Most surrogate models for computer experiments are interpolators, and the most common
interpolator is a Gaussian process (GP) that deliberately omits a small-scale (measurement) …

In this study, we proposed a generic Bayesian optimization (BO) framework to solve
congestion pricing problems. In the BO framework, the Gaussian process (GP) serves as a …

We propose a flexible yet computationally efficient approach for building Gaussian process
models for computer experiments with both qualitative and quantitative factors. This …

Kriging is commonly used for developing emulators as surrogates for computationally
intensive simulations. One difficulty with kriging is the potential numerical instability in the …

Deterministic computer simulations are often used as replacement for complex physical
experiments. Although less expensive than physical experimentation, computer codes can …

Kriging is used extensively as a metamodel in multidisciplinary design optimization. The
correlation matrix used in Kriging metamodeling frequently becomes ill-conditioned …

Modeling experiments with qualitative and quantitative factors is an important issue in
computer modeling. A framework for building Gaussian process models that incorporate …

The modern era witnesses the prosperity of computer experiments, which play a critical role
in many fields of technological development where the traditional physical experiments are …

The sun is a very powerful source of energy and has been used since the beginning of the
existence of man to survive. Clouds reduce the amount of solar irradiance that travels to the …

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