Ilya A. Hodashinsky, Alexander E. Anfilofiev, Marina B. Bardamova, Vitaly S. Kovalev, Maksim A. Mekh, Olga K. Sonich

Tomsk State University of Control Systems and Radioelectronics

Metaheuristics are widely recognized as efficient approaches for hard optimization problems. This paper addresses the application of metaheuristics for optimizing parameters of fuzzy classifiers. Several numerical experiments on well-known benchmark data sets are carried out to illustrate the effectiveness of the proposed metaheuristics

fuzzy classifiers, parameters optimization, metaheuristics