The use of metamodeling techniques in the design and analysis of computer experiments
has progressed remarkably in the past 25 years, but how far has the field really come? This …

We review the space-mapping (SM) technique and the SM-based surrogate (modeling)
concept and their applications in engineering design optimization. For the first time, we …

A variable-fidelity method can remarkably improve the efficiency of a design optimization
based on a high-fidelity and expensive numerical simulation, with assistance of lower-fidelity …

This book aims to cover major methodological and theoretical developments in the? eld of
stochastic global optimization. This? eld includes global random search and methods based …

The efficient global optimization method (EGO) based on kriging surrogate model and
expected improvement (EI) has received much attention for optimization of high-fidelity …

This paper presents a comprehensive approach to engineering design optimization
exploiting space mapping (SM). The algorithms employ input SM and a new generalization …

Variable-fidelity (VF) surrogate models have attracted significant attention recently in
simulation-based design because they can achieve a desirable accuracy at a reasonable …

In this paper we show that space-mapping optimization can be understood in the framework
of defect correction. Then, space-mapping algorithms can be seen as special cases of defect …

Surrogate model-based optimization is a well-known technique for optimizing expensive
black-box functions. By applying this function approximation, the number of real problem …

Sampling efficiency is important for simulation-based design optimization. While Bayesian
optimization (BO) has been successfully applied in engineering problems, the cost …