A kriging method for the solution of nonlinear programs with black‐box functions

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Learning surrogate models for simulation‐based optimization (2014, methodology): “Significant work has been done using kriging models to either model the full system [10, 21, 31] or the disaggregated process [6].”
A review of recent advances in global optimization (2009, methodology): “De Saboia et al. (2004) conducted a computational study of two global algorithms for linear bilevel programming and proposed some modifications that improve their computational performance. Ryu et al. (2004) addressed a bilevel decision-making problem under uncertainty in the context of enterprise-w”