Paper Abstract and Keywords |
Presentation |
2017-11-05 13:10
Analysis of solution search procedure of particle swarm optimization Seinosuke Ishikawa, Kenya Jin'no (NIT) NLP2017-65 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to clarify the solution search procedure of the particle swarm optimization, we have proposed a deterministic particle swarm optimization method which excepts stochastic factors. As a result, we have clarified the fundamental solution search behavior of the particle swarm optimization based on the dynamical analysis of the behavior of the deterministic particle swarm optimization.However,the solution search ability of the deterministic particle swarm optimization is inferior to the stochastic particle swarm optimization. In this article, we clarify the difference between the deterministic system and the stochastic system. We investigate factors contributing to the solution search performance.We clarify the mechanism necessary for solution search from the results of dynamical system analysis. Thus, we propose a novel simple solution search procedure introducing the desirable mechanism based on the particle swarm optimization. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
particle swarm optimization / deterministic system / search point distribution / dynamical system analysis / difference equation / optimization / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 272, NLP2017-65, pp. 1-6, Nov. 2017. |
Paper # |
NLP2017-65 |
Date of Issue |
2017-10-29 (NLP) |
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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NLP2017-65 |
Conference Information |
Committee |
NLP |
Conference Date |
2017-11-05 - 2017-11-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Research Institute of Electrical Communication Tohoku University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Applications of nonlinear complex systems theory to existing nonlinear complex real-systems, etc |
Paper Information |
Registration To |
NLP |
Conference Code |
2017-11-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Analysis of solution search procedure of particle swarm optimization |
Sub Title (in English) |
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Keyword(1) |
particle swarm optimization |
Keyword(2) |
deterministic system |
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search point distribution |
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dynamical system analysis |
Keyword(5) |
difference equation |
Keyword(6) |
optimization |
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1st Author's Name |
Seinosuke Ishikawa |
1st Author's Affiliation |
Nippon Institute of Technology (NIT) |
2nd Author's Name |
Kenya Jin'no |
2nd Author's Affiliation |
Nippon Institute of Technology (NIT) |
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Speaker |
Author-1 |
Date Time |
2017-11-05 13:10:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2017-65 |
Volume (vol) |
vol.117 |
Number (no) |
no.272 |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2017-10-29 (NLP) |
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