Genetic Algorithm applied to Traffic Control Problems

Jamil Kalil Naufal Jr., João Batista Camargo Jr.


There are a great number of high complexity of real systems where the application of advanced computational techniques is necessary in order to obtain good results within the available period of time. The complexity of such systems refers not only to the difficulty to identify all its constituent parts but also due to excessive computational efforts needed to reach a good response for them. This work presents a proposal for implementing the Artificial Intelligence technique called Genetic Algorithm, aiming to resolve a high complexity of real system, which is associated with the unbalance between the capacity and demand in the air transportation system.


Genetic Algorithms; Artificial Intelligence; High Complexity Problems; Unbalance Between Capacity and Demand; Air Transportation System

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Revista de Informática Aplicada - USCS/UFABC