| 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 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 |
NLP2014-29 |
| 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 |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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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 |
6 |
| Date of Issue |
2014-06-23 (NLP) |