Evolutionary Algorithms and Fuzzy Logic: A two-way integration

نویسنده

  • Andrea G. B. Tettamanzi
چکیده

Two ingredients of soft computing, evolutionary computing and fuzzy logic can be combined in a way that makes them beneet from one another. An evolutionary algorithm can evolve fuzzy systems, while fuzzy logic can be used to control evolution to speed up convergence to a global optimum and escape from local optima. Besides, concepts that are inherent in the workings of evolutionary algorithms, like tness, can be fuzziied, thus taking advantage of a tolerance for imprecision in order to save computational resources. These ideas are demonstrated in an evolutionary algorithm for fuzzy controller synthesis and optimization.

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تاریخ انتشار 1995