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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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To search for an optimal design in a large search space, Wu, Mao, Ma
(1990) suggested the SEL-method to find an optimal setting. Genetic
algorithms (GA) can be used to improve upon this method. To make the
search procedure more efficient, new ideas of forbidden array and weighted
mutation are introduced. Relaxing the condition of orthogonality, GA is
able to accommodate a variety of design points which allows more
flexibility and enhances the chance of getting the best setting in fewer
runs, particularly in the presence of interactions. The search procedure
is enriched by a Bayesian method for identifying the important main
effects and two-factor interactions. Illustration is given with the
optimization of three functions, one of which is from Shekel's family.
