文献
J-GLOBAL ID:202002237735892824
整理番号:20A2219047
数値および工学設計最適化問題を解くためのリフォーマティブティーチング学習ベース最適化アルゴリズム【JST・京大機械翻訳】
A reformative teaching-learning-based optimization algorithm for solving numerical and engineering design optimization problems
著者 (6件):
Li Zhuang
(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China)
,
Zhang Xiaotong
(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China)
,
Zhang Xiaotong
(Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing, China)
,
Qin Jingyan
(School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China)
,
He Jie
(School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China)
,
He Jie
(Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing, Beijing, China)
資料名:
Soft Computing
(Soft Computing)
巻:
24
号:
20
ページ:
15889-15906
発行年:
2020年
JST資料番号:
W1043A
ISSN:
1432-7643
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)