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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Bibliographic Details
Published in:	Optimization and engineering Vol. 22; no. 1; pp. 387 - 447
Main Authors:	Pelamatti, Julien, Brevault, Loïc, Balesdent, Mathieu, Talbi, El-Ghazali, Guerin, Yannick
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.03.2021 Springer Nature B.V Springer Verlag
Subjects:	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
Online Access:	Get full text
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