Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …

Abstract A pillar of Industry 4.0, Simulation Optimization is a powerful tool used across
several fields, enabling system evaluation under varying conditions, facilitating performance …

When the simulation-optimization method is applied to groundwater contamination source
identification (GCSI), the numerical simulation model is usually embedded in the …

Metamodel-based high-dimensional model representation (HDMR) has recently been
developed as a promising tool for approximating high-dimensional and computationally …

In the context of modern industry, optimization emerges as one of the most powerful tools,
allowing decision-makers to allocate their resources more assertively and deal with complex …

In recent building studies, data-driven surrogate modeling is often employed to replace the
computationally expensive physics-based energy performance simulation. However …

Simulation-based metamodels or surrogate models are simplified models that capture the
relationship between inputs and outputs of the simulation model. The analytical expression …

For uncertain structures with the coexisting random and interval inputs, effectively estimating
the lower and upper bounds of failure probability is always a challenge. To address this …

Statistical analysis is frequently used to determine how manufacturing tolerances or
operating condition uncertainties affect system performance. Surrogate is one of the …

In the last years, the use of metamodel-based simulation optimization techniques to solve
industrial problems stood out as a promising research field, mainly due to the advance of …