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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| Published in: | arXiv.org |
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| Main Authors: | , , |
| Format: | Paper |
| Language: | English |
| Published: |
Ithaca
Cornell University Library, arXiv.org
09.05.2016
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| Subjects: | |
| ISSN: | 2331-8422 |
| Online Access: | Get full text |
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