Аннотация
The 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.
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