  In this work we describe the implementation and analysis of different
optimization algorithms used for finding the best set of parameters for a Fuzzy
Inference System intended to classify solar flares. The parameters will be
identified among a universe of possible solutions for the algorithms, and the
system will be tested in the particular case of dealing with the aim of
classifying the solar flares.
