A comparison of genetic programming and genetic algorithms for auto-tuning mobile robot motion control

@article{Walker2002ACO,
  title={A comparison of genetic programming and genetic algorithms for auto-tuning mobile robot motion control},
  author={M. Walker and C. Messom},
  journal={Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002},
  year={2002},
  pages={507-509}
}
  • M. Walker, C. Messom
  • Published 2002
  • Computer Science
  • Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '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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