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Publication . Conference object . Presentation . 2021
Enhanced Kriging Models within a Bayesian Optimization Framework, to Handle both continuous and Categorical Inputs
Saves, Paul; Bartoli, Nathalie; Diouane, Youssef; Morlier, Joseph; Lefebvre, Thierry;
Saves, Paul; Bartoli, Nathalie; Diouane, Youssef; Morlier, Joseph; Lefebvre, Thierry;
Open Access
Published: 05 Mar 2021
Publisher: Zenodo
Country: France
Abstract
SIAM Conference on Computational Science and Engineering MS130 Derivative-Free Optimization Methods for Solving Expensive Global Black-Box Problems - Part II of II
Subjects by Vocabulary
ACM Computing Classification System: ComputingMilieux_LEGALASPECTSOFCOMPUTING ComputingMilieux_MISCELLANEOUS
Subjects
Bayesian optimization, kriging, [MATH]Mathematics [math]
Bayesian optimization, kriging, [MATH]Mathematics [math]
ACM Computing Classification System: ComputingMilieux_LEGALASPECTSOFCOMPUTING ComputingMilieux_MISCELLANEOUS
Related Organizations
- INSA de Toulouse France
- Université Paris Diderot France
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Funded by
EC| AGILE 4.0
Project
AGILE 4.0
AGILE 4.0: Towards cyber-physical collaborative aircraft development
- Funder: European Commission (EC)
- Project Code: 815122
- Funding stream: H2020 | RIA
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SIAM Conference on Computational Science and Engineering MS130 Derivative-Free Optimization Methods for Solving Expensive Global Black-Box Problems - Part II of II