Optimal multi-level supersaturated designs through integer programming
B.N. Mandal and
C. Koukouvinos
Statistics & Probability Letters, 2014, vol. 84, issue C, 183-191
Abstract:
This article proposes a novel approach to construct optimal balanced multi-level supersaturated designs using linear integer programming. We illustrate the approach with an example. Using the proposed approach, we construct and catalogue optimal balanced multi-level supersaturated designs in the parametric range m≤100,n≤20 and q≤10.
Keywords: Algorithm; Aliased; Integer programming; Multi-level supersaturated designs (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:84:y:2014:i:c:p:183-191
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DOI: 10.1016/j.spl.2013.10.007
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