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Paper Abstract and Keywords
Presentation 2014-07-01 11:00
Solving dynamic optimization problems using an artificial bee colony with a memory scheme
Masataka Kojima, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2014-29
Abstract (in Japanese) (See Japanese page) 
(in English) Dynamic Optimization Problems (DOPs) are the problems of optimizing the function values of the time varying objective functions.
In order to adapt these problems, it is necessary to have not only the accuracy of the solution search but also the flexibility for the various changes of the problems.
Moreover, in order to apply to real problems, it is important that high dimensional problems can be solved.
In this paper, the method based on an Artificial Bee Colony (ABC) is proposed.
The proposed method uses a memory mechanism to maintain the solutions obtained by the past search.
It is possible to track the various changes of the problems by effectively using the information in the past search.
In numerical simulations, the effectiveness of the proposed method is verified.
Keyword (in Japanese) (See Japanese page) 
(in English) Optimization / Artificial Bee Colony / Dynamic Optimization Problems / Time Dependence / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 113, NLP2014-29, pp. 47-52, June 2014.
Paper # NLP2014-29 
Date of Issue 2014-06-23 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 2014-06-30 - 2014-07-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Nonlinear Problems, etc. 
Paper Information
Registration To NLP 
Conference Code 2014-06-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Solving dynamic optimization problems using an artificial bee colony with a memory scheme 
Sub Title (in English)  
Keyword(1) Optimization  
Keyword(2) Artificial Bee Colony  
Keyword(3) Dynamic Optimization Problems  
Keyword(4) Time Dependence  
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1st Author's Name Masataka Kojima  
1st Author's Affiliation Tokyo City University (Tokyo City Univ.)
2nd Author's Name Hidehiro Nakano  
2nd Author's Affiliation Tokyo City University (Tokyo City Univ.)
3rd Author's Name Arata Miyauchi  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
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Speaker Author-1 
Date Time 2014-07-01 11:00:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2014-29 
Volume (vol) vol.114 
Number (no) no.113 
Page pp.47-52 
#Pages
Date of Issue 2014-06-23 (NLP) 


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