Multi-objective optimization of aquifer storage and recovery operations under uncertainty via machine learning surrogates

A fast and elitist multiobjective genetic algorithm: NSGA-II

Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al. · IEEE Transactions on Evolutionary Computation · 2002 · 47.8K citations

Natural Sciences, Evolutionary Biology, Algorithms +10

Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems

J.C. Helton, F.J. Davis · Reliability Engineering & System Safety · 2003 · 2.6K citations

Computing, Mathematics, Physics +14

MODFLOW-2005 : the U.S. Geological Survey modular ground-water model--the ground-water flow process

Arlen W. Harbaugh · Techniques and methods · 2005 · 2.1K citations

Natural Sciences, Earth Sciences, Hydrology +17

A distribution-free approach to inducing rank correlation among input variables

Ronald L. Iman, W. J. Conover · Communications in Statistics - Simulation and Computation · 1982 · 1.6K citations

Natural Sciences, Earth Sciences, Nuclear Waste Management +16

Review of surrogate modeling in water resources

Saman Razavi, Bryan A. Tolson, Donald H. Burn · Water Resources Research · 2012 · 961 citations · Full text

Natural Resources, Hydrology, Water Resources Management +7