Artificial cloning of an on-line controller, based on fuzzy logic and genetic algorithms

Genetic Algorithms are adaptive procedures to the search of solutions in complex spaces, inspired by biological evolution, with operations patterns based on the individuals' reproduction and survival Darwinian's principle of those who adapt better to the environment in which they live. This article develops a study of the Genetic Algorithms and the Diffuse Logic, to develop a proposed methodology and to reply the black box of a controller, using procedures of collecting the set of inference rules, diffuse cluster, and later to apply the simple genetic algorithm development with some alterations, looking for the objective of the proposed work.