Robust design optimization using the price of robustness, robust least squares and regularization methods
In this paper a framework for robust optimization of mechanical design problems and process systems that have parametric uncertainty is presented using three different approaches. Robust optimization problems are formulated so that the optimal solution is robust which means it is minimally sensitive...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2017-01-01
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| Series: | International Journal for Simulation and Multidisciplinary Design Optimization |
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| Online Access: | https://doi.org/10.1051/smdo/2017007 |