Genetic Algorithms for Auto-tuning Mobile Robot Motion Control
نویسنده
چکیده
This paper discusses a genetic algorithm (GA) based method for automatically tuning mobile robot motion controllers. The genetic algorithm evolves a controller that is optimised for a given performance measure. Genetic algorithms require a mapping from the genetic code to an implementation. This translation between the chromosome and the implementation allows the use of standard GA libraries, however the assumption constrains the types of problems that can be solved.
منابع مشابه
A Comparison of Genetic Programming and Genetic Algorithms for Auto-tuning Mobile Robot Motion Control
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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