Machine–Learning in Optimization of Expensive Black–Box Functions
Modern engineering design optimization often uses computer simulations to evaluate candidate designs. For some of these designs the simulation can fail for an unknown reason, which in turn may hamper the optimization process. To handle such scenarios more effectively, this study proposes the integra...
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| Format: | Article |
| Language: | English |
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Sciendo
2017-03-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
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| Online Access: | https://doi.org/10.1515/amcs-2017-0008 |