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) |
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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) |
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particle swarm optimization |
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multi-objective optimization problem |
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multi-criteria |
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weighted aggregation |
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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 |
6 |
Date of Issue |
2011-06-16 (NC) |
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