- 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 = "
",
