| 微粒群优化算法 |
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| 引用本文： | 王元元,薛继华.微粒群优化算法[J].南通纺织职业技术学院学报,2009,9(1):21-24. |
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| 作者姓名： | 王元元 薛继华 |
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| 作者单位： | 南通职业大学,南通,226007 |
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| 摘 要： | 微粒群算法是继蚁群算法之后提出的又一种新型的进化计算技术。具有典型的群体智能的特性．介绍了微粒群算法的基本原理及其改进算法。从群体组织与进化以及混合微粒群算法等方面对国内外微粒群算法的研究进展进行综述．
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| 关 键 词： | 进化计算 微粒群算法 群体智能 |
Particle Swarm Optimization Algorithm |
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| WANG Yuan-yuan,XUE Ji-hua.Particle Swarm Optimization Algorithm[J].Journal of Nantong Textile Vocational Technology college,2009,9(1):21-24. |
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| Authors: | WANG Yuan-yuan XUE Ji-hua |
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| Affiliation: | Nantong Vocational College;Nantong 226007;China |
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| Abstract: | Particle swarm optimization (PSO) with the typical characteristic of swarm intelligence is a kind of novel evolution algorithm after ant colony algorithm. First,the basic principles of PSO and improved algorithm were introduced. Then,the research progress on PSO algorithm was summarized in such aspects as organization and evolution of population, hybrid PSO algorithm etc. |
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| Keywords: | evolution computation particle swarm optimization（PSO） swarm intelligence |
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