Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Pelamatti, Julien"'
We consider chance constrained optimization where it is sought to optimize a function while complying with constraints, both of which are affected by uncertainties. The high computational cost of realistic simulations strongly limits the number of ev
Externí odkaz:
http://arxiv.org/abs/2204.00527
Within the framework of complex system design, it is often necessary to solve mixed variable optimization problems, in which the objective and constraint functions can depend simultaneously on continuous and discrete variables. Additionally, complex
Externí odkaz:
http://arxiv.org/abs/2003.03300
Due to the increasing demand for high performance and cost reduction within the framework of complex system design, numerical optimization of computationally costly problems is an increasingly popular topic in most engineering fields. In this paper,
Externí odkaz:
http://arxiv.org/abs/1806.03975
Publikováno v:
Optimization & Engineering; Mar2024, Vol. 25 Issue 1, p373-412, 40p
Akademický článek
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Publikováno v:
5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2023)
5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2023), Jun 2023, Athène, Greece
5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2023), Jun 2023, Athène, Greece
International audience; We consider the problem of learning time-consuming functions defined over unordered sets of vectors. Such functions arise frequently, in particular in the context of networks of devices whose number is not fixed and that inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2885::ff2bfb31e7b715f1f38f463d39c0e7f7
https://hal-emse.ccsd.cnrs.fr/emse-04043206/file/papier.pdf
https://hal-emse.ccsd.cnrs.fr/emse-04043206/file/papier.pdf
Publikováno v:
MASCOT-NUM2023
MASCOT-NUM2023, Apr 2023, LE CROISIC, France
MASCOT-NUM2023, Apr 2023, LE CROISIC, France
International audience; We consider the task of estimating functions from a restricted number of observations where the inputs are in the form of varying-size sets of vectors. A classical method in this expensive functions context is to approximate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2885::b3862e66ee8a99e26c854e62bea65de1
https://hal.science/hal-04102275
https://hal.science/hal-04102275
Autor:
Pelamatti, Julien, El Amri, Mohamed Reda, Le Riche, Rodolphe, Blanchet-Scalliet, Christophette, Helbert, Céline
Publikováno v:
Hybrid Conference: 2022 SIAM Conference on Uncertainty Quantification
Hybrid Conference: 2022 SIAM Conference on Uncertainty Quantification, Apr 2022, Atlanta, United States
Hybrid Conference: 2022 SIAM Conference on Uncertainty Quantification, Apr 2022, Atlanta, United States
International audience; We consider the problem of chance constrained optimization where the objective and the constraint functions are affected by uncertainties and are computationally costly. Bayesian optimization is an appropriate family of method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cfa7daef076cbc10a13bc5a7ae163160
https://hal-emse.ccsd.cnrs.fr/emse-03657435
https://hal-emse.ccsd.cnrs.fr/emse-03657435
Publikováno v:
MASCOT-NUM
MASCOT-NUM, Jun 2022, Clermont Ferrand, France
MASCOT-NUM, Jun 2022, Clermont Ferrand, France
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f4d7d3148fb0c300845d94f423bdb0a8
https://hal-emse.ccsd.cnrs.fr/emse-03720276
https://hal-emse.ccsd.cnrs.fr/emse-03720276
Akademický článek
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