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题名: Multi-population cooperative particle swarm optimization
作者: Niu B(牛奔) ; Zhu YL(朱云龙) ; He XX(何小贤)
作者部门: 先进制造技术实验室
会议名称: 8th European Conference on Artificial Life
会议日期: September 5-9, 2005
会议地点: Canterbury, ENGLAND
会议录: ADVANCES IN ARTIFICAL LIFE, PROCEEDINGS
会议录出版者: SPRINGER-VERLAG
会议录出版地: BERLIN
出版日期: 2005
页码: 874-883
收录类别: SCI ; CPCI(ISTP) ; EI
ISSN号: 0302-9743
ISBN号: 3-540-28848-1
摘要: Inspired by the phenomenon of symbiosis in natural ecosystem, a master-slave mode is incorporated into Particle Swarm Optimization (PSO), and a Multi-population Cooperative Optimization (MCPSO) is thus presented. In MCPSO, the population consists of one master swarm and several slave swarms. The slave swarms execute PSO (or its variants) independently to maintain the diversity of particles, while the master swarm enhances its particles based on its own knowledge and also the knowledge of the particles in the slave swarms. In the simulation part, several benchmark functions are performed, and the performance of the proposed algorithm is compared to the standard PSO (SPSO) to demonstrate its efficiency.
语种: 英语
产权排序: 1
WOS记录号: WOS:000233583100088
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8177
Appears in Collections:工业信息学研究室_先进制造技术研究室_会议论文

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Recommended Citation:
牛奔; 朱云龙; 何小贤.Multi-population cooperative particle swarm optimization.见:SPRINGER-VERLAG.ADVANCES IN ARTIFICAL LIFE, PROCEEDINGS,BERLIN,2005,874-883
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