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Partially-latinized designs

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Abstract

An interchange optimization algorithm to construct partially-latinized designs is described. The objective function is a weighted linear combination of up to five functions, each of which corresponds to a blocking factor of the required design. Nested simulated annealing is used to address local optima problems. The average efficiency factors of the generated designs are assessed against theoretical upper bounds.

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Authors
  1. J. A. John
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  2. E. R. Williams
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John, J.A., Williams, E.R. Partially-latinized designs. Statistics and Computing 9, 203–207 (1999). https://doi.org/10.1023/A:1008969914035

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  • DOI: https://doi.org/10.1023/A:1008969914035

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