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Genetic Algorithms for the Construction of D-Optimal Designs

Summary: [This abstract is based on the authors' abstract.] In situations where factorial or response surface designs cannot be easily used, computer-generated designs, particularly D-optimal designs, are useful. D-optimal designs are usually constructed by algorithms that sequentially add and delete points from a potential design by using a candidate set of points spaced over the region of interest. A method of generating D-efficient designs using genetic algorithms is proposed that eliminates the need to explicitly consider a candidate set of experimental points. This approach can be used in highly constrained regions while maintaining a level of performance comparable to more traditional design construction techniques.

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  • Topics: Design of Experiments
  • Keywords: Computer-Aided Design (CAD),Design of Experiments (DOE),D-optimality
  • Author: Heredia-Langner, Alejandro; Carlyle, W.M.; Montgomery, D.C.; Borror, C.M.; Runger, G.C.
  • Journal: Journal of Quality Technology