OTHER
A comparison of genetic programming and genetic algorithms for auto-tuning mobile robot motion control
Matthew G. Walker, Chris Messom
- Year
- 2003
- Citations
- 11
Abstract
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.
Keywords
Genetic programmingGenetic representationComputer scienceGenetic algorithmMobile robotQuality control and genetic algorithmsEvolutionary programmingControl (management)Motion controlArtificial intelligence
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