Paper Abstract and Keywords |
Presentation |
2016-08-20 17:10
The Performance Verification of Particle Swarm Optimizer with Sensors Hiroshi Sho (KyuTech) HCS2016-52 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
For improving the search performance of basic particle swarm optimizers in dynamic environments, in this paper, we propose three methods of particle swarm optimizer with sensors(PSOS), particle swarm optimizer with inertia weight(PSOIWS), and canonical particle swarm optimizer with sensors(CPSOS), respectively. The key idea, here, is to obtain the varying solutions by the search information of particle swarm optimizer and the sensing information of sensors. According to this, the proposal leads to the improvement of search and tracking ability to the varying solutions, it is possible to solve the dynamic optimization problem efficiently. Duo to examine the tracking performance and features of different particle swarm optimizers with sensors, changing the configuration paraments (number, sensing distance) of the sensors for confirming the performance change of them. Based on the experimental results obtained, significant search and tracking capabilities of the proposed methods. i.e. PSOIWS and CPSOS, are shown. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
swarm intelligence / particle swarm optimization / sensor / tracking performance / cumulative fitness / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 185, HCS2016-52, pp. 121-126, Aug. 2016. |
Paper # |
HCS2016-52 |
Date of Issue |
2016-08-12 (HCS) |
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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HCS2016-52 |
Conference Information |
Committee |
HCS |
Conference Date |
2016-08-19 - 2016-08-20 |
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(See Japanese page) |
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Paper Information |
Registration To |
HCS |
Conference Code |
2016-08-HCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
The Performance Verification of Particle Swarm Optimizer with Sensors |
Sub Title (in English) |
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swarm intelligence |
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particle swarm optimization |
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sensor |
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tracking performance |
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cumulative fitness |
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1st Author's Name |
Hiroshi Sho |
1st Author's Affiliation |
kyushu Institute of Technology (KyuTech) |
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Speaker |
Author-1 |
Date Time |
2016-08-20 17:10:00 |
Presentation Time |
30 minutes |
Registration for |
HCS |
Paper # |
HCS2016-52 |
Volume (vol) |
vol.116 |
Number (no) |
no.185 |
Page |
pp.121-126 |
#Pages |
6 |
Date of Issue |
2016-08-12 (HCS) |
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