Hybrid geno-fuzzy controllers. Dumitrache, I. and Buiu, C. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, volume 3, pages 2034-2039, 1995.
abstract   bibtex   
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 presented results indicate that the hybrid geno-fuzzy controller is superior to a conventional fuzzy controller.
@inProceedings{
 title = {Hybrid geno-fuzzy controllers},
 type = {inProceedings},
 year = {1995},
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 pages = {2034-2039},
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 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 presented results indicate that the hybrid geno-fuzzy controller is superior to a conventional fuzzy controller.},
 bibtype = {inProceedings},
 author = {Dumitrache, Ion and Buiu, Catalin},
 booktitle = {Proceedings of the IEEE International Conference on Systems, Man and Cybernetics}
}
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