Evolutionary Designs for Robust Parameter Design Experimentation
نویسنده
چکیده
The following article presents the application of an evolutionary strategy to produce nearly optimal design matrices, containing the parameter settings to execute an experiment. The properties of such matrices significantly determine the precision of the optimization models used in Robust Parameter Design (RPD). The methodology presented allows the user to produce new experimental design matrices. Some of the innovative evolutionary designs obtained are presented and compared to the corresponding benchmarks.
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