Genetic Programming of Fuzzy Coordination Behaviors for Mobile Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Edward Tunstel and Tanya Lippincott",
  title =        "Genetic Programming of Fuzzy Coordination Behaviors
                 for Mobile Robots",
  booktitle =    "International Symposium on Soft Computing for
                 Industry, 2nd World Automation Congress",
  year =         "1996",
  pages =        "647--652",
  address =      "Montpellier, France",
  month =        may,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "6 pages",
  abstract =     "Intelligent robot navigation can be achieved using a
                 control system comprised of a collection of
                 special-purpose motion routines, or behaviors. An
                 approach to behavior coordination in multi-behavior
                 systems is described with emphasis on evolution of
                 fuzzy coordination rules using the genetic programming
                 (GP) paradigm. Both conventional GP and steady-state GP
                 are applied to evolve a fuzzy-behavior for sensor-based
                 goal-seeking to be used in a hierarchical fuzzy
                 navigation controller. The usefulness of GP is
                 demonstrated by simulating performance of evolved
                 coordination rules for autonomous navigation.",
  notes =        "


Genetic Programming entries for Edward W Tunstel Tanya Lippincott