The utilization of surrogate models to approximate complex systems has recently gained
increased popularity. Because of their capability to deal with black-box problems and lower …

Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

Abstract The Surrogate Modeling Toolbox (SMT) is an open-source Python package that
offers a collection of surrogate modeling methods, sampling techniques, and a set of sample …

Aerodynamic optimization based on computational fluid dynamics (CFD) is a powerful
design approach because it significantly reduces the design time compared with the human …

Abstract Multi-Objective Optimization (MOO) poses a computational challenge, particularly
when applied to physics-based models. As a result, only up to three objectives are typically …

The study of bearing local defect extension is of importance for bearing health monitoring
and management. However, the local defect sizes of rolling bearings are difficult to monitor …

Surrogate-based optimization has been used in aerodynamic shape optimization, but it has
been limited due to the curse of dimensionality. Although a large number of variables are …

Baryonic feedback effects consist of a major systematic for upcoming weak-lensing and
galaxy-clustering surveys. In this paper, we present an emulator for the baryonic …

Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …

Surrogate models are often used to reduce the cost of design optimization problems that
involve computationally costly models, such as computational fluid dynamics simulations …