TY - UNPB
T1 - Analytical Benchmark Problems for Multifidelity Optimization Methods
AU - Mainini, Laura
AU - Serani, Andrea
AU - Rumpfkeil, Markus P.
AU - Minisci, E.
AU - Quagliarella, Domenico
AU - Pehlivan, H.
AU - Yildiz, S.
AU - Ficini, S.
AU - Pellegrini, R.
AU - Fiore, F. Di
AU - Bryson, D.
AU - Nikbay, M.
AU - Diez, M.
AU - Beran, P.
PY - 2022/4/16
Y1 - 2022/4/16
N2 - 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.
AB - 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.
KW - computational engineering
KW - multifidelity optimization
KW - metrics
M3 - Working Paper/Preprint
BT - Analytical Benchmark Problems for Multifidelity Optimization Methods
CY - Ithaca, NY
ER -