Genetic learning of fuzzy controllers

Ion Dumitrache and Cătălin Buiu

Mathematics and Computers in Simulation (MATCOM), 1999, vol. 49, issue 1, 13-26

Abstract: New methods for designing and analyzing fuzzy controllers are required. Some architectures for integrating genetic algorithms with fuzzy logic controllers, the so called hybrid geno-fuzzy controllers, are introduced and discussed. A new hybrid geno-fuzzy controller based on the algebraic model of the fuzzy controller is proposed. Genetic algorithms are shown to be able to deduce the algebraic model of a simple fuzzy controller used for controlling a truck backer–upper system. The genetic algorithm is further used to tune the coefficients of the deduced algebraic model. The simulated results indicate that the hybrid geno-fuzzy controller is superior to a conventional fuzzy controller.

Keywords: Fuzzy controllers; Hybrid geno-fuzzy controllers; Genetic algorithms (search for similar items in EconPapers)
Date: 1999
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