Archivio Istituzionale della RicercaThe 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.
Analytical Benchmark Problems for Multifidelity Optimization Methods / Mainini, Laura; Serani, Andrea; Ficini, Simone; Pellegrini, Riccardo; Diez, Matteo; Rumpfkeil, Markus P.; Minisci, Edmondo; Quagliarella, Domenico; Pehlivan Solak, Hayriye; Yildiz, Sıhmehmet; Nikbay, Melike; Di Fiore, Francesco; Bryson, Dean; Beran, Philip S.. - ELETTRONICO. - STO-MP-AVT-354:(2022). (Intervento presentato al convegno NATO STO-AVT-RWS-354 Multi-Fidelity Methods for Military Vehicle Design tenutosi a Varna, Bulgaria nel 26 - 28 September 2022).
Analytical Benchmark Problems for Multifidelity Optimization Methods
Mainini, Laura;Minisci, Edmondo;Di Fiore, Francesco;
2022
Abstract
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.
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https://hdl.handle.net/11583/2976816