Application Issues of Genetic Programming in Industry
Arthur K. Kordon, Flor Alba Castillo, Guido F. Smits, Mark E. Kotanchek · Kluwer Academic Publishers eBooks · 2006
This chapter gives a systematic view, based on the experience from The Dow Chemical Company, of the key issues for applying symbolic regression with Genetic Programming (GP) in industrial problems. The competitive advantages of GP are defined and several industrial problems appropriate for GP are recommended and referenced with specific applications in the chemical industry. A systematic method for selecting the key GP parameters, based on statistical design of experiments, is proposed. The most significant technical and non-technical issues for delivering a successful GP industrial application are discussed briefly.