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CLC number: TP301.6

On-line Access: 2008-05-02

Received: 2007-05-31

Revision Accepted: 2007-08-04

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.6 P.786~790

http://doi.org/10.1631/jzus.A071278


θ-PSO: a new strategy of particle swarm optimization


Author(s):  Wei-min ZHONG, Shao-jun LI, Feng QIAN

Affiliation(s):  State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China; more

Corresponding email(s):   wmzhong@ecust.edu.cn, lishaojun@ecust.edu.cn, fqian@ecust.edu.cn

Key Words:  Particle swarm optimization (PSO), Phase angle, Benchmark function


Wei-min ZHONG, Shao-jun LI, Feng QIAN. θ-PSO: a new strategy of particle swarm optimization[J]. Journal of Zhejiang University Science A, 2008, 9(6): 786~790.

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author="Wei-min ZHONG, Shao-jun LI, Feng QIAN",
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doi="10.1631/jzus.A071278"
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T1 - θ-PSO: a new strategy of particle swarm optimization
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A071278


Abstract: 
particle swarm optimization (PSO) is an efficient, robust and simple optimization algorithm. Most studies are mainly concentrated on better understanding of the standard PSO control parameters, such as acceleration coefficients, etc. In this paper, a more simple strategy of PSO algorithm called θ-PSO is proposed. In θ-PSO, an increment of phase angle vector replaces the increment of velocity vector and the positions are decided by the mapping of phase angles. Benchmark testing of nonlinear functions is described and the results show that the performance of θ-PSO is much more effective than that of the standard PSO.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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