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.

中文翻译：

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Otimizacao de Redes Neurais atraves de Algoritmos Geneticos Celulares

这项工作提出了一种使用细胞遗传算法（CGA）自动搜索人工神经网络（ANN）的方法。这种方法的目标是找到对分类问题具有良好性能的紧凑网络。开发这项工作的主要原因集中在配置具有良好性能等级的紧凑型人工神经网络的困难上。CGA 的使用旨在以与常见遗传算法 (GA) 相同的方式寻找 RNA 的组成部分，但它的不同之处在于结合了细胞自动机 (CA) 来为 GA 个体提供位置。CA 强加的位置旨在控制解决方案在种群中的传播，以更长时间地保持遗传多样性。这种遗传多样性对于使用 GA 获得良好的结果很重要。