Metamodeling is becoming a rather popular means to approximate the expensive
simulations in today's complex engineering design problems since accurate metamodels …

This contribution summarizes the design and analysis of experiments with computerized
simulation models. It focuses on two metamodel (surrogate, emulator) types, namely first …

When setting up a computer experiment, it has become a standard practice to select the
inputs spread out uniformly across the available space. These so-called space-filling …

Because innovative and creative design is essential to a successful product, this work brings
the benefits of generative design in the conceptual phase of the product development …

In this paper, we survey methods that are currently used in black‐box optimization, that is,
the kind of problems whose objective functions are very expensive to evaluate and no …

Support vector regression (SVR) based metamodel is a powerful mean to alleviate
computational challenge of Monte Carlo simulation (MCS) based reliability analysis of …

This chapter and the next discuss how to select inputs at which to compute the output of a
computer experiment to achieve specific goals. The inputs one selects constitute the …

The problem of finding a maximin Latin hypercube design in two dimensions can be
described as positioning n nonattacking rooks on an n× n chessboard such that the minimal …

This research presents a numerical model and the experimental validation of the anode
crater formation in electrical discharge machining (EDM) process. The modeling is based on …

The majority of literature regarding optimized Latin hypercube sampling (OLHS) is devoted
to increasing the efficiency of these sampling strategies through the development of new …