Paper Abstract and Keywords |
Presentation |
2010-01-22 10:00
On search characteristics of an ant colony optimizer paralleled by an improved adaptive resonance theory Hiroshi Koshimizu, Toshimichi Saito (Hosei Univ.) NLP2009-149 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We consider basic characteristics of a novel parallel ant colony optimizer (ACO) in application to the traveling salesperson problems.
The ACO is an evolutional optimization algorithm inspired by pheromone effect of ants.
The improved adaptive resonance theory map (IART) is used to divide the feature space into some subspaces for the parallel processing.
The Proposed ACO has two kind of ants:
local ants that is assigned to search in a subspace and global ants for global search.
They can communicate to each other through common pheromone information.
In several benchmarks, we have investigated effects of some key parameters on the algorithm efficiency. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Swarm Inteligence / Adaptive Resonance Theory / Ant Colony Optimization / Traveling Sales-person Problem / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 366, NLP2009-149, pp. 53-57, Jan. 2010. |
Paper # |
NLP2009-149 |
Date of Issue |
2010-01-14 (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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NLP2009-149 |
Conference Information |
Committee |
NLP |
Conference Date |
2010-01-21 - 2010-01-22 |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2010-01-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
On search characteristics of an ant colony optimizer paralleled by an improved adaptive resonance theory |
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Swarm Inteligence |
Keyword(2) |
Adaptive Resonance Theory |
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Ant Colony Optimization |
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Traveling Sales-person Problem |
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1st Author's Name |
Hiroshi Koshimizu |
1st Author's Affiliation |
Hosei University (Hosei Univ.) |
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Toshimichi Saito |
2nd Author's Affiliation |
Hosei University (Hosei Univ.) |
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Speaker |
Author-1 |
Date Time |
2010-01-22 10:00:00 |
Presentation Time |
30 minutes |
Registration for |
NLP |
Paper # |
NLP2009-149 |
Volume (vol) |
vol.109 |
Number (no) |
no.366 |
Page |
pp.53-57 |
#Pages |
5 |
Date of Issue |
2010-01-14 (NLP) |