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

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2 Author(s)
Walker, M. ; Inst. of Inf. & Math. Sci., Massey Univ., Auckland, New Zealand ; Messom, C.H.

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

Published in:

Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on

Date of Conference: