Global Optimization Employing Gaussian Process-Based Bayesian Surrogates
The simulation of complex physics models may lead to enormous computer running times. Since the simulations are expensive it is necessary to exploit the computational budget in the best possible manner. If for a few input parameter settings an output data set has been acquired, one could be interest...
| Published in: | Entropy |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-03-01
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| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/20/3/201 |