A Comparison of Genetic Programming and Genetic Algorithms for Auto-tuning Mobile Robot Motion Control

@inproceedings{Walker2002ACO,
  title={A Comparison of Genetic Programming and Genetic Algorithms for Auto-tuning Mobile Robot Motion Control},
  author={Matthew J. P. Walker and Christopher H. Messom},
  booktitle={DELTA},
  year={2002}
}
This paper discusses the use of genetic programming (GP) and genetic algorithms (GA) to evolve solutions to a problem in robot control. GP is seen as an intuitive evolutionary method while GAs require an extra layer of human intervention. The infrastructures for the different evolutionary approaches are compared. 

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