Genetic programming for Expert Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Konrad Sickel and Joachim Hornegger",
  title =        "Genetic programming for Expert Systems",
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "Genetic programming is the usage of the paradigm of
                 survival of the fittest in scientific computing. It is
                 applied to evolve solutions to problems where
                 dependencies between multiple input factors are
                 unknown. In this paper we propose and evaluate the
                 application of a specifically adapted genetic
                 programming framework to optimise the rule base of an
                 expert system. The expert system controls a
                 computer-aided-design software and targets the
                 automation of a manufacturing process. The used steady
                 state genetic programming framework introduces some
                 variations on the selection and evolution operators
                 normally used in genetic programming. In particular:
                 size enforcing mutation, dynamic fitness calculation
                 and size constraint ranking. The genetic programming
                 system is evaluated with real data and led to an
                 improved expert system performance of about 22
  DOI =          "doi:10.1109/CEC.2010.5586200",
  notes =        "WCCI 2010. Also known as \cite{5586200}",

Genetic Programming entries for Konrad Sickel Joachim Hornegger