Bayesian optimization of variable-size design space problems

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 system design problems occasionally present a vari...

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Vydáno v:	Optimization and engineering Ročník 22; číslo 1; s. 387 - 447
Hlavní autoři:	Pelamatti, Julien, Brevault, Loïc, Balesdent, Mathieu, Talbi, El-Ghazali, Guerin, Yannick
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.03.2021 Springer Nature B.V Springer Verlag
Témata:	Bayesian analysis Budgets Complex systems Complex variables Continuity (mathematics) Control Covariance Design optimization Engineering Engineering Sciences Environmental Management Financial Engineering Kernel functions Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Physics Research Article Systems design Systems Theory Variables Mixed-variable optimization problems Bayesian optimization Variable-size design space optimization problems Discrete variables
ISSN:	1389-4420, 1573-2924
On-line přístup:	Získat plný text
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