Analytical Benchmark Problems for Multifidelity Optimization Methods
Laura Mainini, A. Serani, M. P. Rumpfkeil, Edmondo A. Minisci, D. Quagliarella, Hamza Pehlivan, Sihmehmet Yildiz, S. Ficini, Riccardo Pellegrini, Francesco Di Fiore, D. Bryson, Melike Nikbay, M. Diez, P. Beran · arXiv (Cornell University) · 2022
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 addition, the paper discusses a comprehensive ensemble of metrics and criteria recommended for the rigorous and meaningful assessment of the performance of multifidelity strategies and algorithms.