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Paper Abstract and Keywords
Presentation 2013-05-28 09:50
An Improved Artificial Bee Colony Optimizer for Dynamic Optimization Problems
Masataka Kojima, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2013-20
Abstract (in Japanese) (See Japanese page) 
(in English) Artificial Bee Colony (ABC) is a fast and robust algorithm to solve various optimization problems with complex nonlinearity.
Especially, ABC is effective for high dimensional problems, compared with the other metaheuristic algorithms.
However, the basic ABC is assumed to be used to static optimization problems and
has not been sufficiently considered for dynamic optimization problems including temporal changes of environments.
Recently, improved ABC methods for computing dynamic optimization problems have been proposed.
However, it is difficult for these methods to balance
the flexibility to temporal changes of environments and the convergent speed to solutions.
This paper proposes an ABC algorithms for computing dynamic optimization problems with simple procedures.
The proposed method can realize fast solution search for various dynamic optimization problems,
suppressing excessive convergence to each solution.
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. 113, no. 69, NLP2013-20, pp. 59-64, May 2013.
Paper # NLP2013-20 
Date of Issue 2013-05-20 (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)
Download PDF NLP2013-20

Conference Information
Committee NLP  
Conference Date 2013-05-27 - 2013-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Event hall, Central Library, Fukuoka University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2013-05-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Improved Artificial Bee Colony Optimizer for Dynamic Optimization Problems 
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 2013-05-28 09:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2013-20 
Volume (vol) vol.113 
Number (no) no.69 
Page pp.59-64 
#Pages 6 
Date of Issue 2013-05-20 (NLP) 

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