Presentation | 2012-04-20 Searching Ability of PSO with Non-Convergent Particles Takeshi KAMIO, Yuhei ITAKI, Hisato FUJISAKA, Kazuhisa HAEIWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Since the number of particles affects the searching diversity of PSO, the increment of particles is the simplest way to improve the searching ability of PSO. However, if PSO does not have enough control of swarm behavior, the increment of particles cannot increase the searching diversity effectively. In this report, we propose a novel PSO which consists of normal particles and searching particles. The searching particles are non-convergent ones. They are used to control the searching direction and resolution and to maintain the searching diversity. It has been confirmed by numerical simulations that our proposed PSO has high searching ability. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | PSO / searching diversity / searching ability / non-convergent particles / normal particles / searching particles |
Paper # | NLP2012-13 |
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Committee | NLP |
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Conference Date | 2012/4/12(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Searching Ability of PSO with Non-Convergent Particles |
Sub Title (in English) | |
Keyword(1) | PSO |
Keyword(2) | searching diversity |
Keyword(3) | searching ability |
Keyword(4) | non-convergent particles |
Keyword(5) | normal particles |
Keyword(6) | searching particles |
1st Author's Name | Takeshi KAMIO |
1st Author's Affiliation | Hiroshima City University() |
2nd Author's Name | Yuhei ITAKI |
2nd Author's Affiliation | Hiroshima City University |
3rd Author's Name | Hisato FUJISAKA |
3rd Author's Affiliation | Hiroshima City University |
4th Author's Name | Kazuhisa HAEIWA |
4th Author's Affiliation | Hiroshima City University |
Date | 2012-04-20 |
Paper # | NLP2012-13 |
Volume (vol) | vol.112 |
Number (no) | 6 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |