Zobrazeno 1 - 10
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pro vyhledávání: '"Mainini, Laura"'
Autor:
Di Fiore, Francesco, Mainini, Laura
Publikováno v:
Computers & Structures 296 (2024): 107302
The adoption of high-fidelity models for many-query optimization problems is majorly limited by the significant computational cost required for their evaluation at every query. Multifidelity Bayesian methods (MFBO) allow to include costly high-fideli
Externí odkaz:
http://arxiv.org/abs/2312.05831
Publikováno v:
Archives of Computational Methods in Engineering (2024): 1-29
Science and Engineering applications are typically associated with expensive optimization problems to identify optimal design solutions and states of the system of interest. Bayesian optimization and active learning compute surrogate models through e
Externí odkaz:
http://arxiv.org/abs/2303.01560
Autor:
Di Fiore, Francesco, Mainini, Laura
Publikováno v:
Knowledge-Based Systems 299 (2024): 111959
Bayesian optimization is a popular framework for the optimization of black box functions. Multifidelity methods allows to accelerate Bayesian optimization by exploiting low-fidelity representations of expensive objective functions. Popular multifidel
Externí odkaz:
http://arxiv.org/abs/2207.06325
Autor:
Di Fiore, Francesco, Mainini, Laura
Publikováno v:
In Knowledge-Based Systems 5 September 2024 299
Autor:
Di Fiore, Francesco, Mainini, Laura
Publikováno v:
In Computers and Structures 1 June 2024 296
Prognostics and Health Management (PHM) are emerging approaches to product life cycle that will maintain system safety and improve reliability, while reducing operating and maintenance costs. This is particularly relevant for aerospace systems, where
Externí odkaz:
http://arxiv.org/abs/2009.14645
Traditional methods for black box optimization require a considerable number of evaluations which can be time consuming, unpractical, and often unfeasible for many engineering applications that rely on accurate representations and expensive models to
Externí odkaz:
http://arxiv.org/abs/2007.04674
Autor:
Di Fiore, Francesco1 (AUTHOR), Mainini, Laura1,2 (AUTHOR) l.mainini@imperial.ac.uk
Publikováno v:
Scientific Reports. 12/18/2023, Vol. 13 Issue 1, p1-13. 13p.
Autor:
Hinterman, Eric, Moccia, Aldo, Baber, Sheila, Maffia, Fabio, Sciarretta, Samuele, Smith, Thomas, Stamler, Natasha, Nowak, Hans, Lukic, Jana, Sumini, Valentina, Zhan, Zhuchang, Schneiderman, Tajana, Lordos, George, Seaman, Elliott, Babakhanova, Siranush, Kusters, Joseph, Bernelli-Zazzera, Franco, Maggiore, Paolo, Mainini, Laura, Hoffman, Jeffrey
Publikováno v:
In Acta Astronautica June 2022 195:445-455
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