| Presentation | 2018-01-27 The Search Feature of Particle Swarm Optimizer with Sensors in Dynamic Environment Hiroshi Sho, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to perform the search of particle swarm optimizer under dynamic environment, as a previous study, author has proposed three methods which are particle swarm optimizer with sensors (PSOS), particle swarm optimizer with inertia weight with sensors (PSOIWS) and canonical particle swarm optimizer with sensors (CPSOS), respectively. For realizing better search performance and efficiency by using these methods, in this paper, we combine the obtained search information and sensor information to determine the most position of the changed best solution (moving target during the search process. Then, based on the measured results, it is possible to track the moving target promptly. In our simulation experiments, with changing the parameters (number, sensing distance) of the sensors, we investigate the search feature of each method against the variable speed 8 type of tracking problems. Based on analyzing results, we reveal the outstanding tracking ability of PSOIWS and CPSOS methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | swarm intelligence / particle swarm optimization / sensor / tracking ability / cumulative fitness |
| Paper # | NC2017-63 |
| Date of Issue | 2018-01-19 (NC) |
| 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) | The Search Feature of Particle Swarm Optimizer with Sensors in Dynamic Environment |
| Sub Title (in English) | |
| Keyword(1) | swarm intelligence |
| Keyword(2) | particle swarm optimization |
| Keyword(3) | sensor |
| Keyword(4) | tracking ability |
| Keyword(5) | cumulative fitness |
| 1st Author's Name | Hiroshi Sho |
| 1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
| Date | 2018-01-27 |
| Paper # | NC2017-63 |
| Volume (vol) | vol.117 |
| Number (no) | NC-417 |
| Page | pp.pp.77-82(NC), |
| #Pages | 6 |
| Date of Issue | 2018-01-19 (NC) |