Distributed quasi-Newton derivative-free optimization method for optimization problems with multiple local optima

The distributed Gauss-Newton (DGN) optimization method performs quite efficiently and robustly for history-matching problems with multiple best matches. However, this method is not applicable for generic optimization problems, e.g., life-cycle production optimization or well location optimization. T...

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Vydané v:	Computational geosciences Ročník 26; číslo 4; s. 847 - 863
Hlavní autori:	Gao, Guohua, Wang, Yixuan, Vink, Jeroen C., Wells, Terence J., Saaf, Fredrik J.F.E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.08.2022 Springer Nature B.V
Predmet:	Aquatic reptiles Computation Data points Derivatives Earth and Environmental Science Earth Sciences Geotechnical Engineering & Applied Earth Sciences History Hydrogeology Interpolation Iterative methods Matching Mathematical Modeling and Industrial Mathematics Methods Objective function Optimization Original Paper Sensitivity Simulation Soil Science & Conservation Optimization algorithms MSC code: 90C39, Nonlinear programming Distributed quasi-Newton method Sensitivity matrix Information sharing mechanism Trust-region search
ISSN:	1420-0597, 1573-1499
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