Fuzzy logic controller design using genetic algorithm
Peifeng Hao · Kongzhi yu juece · 2003
The genetic operations are implemented to determine almost all of the parameters in fuzzy controller, such as appropriate combinations of input variables, number of fuzzy rulers and parameters for membership functions. These parameters are encoded into the chromosomes. Setting the fitness function is the only work for the designer of the controllers. A local improvement mechanism, the simulated annealing (SA), is aided to the GA to optimize the parameters of membership functions. And the virtues of combining GA with SA are discussed. An example proves the effectiveness of the proposed approach.