Paper Abstract and Keywords |
Presentation |
2010-01-21 10:30
Global Optimization Method for a Multimodal Objective Function Whose Local Minimal Values have Almost Unimodal Sequence Hideo Kanemitsu, Hideaki Konno (Hokkaido Univ. of Edu.), Mineichi Kudo, Masaaki Miyakoshi (Hokkaido Univ.) NLP2009-141 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In global optimization problems of a univariate multimodal function on a finite searching interval, we introduce functions whose local minimal values have a unimodal sequence and all of widths of unimodal regions are equal, and investigate mathematical structure univariate multimodal functions. We propose a modified global optimization algorithm for this problem. Moreover we propose an algorithm for a problem with relaxed restrictions that local minimal values have a unimodal sequence and all of widths of unimodal regions are equal. We propose an algorithm for finding a global minimum of multivariate functions on a rectangular searching region, and show much effectiveness with high reliability of a proposed algorithm by some numerical experiments. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
global optimization / multimodal function / unimodal sequence / algorithm / nonlinear / optimization / / |
Reference Info. |
IEICE Tech. Rep., vol. 109, no. 366, NLP2009-141, pp. 7-12, Jan. 2010. |
Paper # |
NLP2009-141 |
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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NLP2009-141 |
Conference Information |
Committee |
NLP |
Conference Date |
2010-01-21 - 2010-01-22 |
Place (in Japanese) |
(See Japanese page) |
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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) |
Global Optimization Method for a Multimodal Objective Function Whose Local Minimal Values have Almost Unimodal Sequence |
Sub Title (in English) |
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Keyword(1) |
global optimization |
Keyword(2) |
multimodal function |
Keyword(3) |
unimodal sequence |
Keyword(4) |
algorithm |
Keyword(5) |
nonlinear |
Keyword(6) |
optimization |
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1st Author's Name |
Hideo Kanemitsu |
1st Author's Affiliation |
Hokkaido Univercity of Education (Hokkaido Univ. of Edu.) |
2nd Author's Name |
Hideaki Konno |
2nd Author's Affiliation |
Hokkaido Univercity of Education (Hokkaido Univ. of Edu.) |
3rd Author's Name |
Mineichi Kudo |
3rd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
4th Author's Name |
Masaaki Miyakoshi |
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Hokkaido University (Hokkaido Univ.) |
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Speaker |
Author-1 |
Date Time |
2010-01-21 10:30:00 |
Presentation Time |
30 minutes |
Registration for |
NLP |
Paper # |
NLP2009-141 |
Volume (vol) |
vol.109 |
Number (no) |
no.366 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2010-01-14 (NLP) |
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