配送中心选址的自适应Levy分布混合变异鱼群算法
RESEARCH ON MIXED MUTATION ARTIFICIAL FISH SWARM ALGORITHM BASED ON ADAPTIVE LEVY DISTRIBUTION OF THE DISTRIBUTION CENTER LOCATION
摘要
Abstract
Based on the establishment of distribution center location model, the adaptive Levy distribution mixed mutation artificial fish swarm algorithm for solving distribution center location is proposed.In the improved algorithm, the worst individual of the current fish is replaced by the best individual fish of bulletin board toformat theintermediate fish swarm.In the middle swarm, the best individual fish is to carry out the chaotic variation, and the other fish individuals is to carry out Levy variation.The introduction of Levy mutation plays a better role in guiding the algorithm out of local optimal solution, and increases the diversity of fish.Besides, the introduction of chaos mutation enhances the local search ability of the algorithm and guarantees the convergence rate of the algorithm.The simulation results show that the adaptive Levy distribution mixed mutation artificial fish swarm algorithm are more effectively than artificial fish swarm algorithm to solve the distribution center location problem and find the lower cost.关键词
人工鱼群算法/Levy分布/混沌/变异/配送中心选址Key words
Artificial fish swarm algorithm/Levy distribution/Chaos/Mutation/Distribution center location分类
信息技术与安全科学引用本文复制引用
费腾,张立毅,孙云山..配送中心选址的自适应Levy分布混合变异鱼群算法[J].计算机应用与软件,2017,34(1):252-257,6.基金项目
国家软科学研究计划项目(2014GXS4D089) （2014GXS4D089）
天津市高等学校科技发展基金计划项目(20110709) （20110709）
天津市科技特派员项目(15JCTPJC63000) （15JCTPJC63000）
中国物流学会项目(2014CSLKT3-16). （2014CSLKT3-16）
