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Paper Abstract and Keywords
Presentation 2013-10-28 15:15
Canonical Deterministic Particle Swarm Optimization
Kenya Jin'no (Nippon Inst. of Tech.) NLP2013-82
Abstract (in Japanese) (See Japanese page) 
(in English) A particle swarm optimization (PSO) system is one of the powerful systems for solving global optimization problems. The PSO algorithm can search an optimal value of a given evaluation function quickly compared with other proposed meta-heuristics algorithms. The conventional PSO system contains some random factors, therefore, the dynamics of the system can be regarded as stochastic dynamics. In order to analyze the dynamics rigorously, some papers pay attention to deterministic PSO systems which does not contain any stochastic factors. According to these results, the eigenvalues of the system influence on the dynamics of the particles. Namely, the searching ability is depended on the eigenvalue. In order to analyze the characteristic of the dynamics of the particle, we have proposed a canonical deterministic PSO. In this article, we introduce the canonical deterministic PSO. Since the canonical deterministic PSO does not become unevenly search points, the optimal solution can be searched.
Keyword (in Japanese) (See Japanese page) 
(in English) particle swarm optimization / canonical / deterministic / transfer matrix / eigenvalue / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 271, NLP2013-82, pp. 69-72, Oct. 2013.
Paper # NLP2013-82 
Date of Issue 2013-10-21 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee NLP  
Conference Date 2013-10-28 - 2013-10-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Sanport Hall Takamatsu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2013-10-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Canonical Deterministic Particle Swarm Optimization 
Sub Title (in English)  
Keyword(1) particle swarm optimization  
Keyword(2) canonical  
Keyword(3) deterministic  
Keyword(4) transfer matrix  
Keyword(5) eigenvalue  
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1st Author's Name Kenya Jin'no  
1st Author's Affiliation Nippon Institute of Technology (Nippon Inst. of Tech.)
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Speaker Author-1 
Date Time 2013-10-28 15:15:00 
Presentation Time 15 minutes 
Registration for NLP 
Paper # NLP2013-82 
Volume (vol) vol.113 
Number (no) no.271 
Page pp.69-72 
#Pages
Date of Issue 2013-10-21 (NLP) 


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