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 |
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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NLP2017-113 |
Conference Information |
Committee |
MSS NLP |
Conference Date |
2018-03-12 - 2018-03-14 |
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(See Japanese page) |
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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 |
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Chaotic neural network |
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Asymmetric traveling salesman problem |
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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 |
6 |
Date of Issue |
2018-03-06 (NLP) |
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