Title :
Dynamic fuzzy control of genetic algorithm parameter coding
Author :
Streifel, Robert J. ; Marks, R.J. ; Reed, Russell ; Choi, Jai J. ; Healy, Michael
Author_Institution :
Washington Univ., Seattle, WA, USA
fDate :
6/1/1999 12:00:00 AM
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
Keywords :
fuzzy control; genetic algorithms; parameter estimation; fuzzy GAP coding; fuzzy control; fuzzy rules; genetic algorithm; genetic algorithms; hydraulic brake emulator; parameter coding; parameter identification; rate of convergence; Clustering algorithms; Code standards; Convergence; Dynamic range; Encoding; Fuzzy control; Genetic algorithms; Multi-layer neural network; Neural networks; Parameter estimation;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.764878
