Advances in Bayesian Optimization with Applications in Aerospace Engineering
Optimization requires the quantities of interest that define objective functions and constraints to be evaluated a large number of times. In aerospace engineering, these quantities of interest can be expensive to compute (e.g., numerically solving a set of partial differential equations), leading to...
| Main Authors: | , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
American Institute of Aeronautics and Astronautics,
2018-06-21T14:37:16Z.
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| Subjects: | |
| Online Access: | Get fulltext |