文献
J-GLOBAL ID:202202239940625531
整理番号:22A0575667
計算的に高価な履歴マッチング問題のための分散代理システム支援微分進化アルゴリズム【JST・京大機械翻訳】
A distributed surrogate system assisted differential evolutionary algorithm for computationally expensive history matching problems
著者 (8件):
Ma Xiaopeng
(Oil and Gas Development Engineering Institute, School of Petroleum Engineering, China University of Petroleum, Qingdao, China)
,
Zhang Kai
(Oil and Gas Development Engineering Institute, School of Petroleum Engineering, China University of Petroleum, Qingdao, China)
,
Zhang Kai
(School of Civil Engineering, Qingdao University of Technology, Qingdao, China)
,
Zhang Liming
(Oil and Gas Development Engineering Institute, School of Petroleum Engineering, China University of Petroleum, Qingdao, China)
,
Wang Yanzhong
(Oil and Gas Development Engineering Institute, School of Petroleum Engineering, China University of Petroleum, Qingdao, China)
,
Wang Haochen
(Oil and Gas Development Engineering Institute, School of Petroleum Engineering, China University of Petroleum, Qingdao, China)
,
Wang Jian
(Department of Basic Mathematics, College of Sciences, China University of Petroleum, Qingdao, China)
,
Yao Jun
(Oil and Gas Development Engineering Institute, School of Petroleum Engineering, China University of Petroleum, Qingdao, China)
資料名:
Journal of Petroleum Science and Engineering
(Journal of Petroleum Science and Engineering)
巻:
210
ページ:
Null
発行年:
2022年
JST資料番号:
T0412A
ISSN:
0920-4105
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)