Numerical Optimization Using Computer Experiments
| dc.contributor.author | Trosset, Michael | en_US |
| dc.contributor.author | Torczon, Virginia | en_US |
| dc.date.accessioned | 2018-06-18T17:44:06Z | en_US |
| dc.date.available | 2018-06-18T17:44:06Z | en_US |
| dc.date.issued | 1997-03 | en_US |
| dc.date.note | March 1997 (Revised August 1999) | en_US |
| dc.description.abstract | Engineering design optimization often gives rise to problems in which expensive objective functions are minimized by derivative-free methods. We propose a method for solving such problems that synthesizes ideas from the numerical optimization and computer experiment literatures. Our approach relies on kriging known function values to construct a sequence of surrogate models of the objective function that are used to guide a grid search for a minimizer. Results from numerical experiments on a standard test problem are presented. | en_US |
| dc.format.extent | 16 pp | en_US |
| dc.identifier.citation | Trosset, Michael and Torczon, Virginia. "Numerical Optimization Using Computer Experiments." (1997) <a href="https://hdl.handle.net/1911/101888">https://hdl.handle.net/1911/101888</a>. | en_US |
| dc.identifier.digital | TR97-02 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/101888 | en_US |
| dc.language.iso | eng | en_US |
| dc.title | Numerical Optimization Using Computer Experiments | en_US |
| dc.type | Technical report | en_US |
| dc.type.dcmi | Text | en_US |
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