@inProceedings{
 title = {Hybrid geno-fuzzy controllers},
 type = {inProceedings},
 year = {1995},
 identifiers = {[object Object]},
 pages = {2034-2039},
 volume = {3},
 id = {3c8e6bf7-5e0a-3867-8ad2-dbf4eb67ce76},
 created = {2016-04-20T16:45:31.000Z},
 file_attached = {false},
 profile_id = {bca0fddf-79ea-3c29-93ed-6177ce521efd},
 last_modified = {2017-03-10T05:31:49.922Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 folder_uuids = {7f60698f-84aa-4f24-a626-ca6db12a9181},
 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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