A Bayesian approach to constrained single- and multi-objective optimization

This article addresses the problem of derivative-free (single- or multi-objective) optimization subject to multiple inequality constraints. Both the objective and constraint functions are assumed to be smooth, non-linear and expensive to evaluate. As a consequence, the number of evaluations that can...

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Bibliographic Details
Published in:arXiv.org
Main Authors: Feliot, Paul, Bect, Julien, Vazquez, Emmanuel
Format: Paper
Language:English
Published: Ithaca Cornell University Library, arXiv.org 09.05.2016
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ISSN:2331-8422
Online Access:Get full text
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