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dc.contributor.authorTrosset, Michael W.
dc.date.accessioned 2018-06-18T17:43:00Z
dc.date.available 2018-06-18T17:43:00Z
dc.date.issued 1996-10
dc.identifier.citation Trosset, Michael W.. "Taguchi and Robust Optimization." (1996) https://hdl.handle.net/1911/101885.
dc.identifier.urihttps://hdl.handle.net/1911/101885
dc.description.abstract This report is intended to facilitate dialogue between engineers and optimizers about the efficiency of Taguchi methods for robust design, especially in the context of design by computer simulation. Three approaches to robust design are described: 1)Robust optimization, i.e., specifying an objective function f and then minimizing a smoothed (robust) version of f by the methods of numerical optimization. 2) Taguchi's method of specifying the objective function as a certain signal-to-noise ratio, to be optimized by designing, performing, and analyzing a single massive element. 3) Specifying an expected loss function f and then minimizing a cheap-to-compute surrogate objective function f, to be obtained by designing and performing a single massive element.
dc.format.extent 10 pp
dc.title Taguchi and Robust Optimization
dc.type Technical report
dc.date.note October 1996 (Revised March 1997)
dc.identifier.digital TR96-31
dc.type.dcmi Text


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