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多粒子群协同进化算法 被引量：24

Algorithm of multi-PSO co-evolution based on GA and PSO
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摘要 针对遗传算法收敛速度慢且易于陷入局部最优,而微粒群算法存在早熟的现象,提出了一种多粒子群协同进化算法,在多个粒子群协同进化的同时,通过构建基因库,使较劣的粒子根据基因库进行遗传操作,用4个基准函数进行实验表明,算法MP-SOE3性能明显优于基本PSO算法,最后对该算法进行了推广,给出了一种基于计算智能的多群协同进化模型。 Firstly introduced genetic algorithms and particle swarm optimization algorithms,based on which an algorithm of multipso co-evolution is proposed.Four benchmark function are tested and shown that the performance of the MPSOE3 algorithm is better than basic PSO algorithm.Lastly extended the algorithm and given a model of multi-swarm co-evolution,which is based on computational intelligence.
作者 许珂 刘栋
机构地区 德州学院计算机系 山东师范大学信息科学与工程学院
出处 《计算机工程与应用》 CSCD 北大核心 2009年第3期51-54,共4页 Computer Engineering and Applications
基金 山东省自然科学基金重大项目(No.Z2004G02) 山东省教育厅计划项目(No.J05G01) "泰山学者"建设工程专项经费资助
关键词 遗传算法 粒子群优化 协同进化 多种群 genetic algorithms Particle Swarm Optimization（PSO） co-evolution muhi-swarm
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献12

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二级参考文献16

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共引文献230

同被引文献205

引证文献24

二级引证文献85

计算机工程与应用
2009年 第3期

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