| 三种混合粒子群算法比较 |
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| 引用本文： | 张捍东,方玲,岑豫皖. 三种混合粒子群算法比较[J]. 自动化与仪表, 2011, 26(7): 10-13 |
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| 作者姓名： | 张捍东 方玲 岑豫皖 |
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| 作者单位： | 安徽工业大学电气信息学院,马鞍山,243002 |
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| 基金项目： | 国家高技术研究发展计划(863计划)项目 |
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| 摘 要： | 混合粒子群算法是融合其它算法或技术特性来针对性地对基本粒子群算法进行改进的一类算法.文中对其中有代表性的三种:交叉粒子群、免疫粒子群、混沌粒子群展开了比较研究,分别从混合目的、混合基本方式、混合算法实现的关键步骤、混合算法的优化性能等多个方面对这三种混合算法进行了比较.通过这些比较,总结出了三种混合算法基本的混合方式及...
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| 关 键 词： | 混合粒子群算法 算法比较 优化性能 免疫粒子群 混沌粒子群 交叉粒子群算法 |
Comparison Among Three Kinds of Hybrid Particle Swarm Optimization Algorithms |
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| ZHANG Han-dong,FANG Ling,CEN Yu-wan. Comparison Among Three Kinds of Hybrid Particle Swarm Optimization Algorithms[J]. Automation and Instrumentation, 2011, 26(7): 10-13 |
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| Authors: | ZHANG Han-dong FANG Ling CEN Yu-wan |
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| Affiliation: | ZHANG Han-dong,FANG Ling,CEN Yu-wan(School of Electrical Engineering and Information,Anhui University of Technology,Ma'anshan,243002,China) |
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| Abstract: | Hybrid particle swarm optimization(PSO) is such a kind of algorithms,which combine other algorithms or technologies to enhance the basic PSO.This paper compares three representative hybrid PSOs: breeding PSO,immune PSO,and chaos PSO.These comparisons are carried out in following aspects: the goals for hybrid,basic hybrid modes,the key implementation steps,hybrid algorithm optimization performances and so on.Through these comparisons and analysis,three hybrid algorithms'construction,implementationand respect... |
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| Keywords: | hybrid particle swarm optimization(HPSO) algorithm comparing optimization performance immune particle swarm optimization(IPSO) chaotic particle swarm optimization(CPSO) breeding particle swarm optimization(BPSO) |
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