Fractional Fuzzy Controller Using Metaheuristic Techniques

This chapter presents an optimization algorithm for the optimal calibration of fractional fuzzy controllers. The proposed method uses a evolutionary algorithm inspired on the collaborative behavior of social-spiders in order to obtain the best parameters. Under the Social Spider Optimization algorithm (SSO), each the candidate solutions represent a set of spiders, which cooperate to each other following the natural laws of a cooperative colony. In difference of most of the existing algorithms in the literature, the SSO approach explicitly avoids the concentration of individuals in the best positions, leading it to solve critical problems such as premature convergence ratio and a limited balance between exploration and exploitation. The experimental results prove the effectiveness of the proposed approach.