Statistics and Computing

, Volume 9, Issue 3, pp 203–207 | Cite as

Partially-latinized designs

  • J. A. John
  • E. R. Williams


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.

A-optimality average efficiency factor interchange algorithm latinized designs (M,S)-optimality resolvable designs row-column designs simulated annealing upper bounds 


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Copyright information

© Kluwer Academic Publishers 1999

Authors and Affiliations

  • J. A. John
  • E. R. Williams

There are no affiliations available

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