Evolutionary design of fuzzy logic controllers using strongly-typed GP

• Autores: Enrique Alba Torres, Carlos Cotta Porras, José María Troya Linero
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 6, Nº. 1, 1999, págs. 109-124
• Idioma: inglés
• Títulos paralelos:
  • Diseño evolucionario de controladores de lógica difusa usando programación genética fuertemente tipada
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• Resumen

  • 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.