Paper Info
Title
A Comparison of Genetic Programming and Genetic Algorithms for Auto-tuning Mobile Robot Motion Control
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 diffierent evolutionary approaches are compared.
Year
DOI
Venue
2002
10.1109/DELTA.2002.994686
Christchurch
Keywords
Field
DocType
auto-tuning mobile robot motion,genetic algorithms,genetic programming,diffierent evolutionary approach,robot control,genetic algorithm,intuitive evolutionary method,extra layer,human intervention,mobile robot,mobile robots,robot kinematics,path planning,motion control,tuning
Motion planning,Robot control,Motion control,Computer science,Genetic programming,Control engineering,Mobile robot navigation,Auto tuning,Genetic algorithm,Mobile robot
Conference
ISBN
Citations 
PageRank 
0-7695-1453-7
2
0.47
References 
Authors
2
2
Name
Order
Citations
PageRank
Walker, M.120.81
C. H. Messom2356.04