The general minimum lower-order confounding (GMC) criterion for two-level design not only reveals the confounding information of factor effects but also provides a good way to select the optimal design, which was proposed by Zhang et al. (2008). The criterion is based on the aliased effect-number pattern (AENP). Therefore, it is very important to study properties of AENP for two-level GMC design. According to the ordering of elements in the AENP, the confounding information between lower-order factor effects is more important than that of higher-order effects. For two-level GMC design, this paper mainly shows the interior principles to calculate the leading elementsC1#2andC2#2in the AENP. Further, their mathematical formulations are obtained for every GMC2n-mdesign withN=2n-maccording to two cases: (i)5N/16+1≤n<N/2and (ii)N/2≤n≤N-1.
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