Adaptive hybrid optimization strategy for calibration and parameter estimation of physical models
V.V. Vesselinov, D. Harp
Computers & Geosciences2012DOI 10.1016/j.cageo.2012.05.027
Summary
A new adaptive hybrid optimization strategy, entitledsquads, is proposed for complex inverse analysis of computationally intensive physics-based models. Typically, models are calibrated and model parameters are estimated by minimization of the discrepancy between model simulations characterizing the system and existing observations requiring a substantial number of model evaluations.Squadsis designed to be computationally efficient and robust in identification of the global optimum (i.e.