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.
@article{arxiv.2204.07867,
title = {Analytical Benchmark Problems for Multifidelity Optimization Methods},
author = {L. Mainini and A. Serani and M. P. Rumpfkeil and E. Minisci and D. Quagliarella and H. Pehlivan and S. Yildiz and S. Ficini and R. Pellegrini and F. Di Fiore and D. Bryson and M. Nikbay and M. Diez and P. Beran},
journal= {arXiv preprint arXiv:2204.07867},
year = {2022}
}