A Multi-Fidelity Active Learning Method for Global Design Optimization Problems with Noisy Evaluations

Riccardo Pellegrini, Jeroen Wackers, Riccardo Broglia +3

A multi-fidelity (MF) active learning method is presented for design optimization problems characterized by noisy evaluations of the performance metrics. Namely, a generalized MF s…