Analytical Benchmark Problems for Multifidelity Optimization Methods

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.

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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.

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• Item metadata

  Item type:	Monograph(Other)
  ID code:	87880
  Dates:	Date Event 16 April 2022 Published
  Subjects:	Technology > Mechanical engineering and machinery
  Department:	Faculty of Engineering > Mechanical and Aerospace Engineering Strategic Research Themes > Measurement Science and Enabling Technologies Strategic Research Themes > Ocean, Air and Space
  Depositing user:	Pure Administrator
  Date deposited:	23 Jan 2024 16:25
  Last modified:	30 Apr 2024 00:30
  URI:	https://strathprints.strath.ac.uk/id/eprint/87880