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.
@article{urn:eudml:doc:39145,
title = {Evolutionary design of fuzzy logic controllers using strongly-typed GP.},
journal = {Mathware and Soft Computing},
volume = {6},
year = {1999},
pages = {109-124},
zbl = {0958.93534},
language = {en},
url = {http://dml.mathdoc.fr/item/urn:eudml:doc:39145}
}
Alba, Enrique; Cotta, Carlos; Troya, José M. Evolutionary design of fuzzy logic controllers using strongly-typed GP.. Mathware and Soft Computing, Tome 6 (1999) pp. 109-124. http://gdmltest.u-ga.fr/item/urn:eudml:doc:39145/