Algoritmos genéticos y su aplicación en la visualización de un mapa auto-organizado Algoritmos genéticos y su aplicación en la visualización de un mapa auto-organizado

Abstract

Genetic algorithms were proposed during the 1970’s as a great computational tool for the artificial solution of complex problems. Its design and operation are based on the ability of living beings to adapt themselves to the demands of their environment. This capacity artificially achieves that a certain problem adapts a set of solutions. This article presents an application of these algorithms, focused on visualizing the distances between cognitive neurons on a self-organized map of Kohonen. This method is a better way of interpreting their learning, in contrast to the limitations of the method known as matrix-unified distances (or U-matrix).