Evolutionary design of fuzzy logic controllers using strongly-typed GP.

Enrique Alba; Carlos Cotta; José M. Troya

Mathware and Soft Computing (1999)

  • Volume: 6, Issue: 1, page 109-124
  • ISSN: 1134-5632

Abstract

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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.

How to cite

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Alba, Enrique, Cotta, Carlos, and Troya, José M.. "Evolutionary design of fuzzy logic controllers using strongly-typed GP.." Mathware and Soft Computing 6.1 (1999): 109-124. <http://eudml.org/doc/39145>.

@article{Alba1999,
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.},
author = {Alba, Enrique, Cotta, Carlos, Troya, José M.},
journal = {Mathware and Soft Computing},
keywords = {Controladores difusos; Algoritmos genéticos; Programación orientada a objetos; Lógica difusa; Sistemas de control},
language = {eng},
number = {1},
pages = {109-124},
title = {Evolutionary design of fuzzy logic controllers using strongly-typed GP.},
url = {http://eudml.org/doc/39145},
volume = {6},
year = {1999},
}

TY - JOUR
AU - Alba, Enrique
AU - Cotta, Carlos
AU - Troya, José M.
TI - Evolutionary design of fuzzy logic controllers using strongly-typed GP.
JO - Mathware and Soft Computing
PY - 1999
VL - 6
IS - 1
SP - 109
EP - 124
AB - 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.
LA - eng
KW - Controladores difusos; Algoritmos genéticos; Programación orientada a objetos; Lógica difusa; Sistemas de control
UR - http://eudml.org/doc/39145
ER -

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