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Paper Abstract and Keywords
Presentation 2012-04-19 13:50
An Improved Exponential Chaotic Tabu Search in Quadratic Assignment Problems for Parallel Hardware Implementation
Akihito Toyoda, Yoshihiko Horio (Tokyo Denki Univ.), Kazuyuki Aihara (Univ. of Tokyo) NLP2012-3
Abstract (in Japanese) (See Japanese page) 
(in English) To solve quadratic assignment problems (QAPs), a chaotic tabu search, in which a tabu search is driven by chaotic neuro-dynamics, was proposed.
To adopt the chaotic tabu search in a parallel processing hardware system, several modifications, {\it e.g.}, synchronous updating of the neuron states, were introduced.
In such a synchronous updating scheme, all the neuronal states in a chaotic neural network are updated at once.
In the chaotic tabu search, a 2-opt exchange is carried out according to the firing of a single neuron.
By the synchronous update, however, a plural number of neurons may fire,
which prevents to uniquely determine the target of the 2-opt exchange.
To overcome this problem, several ``neuron selection methods'' have been proposed to select one neuron among all the fired neurons.
Neurons are sorted according to the values of their internal states in these neuron selection algorithms.
However, it would be difficult in a hardware system to sense the analog values of internal states of all neurons, and to sort them in a quick manner.
As a result, an advantage of the parallel processing with hardware will be deteriorated.
Therefore, in this paper, a novel neuron selection method which does not rely on the sorting of the neuronal states.
In the proposed method, a fixed number of neurons are randomly selected among those with their internal state values exceeding a certain threshold value.
Numerical simulations confirm the validity of the proposed method by comparing its solving performances for QAPs, such as an arrival rate for the optimal solution, an average error from the optimal, and time evolutions
of solutions, to one of the previously proposed neuron selection method and robust tabu search algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) combinatorial optimization problem / quadratic assignment problem / chaotic taboo search / chaos neural network / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 6, NLP2012-3, pp. 13-18, April 2012.
Paper # NLP2012-3 
Date of Issue 2012-04-12 (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)
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Conference Information
Committee NLP  
Conference Date 2012-04-19 - 2012-04-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Ise City Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2012-04-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Improved Exponential Chaotic Tabu Search in Quadratic Assignment Problems for Parallel Hardware Implementation 
Sub Title (in English)  
Keyword(1) combinatorial optimization problem  
Keyword(2) quadratic assignment problem  
Keyword(3) chaotic taboo search  
Keyword(4) chaos neural network  
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1st Author's Name Akihito Toyoda  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Yoshihiko Horio  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
3rd Author's Name Kazuyuki Aihara  
3rd Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2012-04-19 13:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2012-3 
Volume (vol) vol.112 
Number (no) no.6 
Page pp.13-18 
#Pages 6 
Date of Issue 2012-04-12 (NLP) 

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