Generalized Genetic Program

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Christian Hafner and Juerg Froehlich and 
                 Hansueli Gerber",
  title =        "Generalized Genetic Program",
  note =         "Submitted to the 'Evolutionary Computation' Journal",
  year =         "1996",
  keywords =     "genetic algorithms, genetic programming",
  broken =       "",
  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
  notes =        "postscript generated by MS word appears to be faulty.

                 See GPP manual
  size =         "25 pages",

Genetic Programming entries for Christian Hafner Juerg Froehlich Hansueli Gerber