Evolutionary Design of Fuzzy Logic Controllers

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

  author =       "Carlos Cotta and E. Alba and J. M. Troya",
  title =        "Evolutionary Design of Fuzzy Logic Controllers",
  booktitle =    "Proceedings of the 1996 IEEE International Symposium
                 on Intelligent Control",
  year =         "1996",
  pages =        "127--132",
  address =      "Dearborn MI, USA",
  month =        "15-18 Septmeber",
  publisher =    "IEEE Control Systems Society",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.lcc.uma.es/~ccottap/papers/isic96flc.pdf",
  size =         "6 pages",
  abstract =     "An evolutionary approach to fuzzy logic controller
                 design is presented in this paper. We propose the use
                 of a class of genetic algorithms to produce suboptimal
                 fuzzy rule-bases (internally represented as constrained
                 syntactic trees). This model has been applied to the
                 cart centering problem. The obtained results show that
                 a good parameterisation of the algorithm and an
                 appropriate evaluation function lead to near-optimal

Genetic Programming entries for Carlos Cotta Enrique Alba Jose Maria Troya