ISCAS OpenIR  > 互联网软件技术实验室
particle swarm optimization with escape velocity
Wang Xiuli; Wang Yongji; Zeng Haitao; Zhou Hui
2006
Conference NameInternational Conference on Computational-Intelligence and Security
Source2006 International Conference on Computational Intelligence and Security, ICCIAS 2006
Pages457-460
Conference DateNOV 03-06,
Conference PlaceGuangzhou, PEOPLES R CHINA
Indexed TypeEI
Publish Place345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher2006 International Conference on Computational Intelligence and Security, Pts 1 and 2, Proceedings
ISBN978-1-4244-0604-3
DepartmentChinese Acad Sci, Inst Software, Beijing, Peoples R China.
English AbstractThis paper presents a model of Particle Swarm Optimization with Escape Velocity (EVPSO) in order to overcome premature convergence in the basic Particle Swarm Optimization (PSO). The EVPSO model equips particles with the escape velocity to avo
KeywordArtificial Intelligence Computer Simulation Mathematical Models
SponsorshipIEEE Hong Kong Computat Intelligence Chapter, Guangdong Univ Technol, Xidian Univ, Hong Kong Baptist Univ, Jian Univ
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12044
Collection互联网软件技术实验室
Recommended Citation
GB/T 7714
Wang Xiuli,Wang Yongji,Zeng Haitao,et al. particle swarm optimization with escape velocity[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:2006 International Conference on Computational Intelligence and Security, Pts 1 and 2, Proceedings,2006:457-460.
Files in This Item:
File Name/Size DocType Version Access License
04072129.pdf(4587KB) 开放获取--Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang Xiuli]'s Articles
[Wang Yongji]'s Articles
[Zeng Haitao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang Xiuli]'s Articles
[Wang Yongji]'s Articles
[Zeng Haitao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang Xiuli]'s Articles
[Wang Yongji]'s Articles
[Zeng Haitao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.