DocumentCode
1508483
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
Volume
29
Issue
3
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
426
Lastpage
433
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;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/3477.764878
Filename
764878
Link To Document