A Review on Enhanced Evolutionary Algorithms Based on Extensions of Fuzzy Logic Systems

Abstract

been the utilization of fuzzy logic (FL) for enhancing the performance of the corresponding algorithms. Initially, only the basic type-1 was used, but more recently type-2 and type-3 have also been used for improving even more the results of the algorithms. The main idea is that, in general, FL canhelp in handling the inherent uncertainty in solving the optimization problems, in this way providing more flexible solutions. For example, when metaheuristics are used for designing optimal fuzzy controllers, if the algorithm sare used for parameter adaptation, then the designed controllers are found faster and also the fuzzy controller sare more tolerant to external noise (more robust). In this review, a study of the different types of fuzzy logic that have been used for enhancing metaheuristics will be presented, and also considering the different applicationareas involved, so that the reader can benefit from this study.