abstract = "A novel hybrid approach for the Symbolic Regression
problem is presented. First, the classical series
expansion approach and the traditional Genetic
Programming approach are outlined. In order to overcome
the specific problems of them, a combination is
analyzed and two specific implementations are
presented. Both the Extended Genetic Programming and
the Generalized Genetic Programming approach are based
on series expansions with genetic optimizations of the
basis functions combined with linear and nonlinear
parameter optimizations, but they exhibit important
differences in their 'philosophy' and in the details of
the implementation. The advantages of our approaches
are demonstrated with simple examples that are hard to
solve with traditional Genetic Programming. It is
demonstrated that the performance can drastically be
improved.",
notes = "postscript generated by MS word appears to be faulty.
GGP
See GPP manual broken Oct 2021
http://alphard.ethz.ch/Hafner/ggp/ggpmanu.htm",
