Efficient sampling-based Rbdo by using virtual support vector machine and improving the accuracy of the Kriging method
The objective of this study is to propose an efficient sampling-based RBDO using a new classification method to reduce the computational cost. In addition, accuracy improvement strategies for the Kriging method are proposed to reduce the number of expensive computer experiments. Current research eff...
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| Format: | Others |
| Language: | English |
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University of Iowa
2013
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| Online Access: | https://ir.uiowa.edu/etd/1504 https://ir.uiowa.edu/cgi/viewcontent.cgi?article=5511&context=etd |