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Published in:
2007 | OriginalPaper | Chapter
Evolutionary Computing for Topology Optimization of Type-2 Fuzzy Controllers
Authors : Oscar Castillo, Gabriel Huesca, Fevrier Valdez
Published in: Hybrid Intelligent Systems
Publisher: Springer Berlin Heidelberg
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We describe in this paper the use of hierarchical genetic algorithms for fuzzy system optimization in intelligent control. In particular, we consider the problem of optimizing the number of rules and membership functions using an evolutionary approach. The hierarchical genetic algorithm enables the optimization of the fuzzy system design for a particular application. We illustrate the approach with the case of intelligent control in a medical application. Simulation results for this application show that we are able to find an optimal set of rules and membership functions for the fuzzy system.