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基于多种群协同进化的物流配送路径优化
引用本文:袁琦.基于多种群协同进化的物流配送路径优化[J].宁波大学学报(理工版),2010,23(2):37-41.
作者姓名:袁琦
作者单位:浙江旅游职业学院旅行社管理系,浙江,杭州,311231
摘    要:将PSO算法与协同进化算法结合,提出多种群协同进化算法.在解空间上均匀初始化基因个体,依据适应度排序分配种群基因的子代数量,并融入合理的遗传与变异策略.通过物流配送中的应用,以实例说明算法的有效性.

关 键 词:协同进化  粒子群算法  多种群  进化策略

A Multi-agent Coevolutionary Approach and its Application on Third Party Logistics
YUAN Qi.A Multi-agent Coevolutionary Approach and its Application on Third Party Logistics[J].Journal of Ningbo University(Natural Science and Engineering Edition),2010,23(2):37-41.
Authors:YUAN Qi
Institution:Department of Travel Agency Management/a>;Tourism College of Zhejiang/a>;Hangzhou 311231/a>;China
Abstract:It mainly proposes a Multi-Agent Coevolutionary Algorithm(MACA) by combining POS and coevolutionary algorithm.It initializes gene units in solution space evenly,distributes offspring numbers of population genes in accordance with fitness,and reasonable blends in inheritance and variation strategy.Then it proves their efficiency by several experiments.
Keywords:coevolutionary algorithm  POS  multi-agent  evolution strategy  
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