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Response Surface Modeling, and Optimization
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The value of statistically based experimental designs (the matrix of
runs generated
by specific combinations of input values) has been well
established [19][9]. The DOE/Opt
system strongly encourages the use of designed simulation experiments
where the input parameters are varied in a carefully structured
pattern so as to maximize the information that can be extracted from
the resulting simulations. In our work, we have achieved tight
integration between specification of models (via blocks), generation
of experimental designs, automatic execution of those designs, and
generation of response surface models from execution results.