| Presentation | 2007-03-16 On Growing Particle Swarm Optimization Eiji MIYAGAWA, Toshimichi SAITO, Satoshi SUZUKI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper presents a novel optimization algorithm: particle swarm optimization with growing structure (GPSO). In the GPSO, when particles are trapped into a semi-optimal solution, a new particle is added and the particle network grows. If parameters and initial values are selected suitably, the particles can escape from the trap and can converge to the optimal solution. The algorithm efficiency is verified by basic numerical experiment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Particle Swarm Optimization / Optimization / Growing structure |
| Paper # | NC2006-197 |
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| Committee | NC |
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| Conference Date | 2007/3/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | On Growing Particle Swarm Optimization |
| Sub Title (in English) | |
| Keyword(1) | Particle Swarm Optimization |
| Keyword(2) | Optimization |
| Keyword(3) | Growing structure |
| 1st Author's Name | Eiji MIYAGAWA |
| 1st Author's Affiliation | Department of electronics, Electrical and Computer Engineering, Hosei University() |
| 2nd Author's Name | Toshimichi SAITO |
| 2nd Author's Affiliation | Department of electronics, Electrical and Computer Engineering, Hosei University |
| 3rd Author's Name | Satoshi SUZUKI |
| 3rd Author's Affiliation | Department of electronics, Electrical and Computer Engineering, Hosei University |
| Date | 2007-03-16 |
| Paper # | NC2006-197 |
| Volume (vol) | vol.106 |
| Number (no) | 590 |
| Page | pp.pp.- |
| #Pages | 4 |
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