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| Presentation | 2015-05-18 15:20 A Method for Deciding Feasible Solution of Quadratic Assignment Problem from Mutually Connected Chaotic Neural Network Takafumi Matsuura (Nippon Inst. of Tech.), Tohru Ikeguchi (Tokyo Univ. Sci.)  NLP2015-31 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For finding good near-optimal solutions of quadratic assignment problems (QAPs), a heuristic method which uses a mutually connected chaotic neural network (CNN) has already been proposed. In the method, chaotic dynamics of the CNN controls to search a solution space effectively. However, it is difficult to generate feasible solutions of the QAP from the CNN, because an output of a chaotic neuron takes a real-valued. To generate a feasible solution of the QAP, we have already proposed a method for deciding feasible solutions of the QAP from the CNN. In the method, a sum of value of an internal state of neurons which construct the solution of the QAP is maximized. As a result, the method showed good performances for small-size of instances. In this report, we investigate performances of the method for large-size of instances and show that the method also finds good approximate solutions of large-size of instances. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | quadratic assignment problem / chaotic neural network / chaotic neuron / heuristic algorithm / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 34, NLP2015-31, pp. 23-28, May 2015. | |
| Paper # | NLP2015-31 | |
| Date of Issue | 2015-05-11 (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 | NLP2015-31 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2015-05-18 - 2015-05-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Yu-sa Asamushi |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Nonlinear Problems, etc. |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2015-05-NLP |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method for Deciding Feasible Solution of Quadratic Assignment Problem from Mutually Connected Chaotic Neural Network |
| Sub Title (in English) | |
| Keyword(1) | quadratic assignment problem |
| Keyword(2) | chaotic neural network |
| Keyword(3) | chaotic neuron |
| Keyword(4) | heuristic algorithm |
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| 1st Author's Name | Takafumi Matsuura |
| 1st Author's Affiliation | Nippon Institute of Technology (Nippon Inst. of Tech.) |
| 2nd Author's Name | Tohru Ikeguchi |
| 2nd Author's Affiliation | Tokyo University of Science (Tokyo Univ. Sci.) |
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| Speaker | Author-1 |
| Date Time | 2015-05-18 15:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2015-31 |
| Volume (vol) | vol.115 |
| Number (no) | no.34 |
| Page | pp.23-28 |
| #Pages | 6 |
| Date of Issue | 2015-05-11 (NLP) |
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