Analysis Of Robustness Of Robot Programs Generated By Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  title =        "Analysis Of Robustness Of Robot Programs Generated By
                 Genetic Programming",
  author =       "Roongroj Nopsuwanchai and Prabhas Chongstitvatana",
  booktitle =    "First Asian Sympoium on Industrial Automation and
                 Robotics BITEC",
  year =         "1999",
  address =      "Bangkok, Thailand",
  month =        "6-7 " # may,
  keywords =     "genetic algorithms, genetic programming",
  citeseer-isreferencedby = "oai:CiteSeerPSU:81384",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:511796",
  rights =       "unrestricted",
  URL =          "",
  URL =          "",
  size =         "5 pages",
  abstract =     "The robot programs generated by Genetic Programming
                 (GP) are found to be 'brittle', i.e. they fail to work
                 when the environment is changed. Perturbation has been
                 used to improve robustness. By introducing perturbation
                 during the evolution of robot programs, the robustness
                 of robot programs can be improved. This paper analyses
                 the cause of the difference of robustness between robot
                 programs using the case of robot navigation problems.
                 The analysis is based on the notion of 'trace' of
                 execution. The result of the analysis shows that the
                 robustness of robot programs depends on the reuse of
                 the 'experience' that a robot program acquired during
                 evolution. To improve robustness, the size of the set
                 of 'experience' should be increased and/or the amount
                 of reusing the 'experience' should be increased.",

Genetic Programming entries for Roongroj Nopsuwanchai Prabhas Chongstitvatana