| Presentation | 2012-04-20 Fundamental Characteristic of Hysteresis Domain Partitioning Optimization Method Kenya JIN'NO, Akifumi KUBOTA, Toshimichi SAITO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this article, we propose a novel optimization problem solver. The novel optimization problem solver is based on particle swarm optimization algorithms. The search area is discretized, the interval of the search area is controlled by the thresholds of the bipolar hysteresis. The proposed system explores the partitioning domain of the design variable of the given objective function. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | optimization / hysteresis / domain partitioning / threshold / resolution |
| Paper # | NLP2012-15 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2012/4/12(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) | Fundamental Characteristic of Hysteresis Domain Partitioning Optimization Method |
| Sub Title (in English) | |
| Keyword(1) | optimization |
| Keyword(2) | hysteresis |
| Keyword(3) | domain partitioning |
| Keyword(4) | threshold |
| Keyword(5) | resolution |
| 1st Author's Name | Kenya JIN'NO |
| 1st Author's Affiliation | EEE Dept., Nippon Institute of Technology() |
| 2nd Author's Name | Akifumi KUBOTA |
| 2nd Author's Affiliation | EEE Dept., Hosei University |
| 3rd Author's Name | Toshimichi SAITO |
| 3rd Author's Affiliation | EEE Dept., Hosei University |
| Date | 2012-04-20 |
| Paper # | NLP2012-15 |
| Volume (vol) | vol.112 |
| Number (no) | 6 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |