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Comparison of On-line Design of Experiments Methods on Physical Models

Authors
  • Rutten, Koen; 59569;
  • De Baerdemaeker, Josse; 2071;
  • De Ketelaere, Bart; 6697;
Publication Date
Aug 01, 2011
Source
Lirias
Keywords
Language
English
License
Unknown
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Abstract

The general goal of the research was to develop Design of Experiments (DOE) methods that can be used during the production process. They differ from classical DOE because new experiments are incrementally defined based on the outcome of previous experiments. A first step consisted of comparing a heuristic online optimization strategy, the simplex, with the most basic form of sequential response surface modeling (sRSM), a factorial augmented with steepest ascent, called factorial EVOP in this text. The comparison was made using the mathematical model of a real physical process. The optimization methods were programmed in Matlab®. To compare these methods, a set of hundred randomly chosen starting points was obtained as an input for all methods. Several comparisons were made: number of steps needed to reach the optimum, quality of the optimum… The first results are presented and discussed. / status: accepted

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