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Paper Abstract and Keywords
Presentation 2008-02-01 13:00
A modified Particle Swarm Optimization to search an optimal value
Kai Yamasaki, Tomokadu Kaneko, Kenya Jin'no (Kanto Gakuin Univ.) NLP2007-147
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, Particle Swarm Optimization (abbr. PSO) is paid great attention.
PSO is one of the powerful meta-heuristic algorithms for solving global optimization problems.
PSO is constructed with some agents.
Each agent calculates an evaluation value of its current location.
Also, each agent shares an information of a current optimal value of the evaluation function, and the corresponding location of the best agent. By using such information, each agent calulates own moving direction, and the location of next step. Repeating such procedure, the PSO system searches the global optimal value by swarm of agents. In this article, we propose a modified PSO system which calculates simplified moving direction. We clarify that the modified PSO excerts remarkable searching ability by using 2 kinds of benchmark function, namely Rastrigin's function and Schwefel's function.
Keyword (in Japanese) (See Japanese page) 
(in English) particle swarm optimization / optimize / multimodal function / Rastrigin's function / Schwefel's function / meta-heuristic algorithm / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 478, NLP2007-147, pp. 31-34, Jan. 2008.
Paper # NLP2007-147 
Date of Issue 2008-01-25 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 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)
Download PDF NLP2007-147

Conference Information
Committee NLP  
Conference Date 2008-01-31 - 2008-02-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2008-01-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A modified Particle Swarm Optimization to search an optimal value 
Sub Title (in English)  
Keyword(1) particle swarm optimization  
Keyword(2) optimize  
Keyword(3) multimodal function  
Keyword(4) Rastrigin's function  
Keyword(5) Schwefel's function  
Keyword(6) meta-heuristic algorithm  
Keyword(7)  
Keyword(8)  
1st Author's Name Kai Yamasaki  
1st Author's Affiliation Kanto Gakuin University (Kanto Gakuin Univ.)
2nd Author's Name Tomokadu Kaneko  
2nd Author's Affiliation Kanto Gakuin University (Kanto Gakuin Univ.)
3rd Author's Name Kenya Jin'no  
3rd Author's Affiliation Kanto Gakuin University (Kanto Gakuin Univ.)
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Speaker Author-1 
Date Time 2008-02-01 13:00:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2007-147 
Volume (vol) vol.107 
Number (no) no.478 
Page pp.31-34 
#Pages 4 
Date of Issue 2008-01-25 (NLP) 

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