A New Learning Method for the Design of Hierarchical Fuzzy Controllers Using Messy Genetic Algorithms
نویسنده
چکیده
An automatic design method for fuzzy controllers with a hierarchical prioritized structure is proposed. A messy genetic algorithm is used to learn di erent types of behaviour which are represented by a hierarchical set of fuzzy rules. We demonstrate that messy genetic algorithms are well suited to the task of learning because they allow a exible representation of the hierarchical prioritized structure.Finally we have applied the method to the problem of controlling a physical autonomous vehicle, which given the task of reaching a given location while avoiding obstacles on the way.
منابع مشابه
Automatic Design of Hierarchical Fuzzy Controllers Using Genetic Algorithms
An automatic design method for hierarchical fuzzy controllers using genetic algorithms is proposed. A reorder operator for the genetic algorithm is introduced. We applied the method to the problem of controlling an autonomous vehicle with the task to reach a given location and avoiding obstacles on the way.
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تاریخ انتشار 1995