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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Particle Swarm Optimization / Metaheuristics / Global Optimization / Plural Solutions |
Paper # | NLP2009-29,NC2009-22 |
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Committee | NLP |
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Conference Date | 2009/7/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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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 |
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