Genetic Algorithm applied to Traffic Control Problems

Autores/as

  • Jamil Kalil Naufal Jr. USP-SP
  • João Batista Camargo Jr. USP-SP

DOI:

https://doi.org/10.13037/ria.vol4n2.313

Palabras clave:

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

Resumen

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.

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Biografía del autor/a

Jamil Kalil Naufal Jr., USP-SP

Grupo de Análise de Segurança Departamento de Engenharia de Computação e Sistemas Digitais Escola Politécnica da Universidade de São Paulo

João Batista Camargo Jr., USP-SP

Grupo de Análise de Segurança Departamento de Engenharia de Computação e Sistemas Digitais Escola Politécnica da Universidade de São Paulo

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