Publication
Title
Optimal design of large-scale screening experiments : a critical look at the coordinate-exchange algorithm
Author
Abstract
We focus on the D-optimal design of screening experiments involving main-effects regression models, especially with large numbers of factors and observations. We propose a new selection strategy for the coordinate-exchange algorithm based on an orthogonality measure of the design. Computational experiments show that this strategy finds better designs within an execution time that is 30 % shorter than other strategies. We also provide strong evidence that the use of the prediction variance as a selection strategy does not provide any added value in comparison to simpler selection strategies. Additionally, we propose a new iterated local search algorithm for the construction of D-optimal experimental designs. This new algorithm outperforms the original coordinate-exchange algorithm.
Language
English
Source (journal)
Statistics and computing. - London
Publication
London : 2016
ISSN
0960-3174
Volume/pages
26:1-2(2016), p. 15-28
ISI
000373347100002
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 08.02.2016
Last edited 24.07.2017
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