On Genetic Programming of Fuzzy Rule-Based Systems for Intelligent Control

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

  author =       "Edward Tunstel and Mo Jamshidi",
  title =        "On Genetic Programming of Fuzzy Rule-Based Systems for
                 Intelligent Control",
  journal =      "International Journal of Intelligent Automation and
                 Soft Computing",
  year =         "1996",
  volume =       "2",
  number =       "3",
  pages =        "273--284",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www-robotics.jpl.nasa.gov/people/Edward_Tunstel/GP_Fuzzy96.ps",
  URL =          "http://citeseer.ist.psu.edu/77465.html",
  size =         "15 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 Mohammad Jamshidi