44 citations · 105 across the 18 of their papers we have counts for
3 papers · 2 filters
Analytical Benchmark Problems for Multifidelity Optimization Methods
L. Mainini, A. Serani, M. P. Rumpfkeil +11
The paper presents a collection of analytical benchmark problems specifically selected to provide a set of stress tests for the assessment of multifidelity optimization methods. In…
Parametric Model Embedding
Andrea Serani, Matteo Diez
Methodologies for reducing the design-space dimensionality in shape optimization have been recently developed based on unsupervised machine learning methods. These methods provide…
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…