DocumentCode
175760
Title
Comparative study on several PSO algorithms
Author
Weichang Jiang ; Yating Zhang ; Ruihua Wang
Author_Institution
Electron. Inf. & Control Eng. Coll., Beijing Univ. of Technol., Beijing, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
1117
Lastpage
1119
Abstract
With the development of intelligent algorithm, GA and PSO have become the hot spot for the study on multi-objective optimization in recently years. Information sharing is the core of PSO algorithm, Comparing with GA, PSO algorithm has less variables to adjust and is easy to achieve, so it is widely used in engineering. This paper focus on the comparation on several PSO algorithm and introduce a kind of PSO algorithm that is better in performance than others.
Keywords
genetic algorithms; particle swarm optimisation; PSO algorithms; comparative study; genetic algorithm; information sharing; intelligent algorithm; multiobjective optimization; Algorithm design and analysis; Birds; Educational institutions; Heuristic algorithms; Optimization; Particle swarm optimization; Testing; Intelligent Algorithm; PSO Algorithm; SelPSO;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852332
Filename
6852332
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