Big cities no longer behave much more demand for vehicles on the roads. In order to reduce congestion and allow greater fluidity in the process equipped with traffic lights, we modeled the problem of traffic times optimization, so you can apply the programming methods with genetic algorithms in search of the optimal solution. As a theoretical framework , we present the main control methods for existing traffic lights as well as the characteristics of a genetic algorithm . We use simulation software called SUMO (Simulation of Urban Mobility) to represent a vehicular traffic and apply a genetic algorithm in order to find the optimal timing. Hence , we present the results of the implementation of the proposed algorithm and the results of experiments conducted in the simulation environment . Keywords: Intelligent traffic lights, SUMO, Genetic Algorithms.