The use of kriging metamodels in simulation optimization has become increasingly popular
during recent years. The majority of the algorithms so far uses the ordinary (deterministic) …

Multi-fidelity simulation is an effective approach to balancing speed and accuracy in
expensive simulation, and its performance is affected by the quality of multi-fidelity …

Ensuring sustainable access to electricity in regions with insufficient infrastructure, such as
rural and hilly areas, can be effectively achieved through stand-alone microgrid systems …

Stochastic kriging (SK) offers an explicit way to characterize heterogeneous noise variance
in stochastic computer simulations and has gained considerable traction recently as a …

We consider multi-objective ranking and selection problems with heteroscedastic noise and
correlation between the mean values of alternatives. From a Bayesian perspective, we …

This article proposes a new combination of methods to increase optimization simulation
efficiency and reliability, utilizing orthogonal arrays, fuzzy-data envelopment analysis …

The aim of design space exploration (DSE) is to identify implementations with optimal quality
characteristics which simultaneously satisfy all imposed design constraints. Hence, besides …

We address the issue of efficiency in quality and reliability assurance for complex dynamical
systems using active learning. The problem can be regarded as contour, also called iso …

This doctoral dissertation focuses on multiobjective stochastic simulation optimization, and
has been developed on the on the interface of two key research fields: operations research …

RESUMO É comum o uso de técnicas de simulação a eventos discretos para avaliação de
viabilidade de mudanças em cenários logísticos, industriais, hospitalares e comerciais. O …