![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
A model-robust design is an experimental array that has high efficiency with respect to a particular optimization criterion for every member of a set of candidate models that are of interest to the experimenter. We present a technique to construct model-robust alphabetically-optimal designs using genetic algorithms. The technique is useful in situations where computer-generated designs are most likely to be employed, particularly experiments with mixtures and response surface experiments in constrained regions. Examples illustrating the procedure are provided.
Additional information
Notes on contributors
Alejandro Heredia-Langner
Dr. Heredia-Langner is a Member of the Statistical and Quantitative Sciences Group. His e-mail address is [email protected].
Douglas C. Montgomery
Dr. Montgomery is a Professor of Industrial Engineering. He is a Fellow of ASQ. His e-mail address is [email protected].
W. Matthew Carlyle
Dr. Carlyle is an Associate Professor of Operations Research. His e-mail address is [email protected].
Connie M. Borror
Dr. Borror is an Assistant Professor in the Decision Sciences Department.
