Evolutionary Design of Fuzzy Logic Controllers Using Strongly-Typed GP

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

  author =       "Enrique Alba and Carlos Cotta and Jose M. Troya",
  title =        "Evolutionary Design of Fuzzy Logic Controllers Using
                 Strongly-Typed GP",
  journal =      "Mathware \& Soft Computing",
  year =         "1999",
  volume =       "6",
  number =       "1",
  pages =        "109--124",
  keywords =     "genetic algorithms, genetic programming, Type System,
                 Fuzzy Logic Controller, Cart-Centering Problem",
  URL =          "http://docto-si.ugr.es/Mathware/v6n1/PS/7-alba.ps.gz",
  abstract =     "An evolutionary approach to the design of fuzzy logic
                 controllers is presented in this paper. We propose the
                 use of the genetic programming paradigm to evolve fuzzy
                 rule-bases (internally represented as type-constrained
                 syntactic trees). This model has been applied to the
                 cart-centering problem, although it can be readily
                 extended to other problems. The obtained results show
                 that a good parameterization of the algorithm, and an
                 appropriate evaluation function, can lead to
                 near-optimal solutions.",
  notes =        "Mathware and softcomputing

Genetic Programming entries for Enrique Alba Carlos Cotta Jose Maria Troya