Title :
A comparison of genetic programming and genetic algorithms for auto-tuning mobile robot motion control
Author :
Walker, M. ; Messom, C.H.
Author_Institution :
Inst. of Inf. & Math. Sci., Massey Univ., Auckland, New Zealand
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 algorithms; mobile robots; motion control; path planning; tuning; auto-tuning; genetic algorithms; genetic programming; human intervention; intuitive evolutionary method; mobile robot; robot motion control; Genetic algorithms; Genetic programming; Humans; Mobile robots; Motion control; Path planning; Robot control; Robot kinematics; Robot programming; Wheels;
Conference_Titel :
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Conference_Location :
Christchurch
Print_ISBN :
0-7695-1453-7
DOI :
10.1109/DELTA.2002.994686
