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Paper Abstract and Keywords
Presentation 2008-01-15 15:20
A Proposal of Particle Swarm Optimization with Diversive Curiosity
Hong Zhang, Masumi Ishikawa (Kyushu Inst. of Tech.) NC2007-92
Abstract (in Japanese) (See Japanese page) 
(in English) How to keep a balance between exploitation and exploration in Particle Swarm Optimization (PSO) search for efficiently solving various optimization problems is an important and remarkable issue. In order to handle the premature convergence problem in search process, this paper proposes a novel algorithm, called Particle Swarm Optimization with Diversive Curiosity (PSO/DC), that introduces a mechanism of diversive curiosity into PSO. A crucial idea here is to set up an indicator that can check the status of behaviors of swarm particles in search for preventing premature convergence, and when swarm particles dropped into a local minimum, they will be spontaneously reinitialized to start on finding other new solutions. Applications of the proposed method to a 2-dimensional optimization problem well demonstrate its effectiveness. The obtained results indicate that the performance (90%) of the proposal is superior in success ratio for reaching an optimal solution to the performance (60%) of the PSO optimized by EPSO.
Keyword (in Japanese) (See Japanese page) 
(in English) particle swarm optimization / evolutionary particle swarm optimization / temporally cumulative fitness function / diversive curiosity / premature convergence / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 413, NC2007-92, pp. 31-36, Jan. 2008.
Paper # NC2007-92 
Date of Issue 2008-01-08 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
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 NC2007-92

Conference Information
Committee NC  
Conference Date 2008-01-15 - 2008-01-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Centennial Hall, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning, etc. 
Paper Information
Registration To NC 
Conference Code 2008-01-NC 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Particle Swarm Optimization with Diversive Curiosity 
Sub Title (in English)  
Keyword(1) particle swarm optimization  
Keyword(2) evolutionary particle swarm optimization  
Keyword(3) temporally cumulative fitness function  
Keyword(4) diversive curiosity  
Keyword(5) premature convergence  
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Keyword(7)  
Keyword(8)  
1st Author's Name Hong Zhang  
1st Author's Affiliation Kyushu Insitute of Technology (Kyushu Inst. of Tech.)
2nd Author's Name Masumi Ishikawa  
2nd Author's Affiliation Kyushu Insitute of Technology (Kyushu Inst. of Tech.)
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Speaker Author-1 
Date Time 2008-01-15 15:20:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2007-92 
Volume (vol) vol.107 
Number (no) no.413 
Page pp.31-36 
#Pages 6 
Date of Issue 2008-01-08 (NC) 

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