Genetic programming of full knowledge bases for fuzzy logic controllers
Daryl Battle, Abdollah Homaifar, Edward W. Tunstel, Gerry Vernon Dozier · 1999
Genetic programming (GP) is applied to automatic discovery of full knowledge bases for use in fuzzy logic control applications. An extension to a rule learning GP system is presented that achieves this objective. In addition, GP is employed to handle selection of fuzzy set intersection operators (t-norms). The new GP system is applied to design a mobile robot path tracking controller and performance is shown to be comparable to that of a manually designed controller.