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
Link To Document :
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