Dynamic fuzzy control of genetic algorithm parameter coding

Authors:
R. J. Streifel;R. J. Marks, II;R. Reed;J. J. Choi;M. Healy
Affiliations:
Washington Univ., Seattle, WA;-;-;-;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
1999

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Abstract

An algorithm for adaptively controlling genetic algorithm parameter (GAP) coding using fuzzy rules is presented. The fuzzy GAP coding algorithm is compared to the dynamic parameter encoding scheme proposed by Schraudolph and Belew. The performance of the algorithm on a hydraulic brake emulator parameter identification problem is investigated. Fuzzy GAP coding control is shown to dramatically increase the rate of convergence and accuracy of genetic algorithms