| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2017-10-03 |
| タイトル |
|
|
タイトル |
Differential evolution as the global optimization technique and its application to structural optimization |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| ID登録 |
|
|
ID登録 |
10.24517/00007891 |
|
ID登録タイプ |
JaLC |
| 著者 |
Kitayama, Satoshi
Arakawa, Masao
Yamazaki, Koetsu
|
| 著者別表示 |
北山, 哲士
荒川, 雅生
山崎, 光悦
|
| 提供者所属 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
金沢大学理工研究域機械工学系 |
| 書誌情報 |
Applied Soft Computing Journal
巻 11,
号 4,
p. 3792-3803,
発行日 2011-01-01
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1568-4946 |
| NCID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA11926126 |
| DOI |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.1016/j.asoc.2011.02.012 |
| 出版者 |
|
|
出版者 |
Elsevier B.V. |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
In this paper, the basic characteristics of the differential evolution (DE) are examined. Thus, one is the meta-heuristics, and the other is the global optimization technique. It is said that DE is the global optimization technique, and also belongs to the meta-heuristics. Indeed, DE can find the global minimum through numerical experiments. However, there are no proofs and useful investigations with regard to such comments. In this paper, the DE is compared with the generalized random tunneling algorithm (GRTA) and the particle swarm optimization (PSO) that are the global optimization techniques for continuous design variables. Through the examinations, some common characteristics as the global optimization technique are clarified in this paper. Through benchmark test problems including structural optimization problems, the search ability of DE as the global optimization technique is examined. © 2011 Elsevier B.V. All rights reserved. |
| 著者版フラグ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連URI |
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|
識別子タイプ |
URI |
|
|
関連識別子 |
http://www.elsevier.com/locate/issn/15684946 |
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