Evolutionary Computing for Optimizing Type-2 Fuzzy Systems in Intelligent Control of Non-Linear Dynamic Plants
Oscar Castillo, Gabriel Huesca, Fevrier Valdez · 2005
We describe in this paper the use of evolutionary computing techniques for optimizing the design of intelligent controllers. Genetic algorithms can be used to optimize the topology of a fuzzy system for control. We are considering type-2 fuzzy logic for intelligent control and as a consequence the task of designing the fuzzy system is more difficult. We use hierarchical genetic algorithms because the problem of fuzzy system optimization requires a hierarchical chromosome for representing the information about membership functions and parameters.