Presentation | 2009-07-14 Growing particle swarm optimizer with a population-dependent parameter Chihiro KUROSU, Toshimichi SAITO, Kenya JIN'NO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Particle swarm optimizer with growing structure is considered in this paper. If a particle exploring the optimum is stagnated then a new particle is born and the swarm can grow depending on the property of objective problems. In order to control the growing, we introduce an acceleration parameter that attenuates as the number of particles increases. Performing numerical experiments for typical benchmarks, the algorithm efficiency is evaluated in several key indicators such as success rate, the number of iterations and the number of particles. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | PSO / Optimization / Swarm Intelligence |
Paper # | NLP2009-32,NC2009-25 |
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Committee | NC |
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Conference Date | 2009/7/6(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Growing particle swarm optimizer with a population-dependent parameter |
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Keyword(1) | PSO |
Keyword(2) | Optimization |
Keyword(3) | Swarm Intelligence |
1st Author's Name | Chihiro KUROSU |
1st Author's Affiliation | EE Dept., Hosei University() |
2nd Author's Name | Toshimichi SAITO |
2nd Author's Affiliation | EE Dept., Hosei University |
3rd Author's Name | Kenya JIN'NO |
3rd Author's Affiliation | EE Dept., Nippon Institute of Technology |
Date | 2009-07-14 |
Paper # | NLP2009-32,NC2009-25 |
Volume (vol) | vol.109 |
Number (no) | 125 |
Page | pp.pp.- |
#Pages | 5 |
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