Title
An iterated local search algorithm for the construction of large scale D-optimal experimental designs An iterated local search algorithm for the construction of large scale D-optimal experimental designs
Author
Faculty/Department
Faculty of Applied Economics
Publication type
report
Publication
Antwerp :UA, [*]
Subject
Economics
Source (series)
Research paper / University of Antwerp, Faculty of Applied Economics ; 2013:006
Volume/pages
20 p.,
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
We focus on the D-optimal design of screening experiments involving main-eects 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 exper- iments show that this strategy nds 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 clearly outperforms the original coordinate-exchange algorithm.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/dbaaab/8d1a6cf1.pdf
Handle