Evolution of a Controller with a Free Variable using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.1944

@InProceedings{koza:2000:ecfvGP,
  author =       "John R. Koza and Jessen Yu and Martin A. Keane and 
                 William Mydlowec",
  title =        "Evolution of a Controller with a Free Variable using
                 Genetic Programming",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2000",
  year =         "2000",
  editor =       "Riccardo Poli and Wolfgang Banzhaf and 
                 William B. Langdon and Julian F. Miller and Peter Nordin and 
                 Terence C. Fogarty",
  volume =       "1802",
  series =       "LNCS",
  pages =        "91--105",
  address =      "Edinburgh",
  publisher_address = "Berlin",
  month =        "15-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-67339-3",
  URL =          "http://www.genetic-programming.com/jkpdf/eurogp2000.pdf",
  URL =          "http://link.springer.de/link/service/series/0558/papers/1802/18020091.pdf",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1802&spage=91",
  size =         "15 pages",
  abstract =     "A mathematical formula containing one or more free
                 variables is {"}general{"} in the sense that it
                 provides a solution to an entire category of problems.
                 For example, the familiar formula for solving a
                 quadratic equation contains free variables representing
                 the equation's coefficients. Previous work has
                 demonstrated that genetic programming can automatically
                 synthesize the design for a controller consisting of a
                 topological arrangement of signal processing blocks
                 (such as integrators, differentiators, leads, lags,
                 gains, adders, inverters, and multipliers), where each
                 block is further specified ({"}tuned{"}) by a numerical
                 component value, and where the evolved controller
                 satisfies user-specified requirements. The question
                 arises as to whether it is possible to use genetic
                 programming to automatically create a {"}generalized{"}
                 controller for an entire category of such controller
                 design problems instead of a single instance of the
                 problem. This paper shows, for an illustrative problem,
                 how genetic programming can be used to create the
                 design for both the topology and tuning of controller,
                 where the controller contains a free variable.",
  notes =        "EuroGP'2000, part of \cite{poli:2000:GP}",
}

Genetic Programming entries for John Koza Jessen Yu Martin A Keane William J Mydlowec