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


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      Views: (2002)   Date: (Publication Date: 2002)   Pages: ()
    • Author:  Walker  M. Messom  C.H. Inst. of Inf. & Math. Sci.  Massey Univ.  Auckland;  

    • Abstract:  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

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