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Paper Abstract and Keywords
Presentation 2014-07-26 16:10
Learning of Mixed-Rule Cellular Automata Based on the Genetic Algorithm
Ryo Sawayama, Toshimichi Saito (Hosei Univ.) NC2014-19
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies the cellular automaton (CA) governed by combination of two rules.
First, we analyze a class of CA that generates several isolated spatiotemporal patterns without transient phenomena.
Second, we present an evolutionary algorithm that tries to optimize the combination of two rules to stabilize the desired isolated patterns.
Performing basic numerical experiments, it is shown that the evolutionary algorithm can make transient phenomena and can stabilize the desired isolated patterns.
Keyword (in Japanese) (See Japanese page) 
(in English) Cellular Automata / Genetic Algorithm / Return Map / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 154, NC2014-19, pp. 15-19, July 2014.
Paper # NC2014-19 
Date of Issue 2014-07-19 (NC) 
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)
Download PDF NC2014-19

Conference Information
Committee MBE NC  
Conference Date 2014-07-26 - 2014-07-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Okayama University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2014-07-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning of Mixed-Rule Cellular Automata Based on the Genetic Algorithm 
Sub Title (in English)  
Keyword(1) Cellular Automata  
Keyword(2) Genetic Algorithm  
Keyword(3) Return Map  
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1st Author's Name Ryo Sawayama  
1st Author's Affiliation Hosei University (Hosei Univ.)
2nd Author's Name Toshimichi Saito  
2nd Author's Affiliation Hosei University (Hosei Univ.)
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Speaker Author-1 
Date Time 2014-07-26 16:10:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2014-19 
Volume (vol) vol.114 
Number (no) no.154 
Page pp.15-19 
#Pages 5 
Date of Issue 2014-07-19 (NC) 

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