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| Paper Abstract and Keywords | ||
| Presentation | 2014-07-01 11:25 Implementation of Parallel Processing of Chaos Hybrid Optimization for Quadratic Assignment Problem Keisuke Kanamaru, Hiroyuki Yasuda, Mikio Hasegawa (TUS)  NLP2014-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Effectiveness of chaotic dynamics for combinatorial optimization has been shown by many previous researches. In this paper, we implement a chaotic hybrids method, which combines a chaotic local search method and a global search using the GA, on a parallel processor to execute the optimization algorithm efficiently. This optimization algorithm is based on the genetic hybrid algorithms that combines the GA and the robust taboo search. The genetic hybrid algorithm has very high performance and has discovered the best known solutions of many benchmark quadratic assignment problems. The performance of this algorithm can be improved by extending it to the chaotic taboo search. Good solutions distributed globally searched by the GA can be improved by the neighboring area search of the chaos taboo search. On serial processing, each good solution found by the GA is improved one by one, by the chaotic search. On the other hand, those solution improvements can be executed simultaneously in parallel, and it is possible to reduce the execution time significantly. We implement the chaotic hybrid algorithm on a GPU, and show the performance of the algorithm can be improved by the parallel processing. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Chaos / Neural networks / Taboo search / Chaos search / Quadratic assignment problem / Parallel computing / GPU / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 113, NLP2014-30, pp. 53-58, June 2014. | |
| Paper # | NLP2014-30 | |
| Date of Issue | 2014-06-23 (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 | NLP2014-30 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2014-06-30 - 2014-07-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tohoku Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Nonlinear Problems, etc. |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2014-06-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Implementation of Parallel Processing of Chaos Hybrid Optimization for Quadratic Assignment Problem |
| Sub Title (in English) | |
| Keyword(1) | Chaos |
| Keyword(2) | Neural networks |
| Keyword(3) | Taboo search |
| Keyword(4) | Chaos search |
| Keyword(5) | Quadratic assignment problem |
| Keyword(6) | Parallel computing |
| Keyword(7) | GPU |
| Keyword(8) | |
| 1st Author's Name | Keisuke Kanamaru |
| 1st Author's Affiliation | Tokyo University of Science (TUS) |
| 2nd Author's Name | Hiroyuki Yasuda |
| 2nd Author's Affiliation | Tokyo University of Science (TUS) |
| 3rd Author's Name | Mikio Hasegawa |
| 3rd Author's Affiliation | Tokyo University of Science (TUS) |
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| Speaker | Author-1 |
| Date Time | 2014-07-01 11:25:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2014-30 |
| Volume (vol) | vol.114 |
| Number (no) | no.113 |
| Page | pp.53-58 |
| #Pages | 6 |
| Date of Issue | 2014-06-23 (NLP) |
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