Car setup optimization via evolutionary algorithms

  • Authors:
  • Carlos Cotta;Antonio J. Fernández-Leiva;Alberto Fuentes Sánchez;Raúl Lara-Cabrera

  • Affiliations:
  • Dept. Lenguajes y Ciencias de la Computación, ETSI Informática, University of Málaga, Málaga, Spain;Dept. Lenguajes y Ciencias de la Computación, ETSI Informática, University of Málaga, Málaga, Spain;Dept. Lenguajes y Ciencias de la Computación, ETSI Informática, University of Málaga, Málaga, Spain;Dept. Lenguajes y Ciencias de la Computación, ETSI Informática, University of Málaga, Málaga, Spain

  • Venue:
  • IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
  • Year:
  • 2013

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Abstract

Car racing is a successful genre of videogames, as proved, for example, by the racing simulator saga, Gran Turismo. In this genre of games, players not only race but they are also involved in the process of setting up the car, assuming the role of a technician/mechanic/engineer. Generally, this configuration deals with a large set of parameters that range from the amount of fuel loaded into the car to the tire pressure and type. This article compares different proposals for optimizing this process using evolutionary computation techniques to make several suggestions for a simulated international competition for car racing setup optimization.