Supersaturated Designs with the Maximum Number of Factors for a Given Resolution-Rank
This article introduces new balanced two-level supersaturated designs with a large number of factors for a given resolution-rank, a criterion that directly assesses a supersaturated design’s ability to detect active factors. The search for supersaturated designs with the largest possible number of factors for a given resolution-rank is implemented by binary integer programming and exhaustive search that exploits design equivalence. We explore supersaturated designs with n = 6, 8, 10, and 12 runs. Six designs have been shown to have the maximum number of columns, and six new designs with improved resolution rank are found.
KeywordsDesign equivalence Minimal dependent sets Set-covering
AMS Subject Classification62K15
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