Algorithmic search for baseline minimum aberration designs

作者：Li Pei; Miller Arden^*; Tang Boxin

来源：Journal of Statistical Planning and Inference, 2014, 149: 172-182.

DOI：10.1016/j.jspi.2014.02.009

• Baseline model
• Minimum aberration
• Orthogonal array
• Search algorithm
• Two-level design

This paper reviews the formulation of the K-aberration criterion for baseline two-level designs and the efficient complete search algorithm developed by Mukerjee and Tang (2012). An efficient incomplete search algorithm is proposed that can be used to find near optimal baseline designs in situations where the complete search algorithm is not feasible. Lower bounds for values of K-2 and K-3 are established. A catalogue of optimal (or near optimal) 20-run baseline designs is provided.

• 出版日期2014-6