GA-fuzzy modeling and classification: complexity and performance
GA-fuzzy modeling and classification: complexity and performance
The use of genetic algorithms (GAs) and other evolutionary optimization methods to design fuzzy rules for systems modeling and data classification have received much attention in recent literature. Authors have focused on various aspects of these randomized techniques, and a whole scale of algorithms have been proposed. We comment on …