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MCPSO: A multi-swarm cooperative particle swarm optimizer

文献类型:期刊论文

作者Niu B(牛奔); Zhu YL(朱云龙); He XX(何小贤); Henry Wu
刊名Applied Mathematics and Computation
出版日期2007
卷号185期号:2页码:1050-1062
关键词Particle swarm optimization Multi-swarm Master-slave model MCPSO
ISSN号0096-3003
产权排序1
通讯作者牛奔
中文摘要This paper presents a new optimization algorithm - MCPSO, multi-swarm cooperative particle swarm optimizer, inspired by the phenomenon of symbiosis in natural ecosystems. MCPSO is based on a master-slave model, in which a population consists of one master swarm and several slave swarms. The slave swarms execute a single PSO or its variants independently to maintain the diversity of particles, while the master swarm evolves based on its own knowledge and also the knowledge of the slave swarms. According to the co-evolutionary relationship between master swarm and slave swarms, two versions of MCPSO are proposed, namely the competitive version of MCPSO (COM-MCPSO) and the collaborative version of MCPSO (COL-MCPSO), where the master swarm enhances its particles based on an antagonistic scenario or a synergistic scenario, respectively. In the simulation studies, several benchmark functions are performed, and the performances of the proposed algorithms are compared with the standard PSO (SPSO) and its variants to demonstrate the superiority of MCPSO.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Mathematics, Applied
研究领域[WOS]Mathematics
收录类别SCI ; EI ; CPCI(ISTP)
语种英语
WOS记录号WOS:000245762700026
公开日期2012-05-29
源URL[http://ir.sia.cn/handle/173321/6938]  
专题沈阳自动化研究所_工业信息学研究室_先进制造技术研究室
推荐引用方式
GB/T 7714
Niu B,Zhu YL,He XX,et al. MCPSO: A multi-swarm cooperative particle swarm optimizer[J]. Applied Mathematics and Computation,2007,185(2):1050-1062.
APA Niu B,Zhu YL,He XX,&Henry Wu.(2007).MCPSO: A multi-swarm cooperative particle swarm optimizer.Applied Mathematics and Computation,185(2),1050-1062.
MLA Niu B,et al."MCPSO: A multi-swarm cooperative particle swarm optimizer".Applied Mathematics and Computation 185.2(2007):1050-1062.

入库方式: OAI收割

来源:沈阳自动化研究所

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