Construction of exact D-optimal designs for linear regression models using genetic algorithms

Construction of exact D-optimal designs for linear regression models using genetic algorithms

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Article ID: iaor19932028
Country: Belgium
Volume: 32
Issue: 1/2
Start Page Number: 153
End Page Number: 174
Publication Date: Jan 1992
Journal: Belgian Journal of Operations Research, Statistics and Computer Science
Authors: ,
Keywords: statistics: experiment, optimization: simulated annealing
Abstract:

This paper reports the application of generic algorithms to the construction of exact D-optimal designs for linear regression models. D-optimal designs and the 2-exchange Federov algorithm are introduced. A modification of this algorithm, based on simulated annealing, is then discussed. This procedure is taken as a basis for the cross-over and mutation operators used by the generic algorithm that is proposed in this paper. Finally, the performance of this algorithm is illustrated by applying it to the construction of exact D-optimal designs for the 2nd order model with 2 factors on the domain [¸-1.0,1.0]×[¸-1.0,1.0].

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