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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The open racing car simulator website, http://torcs.sourceforge.net
Wloch, K., Bentley, P.J.: Optimizing the performance of a formula one car using a genetic algorithm. In: Yao, X., Burke, E.K., Lozano, J.A., Smith, J., Merelo-Guervós, J.J., Bullinaria, J.A., Rowe, J.E., Tiňo, P., Kabán, A., Schwefel, H.-P. (eds.) PPSN 2004. LNCS, vol. 3242, pp. 702–711. Springer, Heidelberg (2004)
Cardamone, L., Loiacono, D., Lanzi, P.J.: Evolving competitive car controllers for racing games with neuroevolution. In: GECCO 2009: Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, pp. 1179–1186. ACM, New York (2009)
Deb, K., Saxena, V.: Car suspension design for comfort using genetic algorithms. In: Proceedings of the Seventh International Conference on Genetic Algorithms, pp. 553–560. Thomas Bäck (1997)
Kazancioglu, E., Wu, G., Ko, J., Bohac, S., Filipi, Z., Hu, S.J., Assanis, D., Saitou, K.: Robust optimisation of an Automobile Valvetrain Using a Multiobjective Genetic Algorithm. In: Proceedings of ASME 2003 Design Engineering Technical Conferences, Illinois, Chicago (2003)
Poli, R.: An Analysis of the publications on the applications of particle swarm optimisation. Journal of Artificial Evolution and Applications, 1–10 (2008)
Jswarm-PSO Framework, http://jswarm-pso.sourceforge.net
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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
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