Proceedings of the Annual Meeting of the Cognitive Science Society

Genetic Algorithms (GAs) make use of an internal representation of a given system in order to perform optimization functions. The actual structural layout of this representation, called a genome, has a crucial impact on the outcome of the optimization process. The purpose of this paper is to study the effects of different internal representations in a G A , which generates neural networks. A second G A was used to optimize the genome structure. This structure produces an optimized system within a shorter time interval.