| Presentation | 2016-09-14 A study of the solution search performance in the PSO whose particle generates multiple solution candidates Keita Oida, Kenya Jin'no, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | One of meta-heuristics is a particle swarm optimization (PSO). Since the parameter of the velocity of the particles contains a random number factor, the convergence speed of the particles is uneven. To overcome this problem, we propose a PSO whose particle generates multiple solution candidates, and we investigate the solution search performance of the proposed PSO by some numerical simulations. By using some well-known benchmark functions, we compare the solution search performance of the proposed PSO with a conventional PSO. As a result, we confirm the improvement of the solution search performance in the case of multi-modal functions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Particle Swarm Optimization / Optimization problem / solution search performance / multiple solution candidates |
| Paper # | NLP2016-52 |
| Date of Issue | 2016-09-07 (NLP) |
| Conference Information | |
| Committee | NLP |
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| Conference Date | 2016/9/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Konan Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hisato Fujisaka(Hiroshima City Univ.) |
| Vice Chair | Masaharu Adachi(Tokyo Denki Univ.) |
| Secretary | Masaharu Adachi(Konan Univ.) |
| Assistant | Hiroyuki Asahara(Okayama Univ. of Science) / Toshihiro Tachibana(Shonan Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of the solution search performance in the PSO whose particle generates multiple solution candidates |
| Sub Title (in English) | |
| Keyword(1) | Particle Swarm Optimization |
| Keyword(2) | Optimization problem |
| Keyword(3) | solution search performance |
| Keyword(4) | multiple solution candidates |
| 1st Author's Name | Keita Oida |
| 1st Author's Affiliation | Nippon Institute of Technology(NIT) |
| 2nd Author's Name | Kenya Jin'no |
| 2nd Author's Affiliation | Nippon Institute of Technology(NIT) |
| Date | 2016-09-14 |
| Paper # | NLP2016-52 |
| Volume (vol) | vol.116 |
| Number (no) | NLP-215 |
| Page | pp.pp.41-44(NLP), |
| #Pages | 4 |
| Date of Issue | 2016-09-07 (NLP) |