16 citations · 37 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
Assessing the Performance of an Adaptive Multi-Fidelity Gaussian Process with Noisy Training Data: A Statistical Analysis
Simone Ficini, Umberto Iemma, Riccardo Pellegrini +2
Despite the increased computational resources, the simulation-based design optimization (SBDO) procedure can be very expensive from a computational viewpoint, especially if high-fi…