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Algoritmos Geneticos

Los algoritmos genéticos proveen un método de aprendizaje simulando un proceso evolutivo que es sometido a cruces y  a la mutación de los individuos en este caso los tiempos de ciclo (R y V) de los semáforos

además de una selección de los individuos que mejor se adaptan al sistema de tráfico, se toman los dos mejores tiempos adaptados de un semáforo y son cruzados este tiempo resultante del cruce a su vez es mutado, luego es actualizado en el sistema de semaforización y posteriormente es pasado por la función de adaptación para determinar si se adapta positivamente en el sistema.  Como se puede observar en la figura 3. Los métodos de selección y adaptación para cada tiempo de ciclo aplicado en un semáforo determinan si continúa en el algoritmo y es cruzado o es desechado.

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