多目标强度Pareto 混沌差分进化算法.pdf

第27卷第1期 Vol. 27 No. 1 控制与决策 Control and Decision 2012年1月 Jan. 2012 多目标强度Pareto混沌差分进化算法文章编号:1001-0920 (2012) 01-0041-06 章萌,章卫国,孙勇(西北工业大学自动化学院,西安710072) 摘 要:提出一种多目标强度Pareto混沌差分进化算法(SPCDE).首先利用Tent映射进行种群的混沌初始化,采用一种基于均匀排挤机制的截断排挤操作和混沌替换操作进行种群的环境选择操作;然后基于一种变缩放因子的差分变异策略进行变异操作,通过计算支配关系得到变异个体;,. 关键词:多目标优化;强度Pareto;差分进化;混沌Tent映射;DE/current-to-best/1/bin变异策略中图分类号:TP18 文献标识码:A Multi-objective strength Pareto chaotic differential evolution algorithm ZHANG Meng,ZHANG Wei-guo,SUN Yong (College of Automation,Northwestern Polytechnical University,Xi’an 710072,:ZHANG Meng,E-mail:zmnwpu@) Abstract:Amulti-objective strength Pareto chaotic differential evolution algorithm(SPCDE) is proposed. Firstly, the chaotic initialization based on the Tent map is adopted to initialize the population. A truncation crowding operation based on a uniform crowding mechanism and a chaotic substitution operation are introduced to the environmental selection operation of the population. Then, the differential mutation operation is operated based on a differential mutation strategy with changing scaling factor, and the mutation individuals are obtained puting the dominance relation. Finally, the evolutionary selection operation is operated and the offspring individuals are obtained by the dominance putation and the