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Paper Abstract and Keywords
Presentation 2013-05-27 14:15
Dynamics of Particle Swarm Optimization and Its Network Structure
Kenya Jin'no (Nippon Inst. of Tech.) NLP2013-12
Abstract (in Japanese) (See Japanese page) 
(in English) This article analyzes the convergence property of the particle swarm optimization. The inter-particle communication of the particle swarm optimization is realized by the past history of the neighbors and depends on the network structure of the swarm. We focus on an average path length of the network, and we clarify the relationship between the average path length and its searching performance. The result indicates that a long average path length is effective for multi-modal functions and multi-optima problems.
Moreover, we define an index that means the variance of the personal best of each particle. We measure a diversity of the PSO system by using this index. The simulation results indicate that the network topology with long path length has the diversity.
Keyword (in Japanese) (See Japanese page) 
(in English) particle swarm optimization / network structure / variance / diversity / average path length / multi-modal function / multi-optima problem /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 69, NLP2013-12, pp. 17-20, May 2013.
Paper # NLP2013-12 
Date of Issue 2013-05-20 (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)
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Conference Information
Committee NLP  
Conference Date 2013-05-27 - 2013-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Event hall, Central Library, Fukuoka University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2013-05-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamics of Particle Swarm Optimization and Its Network Structure 
Sub Title (in English)  
Keyword(1) particle swarm optimization  
Keyword(2) network structure  
Keyword(3) variance  
Keyword(4) diversity  
Keyword(5) average path length  
Keyword(6) multi-modal function  
Keyword(7) multi-optima problem  
Keyword(8)  
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 2013-05-27 14:15:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2013-12 
Volume (vol) vol.113 
Number (no) no.69 
Page pp.17-20 
#Pages
Date of Issue 2013-05-20 (NLP) 


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