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Paper Abstract and Keywords
Presentation 2023-03-01 09:55
A Study of Switching Methods Using Chaotic Neurodynamics for Solving Multi-Objective Optimization Problem
Toshihiro Tachibana, Touya Suzuki, Takuya Inoue (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2022-97 CS2022-74
Abstract (in Japanese) (See Japanese page) 
(in English) We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization problems using chaotic neural networks. From previous researches and experiments, it is clear that the switching of the exchange method by using the chaotic neural network is statistically significantly different from the decision method by random numbers, the method to reproduce the same switching by obtaining the usage history of switching by the chaotic neural network, and the decision method by the Sato-Nagumo model in comparison with gap and GD. In the asymmetric traveling salesman problem, a hidden Markov model created based on the switching history of the exchange method using chaotic neural networks has been shown to perform as well as chaotic neural networks in certain problems. In this paper, we test whether it is possible to reproduce the asymmetric traveling salesman problem by obtaining the switching history of chaotic neural network methods for multi-objective optimization problems and constructing a hidden Markov model from it, as in the case of the asymmetric traveling salesman problem. As a result, we found that there were parts where the same tendency as in the asymmetric traveling salesman problem appeared, and parts where a different tendency appeared.
Keyword (in Japanese) (See Japanese page) 
(in English) Chaotic neural network / Multi-objective problem / Hidden Markov model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 396, CAS2022-97, pp. 6-11, March 2023.
Paper # CAS2022-97 
Date of Issue 2023-02-22 (CAS, CS) 
ISSN 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 CAS2022-97 CS2022-74

Conference Information
Committee CAS CS  
Conference Date 2023-03-01 - 2023-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Kitakyushu International Conference Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. 
Paper Information
Registration To CAS 
Conference Code 2023-03-CAS-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Switching Methods Using Chaotic Neurodynamics for Solving Multi-Objective Optimization Problem 
Sub Title (in English)  
Keyword(1) Chaotic neural network  
Keyword(2) Multi-objective problem  
Keyword(3) Hidden Markov model  
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1st Author's Name Toshihiro Tachibana  
1st Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
2nd Author's Name Touya Suzuki  
2nd Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
3rd Author's Name Takuya Inoue  
3rd Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
4th Author's Name Masaharu Adachi  
4th Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2023-03-01 09:55:00 
Presentation Time 25 minutes 
Registration for CAS 
Paper # CAS2022-97, CS2022-74 
Volume (vol) vol.122 
Number (no) no.396(CAS), no.397(CS) 
Page pp.6-11 
#Pages 6 
Date of Issue 2023-02-22 (CAS, CS) 

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