Paper Abstract and Keywords |
Presentation |
2008-02-01 13:00
A modified Particle Swarm Optimization to search an optimal value Kai Yamasaki, Tomokadu Kaneko, Kenya Jin'no (Kanto Gakuin Univ.) NLP2007-147 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, Particle Swarm Optimization (abbr. PSO) is paid great attention.
PSO is one of the powerful meta-heuristic algorithms for solving global optimization problems.
PSO is constructed with some agents.
Each agent calculates an evaluation value of its current location.
Also, each agent shares an information of a current optimal value of the evaluation function, and the corresponding location of the best agent. By using such information, each agent calulates own moving direction, and the location of next step. Repeating such procedure, the PSO system searches the global optimal value by swarm of agents. In this article, we propose a modified PSO system which calculates simplified moving direction. We clarify that the modified PSO excerts remarkable searching ability by using 2 kinds of benchmark function, namely Rastrigin's function and Schwefel's function. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
particle swarm optimization / optimize / multimodal function / Rastrigin's function / Schwefel's function / meta-heuristic algorithm / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 478, NLP2007-147, pp. 31-34, Jan. 2008. |
Paper # |
NLP2007-147 |
Date of Issue |
2008-01-25 (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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NLP2007-147 |
Conference Information |
Committee |
NLP |
Conference Date |
2008-01-31 - 2008-02-01 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2008-01-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A modified Particle Swarm Optimization to search an optimal value |
Sub Title (in English) |
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Keyword(1) |
particle swarm optimization |
Keyword(2) |
optimize |
Keyword(3) |
multimodal function |
Keyword(4) |
Rastrigin's function |
Keyword(5) |
Schwefel's function |
Keyword(6) |
meta-heuristic algorithm |
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Keyword(8) |
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1st Author's Name |
Kai Yamasaki |
1st Author's Affiliation |
Kanto Gakuin University (Kanto Gakuin Univ.) |
2nd Author's Name |
Tomokadu Kaneko |
2nd Author's Affiliation |
Kanto Gakuin University (Kanto Gakuin Univ.) |
3rd Author's Name |
Kenya Jin'no |
3rd Author's Affiliation |
Kanto Gakuin University (Kanto Gakuin Univ.) |
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Speaker |
Author-1 |
Date Time |
2008-02-01 13:00:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2007-147 |
Volume (vol) |
vol.107 |
Number (no) |
no.478 |
Page |
pp.31-34 |
#Pages |
4 |
Date of Issue |
2008-01-25 (NLP) |
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