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Paper Abstract and Keywords
Presentation 2018-03-14 15:20
Method for Solving Asymmetric Traveling Salesman Problems by Dynamically Changes the Number of Cities Consider as One City
Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) NLP2017-113
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, the authors extend a proposed method for asymmetric traveling salesman problems. Asymmetric traveling salesman problems have complex solution space to explore. For such problems, we assume that one
can explore better solution by switching algorithms adaptively. To determine the switching, the proposed method utilizes tabu effects with exponential decays that are main feature of chaotic neurons in the network. It determines the point exchange method and the number of cities to block by such an algorithm. In this proposed method, we investigate how to determine the exchange method and the number of cities consider as one city.
Keyword (in Japanese) (See Japanese page) 
(in English) Chaotic neural network / Asymmetric traveling salesman problem / Blockshift operation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 505, NLP2017-113, pp. 61-66, March 2018.
Paper # NLP2017-113 
Date of Issue 2018-03-06 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 MSS NLP  
Conference Date 2018-03-12 - 2018-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To NLP 
Conference Code 2018-03-MSS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Method for Solving Asymmetric Traveling Salesman Problems by Dynamically Changes the Number of Cities Consider as One City 
Sub Title (in English)  
Keyword(1) Chaotic neural network  
Keyword(2) Asymmetric traveling salesman problem  
Keyword(3) Blockshift operation  
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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 Masaharu Adachi  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2018-03-14 15:20:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2017-113 
Volume (vol) vol.117 
Number (no) no.505 
Page pp.61-66 
#Pages
Date of Issue 2018-03-06 (NLP) 


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