Analytical Benchmark Problems for Multifidelity Optimization Methods

Tools

Mainini, Laura and Serani, Andrea and Rumpfkeil, Markus P. and Minisci, E. and Quagliarella, Domenico and Pehlivan, H. and Yildiz, S. and Ficini, S. and Pellegrini, R. and Fiore, F. Di and Bryson, D. and Nikbay, M. and Diez, M. and Beran, P. (2022) Analytical Benchmark Problems for Multifidelity Optimization Methods. Other. arXiv.org, Ithaca, NY.

[thumbnail of Mainini-etal-arXiv-2022-Analytical-benchmark-problems-for-multifidelity]
Preview
 Text. Filename: Mainini-etal-arXiv-2022-Analytical-benchmark-problems-for-multifidelity.pdf
Final Published Version
License: Other
Download (518kB)| Preview

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.

ORCID iDs

Mainini, Laura, Serani, Andrea, Rumpfkeil, Markus P., Minisci, E. ORCID logoORCID: https://orcid.org/0000-0001-9951-8528, Quagliarella, Domenico, Pehlivan, H., Yildiz, S., Ficini, S., Pellegrini, R., Fiore, F. Di, Bryson, D., Nikbay, M., Diez, M. and Beran, P.;
CORE (COnnecting REpositories)