Evolutionary Design of Fuzzy Logic Controllers Using Strongly-Typed GP

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{alba:1999:edflcSGP,

• 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 http://docto-si.ugr.es/Mathware/ENG/mathware.html",

}

Genetic Programming entries for Enrique Alba Carlos Cotta Jose Maria Troya

Citations