Optimizing fuzzy logic with genetic algorithm
A. Uchibori, K. Miyajima, Yasunari Shidama, Hiroo Yamaura · 2002
We consider the existence of an optimal solution and the convergency of a genetic algorithm when it is used for optimizing fuzzy logic. The existence of an optimal solution is assured by the compactness of the the set of membership functions that defines the rules of the fuzzy logic. The convergency of the algorithm is assured by the compactness and the modification of the algorithm.