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| Presentation | 2018-01-27 10:20 Nonlinear map model optimization method Kenya Jin'no (NIT)  NLP2017-95 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this article, we propose a nonlinear map-model optimization (abbr. NMO) method. The NMO consists of some particle whose dynamics is driven by a simple nonlinear map. The MNO can be classified as swarm intelligence optimizer. However, the NMO requires only a few particle comparing with other swarm intelligence optimizers. Therefore, the computation amount is the smaller than the other methods. Based on the theoretical analysis results about the dynamics of the particle swarm optimization, we set so that the searching point distribution of the NMO becomes an optimal distribution. As the result, the search performance of the NMO exhibits better than Standard PSO 2013. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | swarm intelligence / optimization / nonlinear map / search point distribution / deterministic / black-box problem / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 415, NLP2017-95, pp. 51-54, Jan. 2018. | |
| Paper # | NLP2017-95 | |
| Date of Issue | 2018-01-19 (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 | NLP2017-95 |
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| Conference Information | |
| Committee | MBE NC NLP |
| Conference Date | 2018-01-26 - 2018-01-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, generalImplementation of Neuro Computing,Analysis and Modeling of Human Science, |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2018-01-MBE-NC-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Nonlinear map model optimization method |
| Sub Title (in English) | |
| Keyword(1) | swarm intelligence |
| Keyword(2) | optimization |
| Keyword(3) | nonlinear map |
| Keyword(4) | search point distribution |
| Keyword(5) | deterministic |
| Keyword(6) | black-box problem |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kenya Jin'no |
| 1st Author's Affiliation | Nippon Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2018-01-27 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2017-95 |
| Volume (vol) | vol.117 |
| Number (no) | no.415 |
| Page | pp.51-54 |
| #Pages | 4 |
| Date of Issue | 2018-01-19 (NLP) |
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