On Genetic Programming of Fuzzy Rule-Based Systems for Intelligent Control
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{ETasoft96,
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author = "Edward Tunstel and Mo Jamshidi",
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title = "On Genetic Programming of Fuzzy Rule-Based Systems for
Intelligent Control",
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journal = "International Journal of Intelligent Automation and
Soft Computing",
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year = "1996",
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volume = "2",
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number = "3",
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pages = "273--284",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www-robotics.jpl.nasa.gov/people/Edward_Tunstel/GP_Fuzzy96.ps",
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URL = "http://citeseer.ist.psu.edu/77465.html",
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size = "15 pages",
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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.",
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notes = "
",
- }
Genetic Programming entries for
Edward W Tunstel
Mohammad Jamshidi
Citations