DocumentCode
441943
Title
A modified particle swarm optimization algorithm
Author
Zhang, Qian-Li ; Li, Xing ; Tran, Quang-Ahn
Author_Institution
CERNET Center, Tsinghua Univ., Beijing, China
Volume
5
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
2993
Abstract
A modified particle swarm optimization (PSO) algorithm is proposed in this paper to avoid premature convergence with the introduction of mutation operation. The performance of this algorithm is compared to the standard PSO algorithm and experiments indicate that it has better performance with little overhead.
Keywords
evolutionary computation; particle swarm optimisation; evolutionary computation; mutation operation; particle swarm optimization; premature convergence avoidance; swarm intelligence; Algorithm design and analysis; Computational modeling; Convergence; Evolutionary computation; Genetic algorithms; Genetic mutations; Machine learning algorithms; Multidimensional systems; Particle swarm optimization; Velocity control; Evolutionary computation; Particle Swarm Optimization (PSO); Swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527455
Filename
1527455
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