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Paper Abstract and Keywords
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
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
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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)
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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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