| Title: | a modified particle swarm optimization via particle visual modeling analysis |
| Author: | Zhao Yuxin
; Zu Wei
; Zeng Haitao
|
| Conference Name: | 2nd International Conference on Bio-inspired Computing
|
| Conference Date: | SEP 14-17,
|
| Issued Date: | 2009
|
| Conference Place: | Zhengzhou, PEOPLES R CHINA
|
| Keyword: | Particle swarm optimization
; Visual modeling method
; Premature convergence
; Particle-distribution-degree
|
| Publisher: | COMPUTERS & MATHEMATICS WITH APPLICATIONS
|
| Publish Place: | THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
|
| ISSN: | 0898-1221
|
| Department: | Zhao, 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 Abstract: | A 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. |
| Language: | 英语
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| Content Type: | 会议论文
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| URI: | http://ir.iscas.ac.cn/handle/311060/8188
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| Appears in Collections: | 互联网软件技术实验室 _会议论文
|
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| Recommended Citation: | |
Zhao Yuxin,Zu Wei,Zeng Haitao. a modified particle swarm optimization via particle visual modeling analysis[C]. 见:2nd International Conference on Bio-inspired Computing. Zhengzhou, PEOPLES R CHINA. SEP 14-17,.
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