(Enter summary)
Abstract: In this paper we describe the genetic algorithms and fuzzy logic, focusing them as tools
to model control processes and to design intelligent and automatic control systems. We
describe the application of genetic algorithms to design fuzzy logic controllers, as well as the
learning classifier systems and their development in a fuzzy environment, the fuzzy learning
classifier systems.
Keywords: Genetic algorithms, fuzzy logic, control processes, fuzzy logic controllers, classifier
systems.
1... (Update)
Cited by: More
Working Group on APPROXIMATE REASONING AND ARTIFICIAL.. - Departamento De
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BibTeX entry: (Update)
Cordon O., Herrera F., Herrera-Viedma E., Lozano F. (1996) Genetic Algorithms and Fuzzy Logic in Control Processes. Archives of Control Sciences. To appear. http://citeseer.ist.psu.edu/cordon95genetic.html More
@misc{ cordon96genetic,
author = "O. Cordon and F. Herrera and E. Herrera-Viedma and F. Lozano",
title = "Genetic Algorithms and Fuzzy Logic in Control Processes",
text = "Cordon O., Herrera F., Herrera-Viedma E., Lozano F. (1996) Genetic Algorithms
and Fuzzy Logic in Control Processes. Archives of Control Sciences. To appear.",
year = "1996",
url = "citeseer.ist.psu.edu/cordon95genetic.html" }
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