Genetic algorithms with variable mutation rates: Application to fuzzy logic controller design
Duc Truong Pham, Derviş Karaboğa · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · 1997
Three variable mutation rate strategies for improving the performance of genetic algorithms (GAs) are described. The problem of optimizing fuzzy logic controllers is used to evaluate a GA adopting these strategies against a GA employing a static mutation regime. Simulation results for a second-order time-delayed system controlled by fuzzy logic controllers (FLCs) obtained using the different GAs are presented.