Exclusive Content & Downloads from ASQ

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.

Anyone with a subscription, including Site and Enterprise members, can access this article.

Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

Subscribe to Journal of Quality Technology

Access this and ALL OTHER Journal of Quality Technology online articles. You'll also receive the print version by mail.

  • 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