Ivo Couckuyt

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization

2020

Identifying all designs satisfying a set of constraints is an important part of the engineering design process. With physics-based simulation codes, evaluating the constraints becomes considerable expensive. Active learning can provide an elegant approach to …

Cost-Aware Active Learning for Feasible Region Identification

2023

Design space exploration for engineering design involves identifying feasible designs that satisfy design specifications, often represented by feasibility constraints. To determine whether a design is feasible, an expensive simulation is required. Therefore, it is crucial …