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Car Setup Optimisation

  • Conference paper
Simulated Evolution and Learning (SEAL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6457))

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Abstract

Computational intelligence competitions have recently gained a lot of interest. These contests motivate and encourage researchers to participate on them. Computer games are interesting test beds for research in artificial intelligence that motivate researchers to apply their work areas to specific games. In this paper a structural parameter set of a car agent is optimised using particle swarm optimisation and evolution strategies. The change was for were to the TORCS competition held during the Car Setup Optimization Competition EvoStar 2010.

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References

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© 2010 Springer-Verlag Berlin Heidelberg

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Martínez, M., Recio, G., García, P., Martín, E., Saez, Y. (2010). Car Setup Optimisation. In: Deb, K., et al. Simulated Evolution and Learning. SEAL 2010. Lecture Notes in Computer Science, vol 6457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17298-4_42

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  • DOI: https://doi.org/10.1007/978-3-642-17298-4_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17297-7

  • Online ISBN: 978-3-642-17298-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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