DocumentCode
3501934
Title
Improvement of Particle Swarm Optimization Based on Neighborhood Cognizance and Swarm Decision
Author
Zhu Meijie ; Liu Hanxing ; Sun WeiWe ; Zhu Tonglin
Author_Institution
Sch. of Inf., South China Agric. Univ., Guangzhou
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
3669
Lastpage
3672
Abstract
The original PSO usually converges prematurely, and falls into the local optimal solution. Aimed at the shortcoming of PSO, this paper put forward Improved PSO based on neighborhood cognizance (NCPSO) and improved NCPSO based on Swarm Decision (SDNCPSO). These two improved PSO can reduce the possibility of converging prematurely. The results of experiment prove that these two improved PSO can improve the performance of global convergence in PSO and make PSO converge to global optimal solution faster.
Keywords
data mining; particle swarm optimisation; PSO; data mining; neighborhood cognizance; particle swarm optimization; swarm decision; Biological system modeling; Convergence; Data mining; Distributed computing; Equations; Evolution (biology); Evolutionary computation; Informatics; Particle swarm optimization; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.907
Filename
4340682
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