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Analytical Benchmark Problems for Multifidelity Optimization Methods

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
multi-fidelity; optimization
List of contributors:
Diez, Matteo; Serani, Andrea; Pellegrini, Riccardo
Authors of the University:
DIEZ MATTEO
PELLEGRINI RICCARDO
SERANI ANDREA
Handle:
https://iris.cnr.it/handle/20.500.14243/458160
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