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.
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Cotta, C., Fernández-Leiva, A.J., Sánchez, A.F., Lara-Cabrera, R. (2013). Car Setup Optimization via Evolutionary Algorithms. In: Rojas, I., Joya, G., Cabestany, J. (eds) Advances in Computational Intelligence. IWANN 2013. Lecture Notes in Computer Science, vol 7903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38682-4_37
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DOI: https://doi.org/10.1007/978-3-642-38682-4_37
Publisher Name: Springer, Berlin, Heidelberg
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