L1 benchmark definitions and results
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Chapter
Abstract
The chapter presents a collection of analytical benchmark problems specifically selected to provide a set of stress tests for the assessment of multi-fidelity optimization methods. These benchmarks, here denoted as L1 problems, address challenges related to the curse of dimensionality and the scalability associated with multi-fidelity methods, handling localized, multimodal, and discontinuous behaviors of the objective functions, and handling the possible presence of noise in the objective functions. The first objective is to provide the community with hard-to-solve but easy-to-implement problems. The second objective is to assess and compare quite a large
variety of multi-fidelity methods against benchmark problems. Multi-fidelity methods performance are assessed in terms of both optimization and global accuracy
variety of multi-fidelity methods against benchmark problems. Multi-fidelity methods performance are assessed in terms of both optimization and global accuracy
Date Issued
2025-03-18
Citation
Goal-Driven, Multi-Fidelity Approaches for Military Vehicle System-Level Design [STO-TR-AVT-331 ], 2025, pp.6-1-6-32
ISBN
978-92-837-2509-1
Publisher
NATO STO
Start Page
6-1
End Page
6-32
Journal / Book Title
Goal-Driven, Multi-Fidelity Approaches for Military Vehicle System-Level Design [STO-TR-AVT-331 ]
Copyright Statement
© 2025 NATO STO.
Identifier
https://publications.sto.nato.int/publications/STO%20Technical%20Reports/STO-TR-AVT-331/$$TR-AVT-331-ALL.pdf
Article Number
Chapter 6