Behavior generation for a mobile robot based on the adaptive fitness function

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Eiji Uchibe and Masakazu Yanase and Minoru Asada",
  title =        "Behavior generation for a mobile robot based on the
                 adaptive fitness function",
  journal =      "Robotics and Autonomous Systems",
  year =         "2002",
  volume =       "40",
  pages =        "69--77",
  number =       "2-3",
  owner =        "wlangdon",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Behaviour
                 acquisition, Adaptive fitness function, Multiple
                 optimization problem, RoboCup",
  DOI =          "doi:10.1016/S0921-8890(02)00232-4",
  abstract =     "We have to prepare the evaluation (fitness) function
                 to evaluate the performance of the robot when we apply
                 the machine learning techniques to the robot
                 application. In many cases, the fitness function is
                 composed of several aspects. Simple implementation to
                 cope with the multiple fitness functions is a weighted
                 summation. This paper presents an adaptive fitness
                 function for the evolutionary computation to obtain the
                 purposive behaviours through changing the weights for
                 the fitness function. As an example task, a basic
                 behavior in a simplified soccer game (shooting a ball
                 into the opponent goal) is selected to show the
                 validity of the adaptive fitness function. Simulation
                 results and real experiments are shown, and a
                 discussion is given.",
  notes =        "See also \cite{Uchibe:2000:IAS}",

Genetic Programming entries for Eiji Uchibe Masakazu Yanase Minoru Asada