A comparison of mixed-variables Bayesian optimization approaches
Abstract Most real optimization problems are defined over a mixed search space where the variables are both discrete and continuous. In engineering applications, the objective function is typically calculated with a numerically costly black-box simulation. General mixed and costly optimization probl...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2022-06-01
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| Series: | Advanced Modeling and Simulation in Engineering Sciences |
| Online Access: | https://doi.org/10.1186/s40323-022-00218-8 |