On algorithmic construction of maximin distance designs |
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Authors: | Weiyan Mu |
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Affiliation: | School of Science, Beijing University of Civil Engineering and Architecture, Beijing, China |
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Abstract: | Maximin distance designs are useful for conducting expensive computer experiments. In this article, we compare some global optimization algorithms for constructing such designs. We also introduce several related space-filling designs, including nested maximin distance designs, sliced maximin distance designs, and general maximin distance designs with better projection properties. These designs possess more flexible structures than their analogs in the literature. Examples of these designs constructed by the algorithms are presented. |
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Keywords: | Computer experiment Global optimization Nested design Projectional property Quasi-Monte Carlo Sliced design Space-filling design |
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