abstract = "Symbolic regression (SR) is the process of determining
the symbolic function, which describes a data
set-effectively developing an analytic model, which
summarizes the data and is useful for predicting
response behaviours as well as facilitating human
insight and understanding. The symbolic regression
approach adopted herein is based upon genetic
programming wherein a population of functions are
allowed to breed and mutate with the genetic
propagation into subsequent generations based upon a
survival-of-the-fittest criteria. Amazingly, this works
and, although computationally intensive, summary
solutions may be reasonably discovered using current
laptop and desktop computers.",
notes = "Author Affiliations
Curtin University, Perth, West Australia,
Australia
Budapest University of Technology and Economics,
Budapest, Hungary",