On the design of optimal change-over experiments through multi-objective simulated annealing

Authors:
J. Eccleston;D. Whitaker
Affiliations:
Department of Mathematics, University of Queensland, Australia;Department of Statistics, University of Waikato, New Zealand
Venue:
Statistics and Computing
Year:
1999

Citing 1
Cited 3

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Two-stage generalized simulated annealing for the construction of change-over designs

DESIGNS 2002
Choosing cross-over designs when few subjects are available

Computational Statistics & Data Analysis

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Abstract

The construction of optimal designs for change-over experiments requires consideration of the two component treatment designs: one for the direct treatments and the other for the residual (carry-over) treatments. A multi-objective approach is introduced using simulated annealing, which simultaneously optimises each of the component treatment designs to produce a set of dominant designs in one run of the algorithm. The algorithm is used to demonstrate that a wide variety of change-over designs can be generated quickly on a desk top computer. These are generally better than those previously recorded in the literature.