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| Presentation | 2018-04-27 16:35 A Particle Swarm Optimizer Based on Periodically Swiched Particle Networks Santana Sato, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.)  NLP2018-27 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose a method to periodically switch the couplings between particles in Particle Swarm Optimization. When the coupling is global, the solution information of each particle propagates quickly. This makes it possible to obtain a solution at high speed. On the other hand, when the coupling is local, the propagation of information is delayed, so that each particle can hold various solutions and can improve the quality of the finally obtained solution. In the proposed method, by switching these combinations periodically, it is possible to achieve compatibility between the solution quality and the search speed. Also, by adjusting the frequency of using these combinations, we can control the search characteristics according to problems. We perform numerical experiments and confirm the effectiveness of the proposed method. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Particle Swarm Optimization / Metaheuristics / Optimization Problem / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 15, NLP2018-27, pp. 133-137, April 2018. | |
| Paper # | NLP2018-27 | |
| Date of Issue | 2018-04-19 (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) | |
| Download PDF | NLP2018-27 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2018-04-26 - 2018-04-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kumaoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Discrete Dynamical Systems, Sequences, etc |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2018-04-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Particle Swarm Optimizer Based on Periodically Swiched Particle Networks |
| Sub Title (in English) | |
| Keyword(1) | Particle Swarm Optimization |
| Keyword(2) | Metaheuristics |
| Keyword(3) | Optimization Problem |
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| 1st Author's Name | Santana Sato |
| 1st Author's Affiliation | Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name | Hidehiro Nakano |
| 2nd Author's Affiliation | Tokyo City University (Tokyo City Univ.) |
| 3rd Author's Name | Arata Miyauchi |
| 3rd Author's Affiliation | Tokyo City University (Tokyo City Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-04-27 16:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2018-27 |
| Volume (vol) | vol.118 |
| Number (no) | no.15 |
| Page | pp.133-137 |
| #Pages | 5 |
| Date of Issue | 2018-04-19 (NLP) |
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