| Literature DB >> 18252316 |
R J Streifel1, R J Marks, R Reed, J J Choi, M Healy.
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.Entities:
Year: 1999 PMID： 18252316 DOI： 10.1109/3477.764878
Source DB: PubMed Journal: IEEE Trans Syst Man Cybern B Cybern ISSN： 1083-4419