D. Vra jitoru, P. Konnanur, and R. Mehler
Genetic algorithms, multi-agents, autonomous pilot
In this paper we present an application of genetic algorithms to an autonomous pilot designed for motorized single-track vehicles (motorcycles). The pilot is implemented as a multi-agent application using a physical model of the motorcycle and is embedded in an interactive application. We compare the performance of the configuration obtained by genetic algorithms with the manual configuration of the pilot and with the performance of human players. The main contribution of the paper is proposing a model for piloting a single-track vehicle based only on perceptual information such as it would be observed by a human in the case of a real vehicle, and showing how the genetic algorithms can contribute efficiently to configuring the autonomous pilot.
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