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Paper Abstract and Keywords
Presentation 2011-06-24 15:40
The Search Performance of Particle Swarm Optimizer with Inertia Weight for Solving Multi-objective Optimization Problems
Hong Zhang (K.I.T.) NC2011-17
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper we investigate the search performance of a particle swarm optimizer with inertia weight (PSOIW) for solving multi-objective optimization problems. Due to obtain high search performance, we propose a new optimizer, called PSOIW$\alpha$, which realizes a combination between a local random search and the PSOIW. To demonstrate the effectiveness of the proposal, computer experiments on a suite of 2-objective optimization benchmark problems are carried out by three kind of dynamically weighted aggregation methods. We show the obtained Pareto solutions corresponding to each given problem, and clarify the search characteristics and performance effect of the PSOIW$\alpha$.
Keyword (in Japanese) (See Japanese page) 
(in English) particle swarm optimization / multi-objective optimization problem / multi-criteria / weighted aggregation / localized random search / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 96, NC2011-17, pp. 131-136, June 2011.
Paper # NC2011-17 
Date of Issue 2011-06-16 (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 NC2011-17

Conference Information
Committee NC IPSJ-BIO  
Conference Date 2011-06-23 - 2011-06-24 
Place (in Japanese) (See Japanese page) 
Place (in English) 50th Anniversary Memorial Hall, University of the Ryukyus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2011-06-NC-BIO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The Search Performance of Particle Swarm Optimizer with Inertia Weight for Solving Multi-objective Optimization Problems 
Sub Title (in English)  
Keyword(1) particle swarm optimization  
Keyword(2) multi-objective optimization problem  
Keyword(3) multi-criteria  
Keyword(4) weighted aggregation  
Keyword(5) localized random search  
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1st Author's Name Hong Zhang  
1st Author's Affiliation Kyushu Institute of Technology (K.I.T.)
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Speaker Author-1 
Date Time 2011-06-24 15:40:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2011-17 
Volume (vol) vol.111 
Number (no) no.96 
Page pp.131-136 
#Pages
Date of Issue 2011-06-16 (NC) 


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