Evolving look ahead controllers for energy optimal driving and path planning

摘要: An evolved neural network controller is presented to solve the optimal control problem for energy driving. A produced which computes equivalent commands traditional graph searching approaches, while able adapt varied constraints and conditions. Furthermore, after training, trivial amounts of computation time memory are required, making approach applicable embedded systems path planning applications.