| Presentation | 2018-01-27 Improvement in Search Capability of PSO with Linked Random Method Tetsuya Sato, Toshiya Iwai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the update rule of the velocity for PSO, random numbers are stochastically independent of dimensional components. This independency causes the velocity anisotropy for particles that reduces the search capability for minimization problems of multimodal non-separable functions. On the other hand, when the linked random method is applied to PSO, that is, random numbers for different velocity components are made equal, the anisotropy is reduced although it reduces the search capability. In this study, numerical experiments for minimization problems of various benchmark functions are performed by PSO with both linked and unlinked random methods in order to investigate the reason of the search capability reduction and the dependence of inertia coefficient W on the search capability. As a result, it is found that (i) both PSO and lbest PSO with linked random method show the high search capability for the parameter region 0.6 |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | PSO / Lbest Model / Linked Random Method / Search Capability |
| Paper # | NLP2017-94 |
| Date of Issue | 2018-01-19 (NLP) |
| Conference Information | |
| Committee | MBE / NC / NLP |
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| Conference Date | 2018/1/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science, |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) / Norikazu Takahashi(Okayama Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) / Norikazu Takahashi(Tokyo Inst. of Tech.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / Toshihiro Tachibana(Shonan Inst. of Tech.) / Masayuki Kimura(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing / 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) | Improvement in Search Capability of PSO with Linked Random Method |
| Sub Title (in English) | |
| Keyword(1) | PSO |
| Keyword(2) | Lbest Model |
| Keyword(3) | Linked Random Method |
| Keyword(4) | Search Capability |
| 1st Author's Name | Tetsuya Sato |
| 1st Author's Affiliation | Nihon University(Nihon Univ.) |
| 2nd Author's Name | Toshiya Iwai |
| 2nd Author's Affiliation | Nihon University(Nihon Univ.) |
| Date | 2018-01-27 |
| Paper # | NLP2017-94 |
| Volume (vol) | vol.117 |
| Number (no) | NLP-415 |
| Page | pp.pp.45-50(NLP), |
| #Pages | 6 |
| Date of Issue | 2018-01-19 (NLP) |