A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems

Groundwater management involves a complex decision‐making process, often with the need to balance the trade‐off between meeting society's demand for water and environmental protection. Therefore effective management of groundwater resources often involves some form of multi‐objective optimizati...

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Veröffentlicht in:	Water resources research Jg. 61; H. 5
Hauptverfasser:	Macasieb, Reygie Q., White, Jeremy T., Pasetto, Damiano, Siade, Adam J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Washington John Wiley & Sons, Inc 01.05.2025 Wiley
Schlagworte:	Algorithms Coastal management Computer applications computer software Decision making decision‐support Environmental management Environmental protection Evolutionary algorithms Gaussian process Groundwater Groundwater management Groundwater resources machine learning multi‐objective optimization Nonlinear systems Nonlinearity normal distribution Optimization Probability theory Redevelopment Simulation models Software Statistical analysis surrogate modeling Uncertainty Water demand water management Water resources water resources management
ISSN:	0043-1397, 1944-7973
Online-Zugang:	Volltext
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