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a modified particle swarm optimization via particle visual modeling analysis
Zhao Yuxin; Zu Wei; Zeng Haitao
2009
Conference Name2nd International Conference on Bio-inspired Computing
Pages2022-2029
Conference DateSEP 14-17,
Conference PlaceZhengzhou, PEOPLES R CHINA
Publish PlaceTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
PublisherCOMPUTERS & MATHEMATICS WITH APPLICATIONS
ISSN0898-1221
DepartmentZhao, Yuxin Harbin Inst Technol, Sch Aerosp, Harbin 150006, Peoples R China. Zhao, Yuxin; Zu, Wei Harbin Engn Univ, Sch Automat, Harbin 150001, Peoples R China. Zeng, Haitao Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
English AbstractA particle is treated as a whole individual in all researches on particle swarm optimization (PSO) currently, these are not concerned with the information of every particles dimensional vector. A visual modeling method describing particles dimensional vector behavior is presented in this paper. Based on the analysis of visual modeling, the reason for premature convergence and diversity loss in PSO is explained, and a new modified algorithm is proposed to ensure the rational flight of every particles dimensional component. Meanwhile, two parameters of particle-distribution-degree and particle-dimension-distance are introduced into the proposed algorithm in order to avoid premature convergence. Simulation results of the new PSO algorithm show that it has a better ability of finding the global optimum, and still keeps a rapid convergence as with the standard PSO. (c) 2008 Elsevier Ltd. All rights reserved.
KeywordParticle Swarm Optimization Visual Modeling Method Premature Convergence Particle-distribution-degree
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/8188
Collection互联网软件技术实验室
Recommended Citation
GB/T 7714
Zhao Yuxin,Zu Wei,Zeng Haitao. a modified particle swarm optimization via particle visual modeling analysis[C]. THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND:COMPUTERS & MATHEMATICS WITH APPLICATIONS,2009:2022-2029.
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