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 parameterization of the algorithm and an appropriate
evaluation function lead to near-optimal solutions.