Revista Facultad de Ingeniería Universidad de Antioquia
Print version ISSN 0120-6230
TABARES, Héctor and HERNANDEZ, Jesús. Forecasting of critical points of the temporary series "electrical power consumption of the industrial sector in Medellín city", using genetic algorithms. Rev.fac.ing.univ. Antioquia [online]. 2007, n.40, pp. 95-105. ISSN 0120-6230.
The Genetic Algorithms (GA) are inspired by the Darwins principle of the evolution of the species and the genetic. They are probabilistic algorithms that offer an adaptative and parallel search mechanism, based on the principle of survival of the most capable and in the reproduction. This article presents an introduction to the foundations of the GA. Also we show the software simulator AG_UdeA developed with a didactic purpose for the teaching of the GA. The main contribution consists on the application of the GA to predict the critical points for electrical power consumption in the industrial sector in Medellín city for a period of 24 hours.
Keywords : genetic algorithms; artificial neural networks.