  This works proposes a methodology to searching for automatically Artificial
Neural Networks (ANN) by using Cellular Genetic Algorithm (CGA). The goal of
this methodology is to find compact networks whit good performance for
classification problems. The main reason for developing this work is centered
at the difficulties of configuring compact ANNs with good performance rating.
The use of CGAs aims at seeking the components of the RNA in the same way that
a common Genetic Algorithm (GA), but it has the differential of incorporating a
Cellular Automaton (CA) to give location for the GA individuals. The location
imposed by the CA aims to control the spread of solutions in the populations to
maintain the genetic diversity for longer time. This genetic diversity is
important for obtain good results with the GAs.
