Resumen

CELEMIN-PAEZ, Carlos E.; MARTINEZ-GOMEZ, Hair A.  y  MELGAREJO, Miguel. Fuzzy classifiers tuning using genetic algorithms with FCM-based initialization . Ing. compet. [online]. 2013, vol.15, n.1, pp.9-20. ISSN 0123-3033.

This paper presents an initialization technique for a Simple Genetic Algorithm that tunes a Fuzzy Inference System working as a classifier. The proposed technique uses the Fuzzy C-Means (FCM) clustering algorithm to generate the initial population of a Simple Genetic Algorithm. Two classification problems are considered to validate the proposed algorithm and to compare it against a Simple Genetic Algorithm with random initialization. Results show that it is possible to achieve a reduction in generations necessary for finding a desired classifier by using the proposed technique

Palabras clave : Clustering algorithms; genetic algorithms; fuzzy classifiers; fuzzy systems.

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