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Paper Abstract and Keywords
Presentation 2016-12-13 10:30
Particle Swarm Optimization with Refractory Period of Particle Velocity Update
Yuki Nagano, Hideharu Toda (Chukyo Univ.), Masatoshi Sato (Tokyo Metropolitan Univ.), Hisashi Aomori (Chukyo Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Particle Swarm Optimization (PSO) is one of the metaheuristics where each particles in a swarm searches an optimal solution of the given objective function.
Because of the succinctness of its algorithm, the implementation cost of the PSO in software and hardware is very low, and it is expected to be applied in various problems.
However, the global optimization of multimodal objective functions utilizes the PSO is very difficult, due to the fact that particles are easy to fall into local optimums in them.
In this paper, to deal with this difficulty, the PSO with refractory period of particle velocity update is proposed.
In the event of the particle velocity update, if a particle is located near the global best called gbest, velocity of particle will be lost.
To prevent this velocity lost, we give refractory periods for a particle. In refractory periods, a particle keeps its last velocity.
In order to comfirm the effectiveness of the proposed method, the proposed method was applied to various benchmark functions.
The experimental results showed that the proposed method has a high search performance in the high dimensonal multimodal functions compared with conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Particle Swarm Optimization / Refractory Period / Search Perfomance / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 353, NLP2016-94, pp. 55-59, Dec. 2016.
Paper # NLP2016-94 
Date of Issue 2016-12-05 (NLP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee NLP  
Conference Date 2016-12-12 - 2016-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Chukyo Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2016-12-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Particle Swarm Optimization with Refractory Period of Particle Velocity Update 
Sub Title (in English)  
Keyword(1) Particle Swarm Optimization  
Keyword(2) Refractory Period  
Keyword(3) Search Perfomance  
1st Author's Name Yuki Nagano  
1st Author's Affiliation Chukyo University (Chukyo Univ.)
2nd Author's Name Hideharu Toda  
2nd Author's Affiliation Chukyo University (Chukyo Univ.)
3rd Author's Name Masatoshi Sato  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
4th Author's Name Hisashi Aomori  
4th Author's Affiliation Chukyo University (Chukyo Univ.)
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Date Time 2016-12-13 10:30:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2016-94 
Volume (vol) IEICE-116 
Number (no) no.353 
Page pp.55-59 
#Pages IEICE-5 
Date of Issue IEICE-NLP-2016-12-05 

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