Evolution of a Controller with a Free Variable using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=1802&spage=91",
  DOI =          "doi:10.1007/978-3-540-46239-2_7",
  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

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