Presentation 2009-07-14
A Competitive PSO Based on Evaluation with Priority for Finding Plural Solutions
Yu TAGUCHI, Hidehiro NAKANO, Arata MIYAUCHI,
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Abstract(in English) It is known that Particle Swarm Optimization (PSO) is a kind of evolutionary algorithm that can efficiently find the solution in continuous space. However, in the common PSO, it is difficult to find multiple solutions because each particle rapidly converges on a single suboptimal solution. This paper proposes new PSO that can efficiently find the multiple solutions by dividing particles into plural groups with priority. Through numerical experiments, the effectivity of the proposed PSO is discussed. Also, we show that the distance of each obtained solution in the solution space can be easily controlled by the parameter.
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Keyword(in English) Particle Swarm Optimization / Metaheuristics / Global Optimization / Plural Solutions
Paper # NLP2009-29,NC2009-22
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Committee NLP
Conference Date 2009/7/6(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Competitive PSO Based on Evaluation with Priority for Finding Plural Solutions
Sub Title (in English)
Keyword(1) Particle Swarm Optimization
Keyword(2) Metaheuristics
Keyword(3) Global Optimization
Keyword(4) Plural Solutions
1st Author's Name Yu TAGUCHI
1st Author's Affiliation Tokyo City University()
2nd Author's Name Hidehiro NAKANO
2nd Author's Affiliation Tokyo City University
3rd Author's Name Arata MIYAUCHI
3rd Author's Affiliation Tokyo City University
Date 2009-07-14
Paper # NLP2009-29,NC2009-22
Volume (vol) vol.109
Number (no) 124
Page pp.pp.-
#Pages 4
Date of Issue