Analytical Benchmark Problems for Multifidelity Optimization Methods

Laura Mainini, Andrea Serani, Markus P. Rumpfkeil, E. Minisci, Domenico Quagliarella, H. Pehlivan, S. Yildiz, S. Ficini, R. Pellegrini, F. Di Fiore, D. Bryson, M. Nikbay, M. Diez, P. Beran

Research output: Working paperWorking Paper/Preprint

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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.
Original languageEnglish
Place of PublicationIthaca, NY
Number of pages14
Publication statusPublished - 16 Apr 2022

Keywords

  • computational engineering
  • multifidelity optimization
  • metrics

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