| Presentation | 2012-05-28 Solution Search Performance by Refer to the Best Position of the Particle Swarm Optimization Takuya SHINDO, Kenya JIN'NO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Movement of particles and the determination of the solution search direction in the conventional particle swarm optimization(PSO) are made by the best position and the best position of all the particles of a swarm which the particle itself obtained in the past. The learning strategy based on such a past experience can be used easily. On the other hand, the technique of raising the solution search performance of PSO is proposed by using Orthogonal Learning(OL) which is a more efficient learning strategy. In this article, the numerical simulation using a benchmarking function compares the solution search performance of the conventional PSO and PSO using OL. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | particle swarm optimization / pso / orthogonal learning / orthogonal experimental desing |
| Paper # | NLP2012-30 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2012/5/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | Solution Search Performance by Refer to the Best Position of the Particle Swarm Optimization |
| Sub Title (in English) | |
| Keyword(1) | particle swarm optimization |
| Keyword(2) | pso |
| Keyword(3) | orthogonal learning |
| Keyword(4) | orthogonal experimental desing |
| 1st Author's Name | Takuya SHINDO |
| 1st Author's Affiliation | Guraduate School of Electical Engineering, Nippon Institute of Technology() |
| 2nd Author's Name | Kenya JIN'NO |
| 2nd Author's Affiliation | Nippon Institute of Technology |
| Date | 2012-05-28 |
| Paper # | NLP2012-30 |
| Volume (vol) | vol.112 |
| Number (no) | 69 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |