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.
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Eccleston, J., Whitaker, D. On the design of optimal change-over experiments through multi-objective simulated annealing. Statistics and Computing 9, 37–42 (1999). https://doi.org/10.1023/A:1008810109585
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DOI: https://doi.org/10.1023/A:1008810109585