Natural selection at work: an accelerated evolutionary computing approach to predictive model selection.
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.
Akman
Olcay
O
Department of Mathematics, Illinois State University Normal, IL, USA.
Hallam
Joshua W
JW