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| Presentation | 2018-10-18 14:40 An application of a differential evolution SHADE to multi-objective optimization problems Yuuichitou Ooto, Takayuki Kimura (NIT)  CAS2018-44 NLP2018-79 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | An objective of the Multi-objective Optimization Problem is to nd the optimal Pareto solution under the situation that each objective function has trade-off relationship. The Evolutionary algorithms are often used to solve these problems because the algorithms successfully obtain various types of solutions. However, the algorithms cannot get a solution that has a extremely small/large value for each objective function. To overcome this problem, we propose in this report a new algorithm that searches each objective function using each EA method. Our proposed method also effectively expands the solutions to get wider Pareto solutions. Numerical simulations show that our proposed method has better performance than conventional methods such as SPEA2 and NSGA-II for the two objective optimization problems. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Evolutionary algorithm / Multi objective optimization problem / SHADE / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 243, NLP2018-79, pp. 39-44, Oct. 2018. | |
| Paper # | NLP2018-79 | |
| Date of Issue | 2018-10-11 (CAS, 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 | CAS2018-44 NLP2018-79 |
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| Conference Information | |
| Committee | CAS NLP |
| Conference Date | 2018-10-18 - 2018-10-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mathematical modeling, numerical simulation etc. |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2018-10-CAS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An application of a differential evolution SHADE to multi-objective optimization problems |
| Sub Title (in English) | |
| Keyword(1) | Evolutionary algorithm |
| Keyword(2) | Multi objective optimization problem |
| Keyword(3) | SHADE |
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| 1st Author's Name | Yuuichitou Ooto |
| 1st Author's Affiliation | Nippon Institute of Technology (NIT) |
| 2nd Author's Name | Takayuki Kimura |
| 2nd Author's Affiliation | Nippon Institute of Technology (NIT) |
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| Speaker | Author-1 |
| Date Time | 2018-10-18 14:40:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | CAS2018-44, NLP2018-79 |
| Volume (vol) | vol.118 |
| Number (no) | no.242(CAS), no.243(NLP) |
| Page | pp.39-44 |
| #Pages | 6 |
| Date of Issue | 2018-10-11 (CAS, NLP) |
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