title: Natural selection at work: an accelerated evolutionary computing approach to predictive model selection.
abstract: We implement genetic algorithm based predictive model building as an alternative to the traditional stepwise regression. We then employ the Information Complexity Measure (ICOMP) as a measure of model fitness instead of the commonly used measure of R-square. Furthermore, we propose some modifications to the genetic algorithm to increase the overall efficiency.
authors.affiliation: Department of Mathematics, Illinois State University Normal, IL, USA.
authors.forename: Olcay
authors.initials: O
authors.lastname: Akman
authors.forename: Joshua W
authors.initials: JW
authors.lastname: Hallam