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Evolving the optimal racing line in a high-end racing game
2012
2012 IEEE Conference on Computational Intelligence and Games (CIG)
Finding a racing line that allows to achieve a competitive lap-time is a key problem in real-world car racing as well as in the development of non-player characters for a commercial racing game. Unfortunately, solving this problem generally requires a domain expert and a trial-and-error process. In this work, we show how evolutionary computation can be successfully applied to solve this task in a high-end racing game. To this purpose, we introduce a novel encoding for the racing lines based on
doi:10.1109/cig.2012.6374145
dblp:conf/cig/BottaGLL12
fatcat:rt7ak2flifcx7cvljg3uzewawu