| Presentation | 2008-02-01 A modified Particle Swarm Optimization to search an optimal value Kai YAMASAKI, Tomokadu KANEKO, Kenya JIN'NO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, Particle Swarm Optimization (abbr. PSO) is paid great attention. PSO is one of the powerful meta-heuristic algorithms for solving global optimization problems. PSO is constructed with some agents. Each agent calculates an evaluation value of its current location. Also, each agent shares an information of a current optimal value of the evaluation function, and the corresponding location of the best agent. By using such information, each agent calulates own moving direction, and the location of next step. Repeating such procedure, the PSO system searches the global optimal value by swarm of agents. In this article, we propose a modified PSO system which calculates simplified moving direction. We clarify that the modified PSO excerts remarkable searching ability by using 2 kinds of benchmark function, namely Rastrigin's function and Schwefel's function. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | particle swarm optimization / optimize / multimodal function / Rastrigin's function / Schwefel's function / meta-heuristic algorithm |
| Paper # | NLP2007-147 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2008/1/25(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) | A modified Particle Swarm Optimization to search an optimal value |
| Sub Title (in English) | |
| Keyword(1) | particle swarm optimization |
| Keyword(2) | optimize |
| Keyword(3) | multimodal function |
| Keyword(4) | Rastrigin's function |
| Keyword(5) | Schwefel's function |
| Keyword(6) | meta-heuristic algorithm |
| 1st Author's Name | Kai YAMASAKI |
| 1st Author's Affiliation | Network and Multi-Media Engineering, Faculty of Engineering, Kanto Gakuin University() |
| 2nd Author's Name | Tomokadu KANEKO |
| 2nd Author's Affiliation | Network and Multi-Media Engineering, Faculty of Engineering, Kanto Gakuin University |
| 3rd Author's Name | Kenya JIN'NO |
| 3rd Author's Affiliation | Network and Multi-Media Engineering, Faculty of Engineering, Kanto Gakuin University |
| Date | 2008-02-01 |
| Paper # | NLP2007-147 |
| Volume (vol) | vol.107 |
| Number (no) | 478 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |