Enhanced Stochastic Paint Optimizer for Nonlinear Design of Fuzzy Logic Controllers in Steel Building Structures for the Near-Fault Earthquakes

Abstract

Near-fault ground motion effects have been of great importance in recent decades due to the importance of these ground motions in vibration serviceability of structural systems. Fuzzy logic controller as one of the well-known control systems which is formulated based on the human expertise and knowledge is mostly incapable of providing proper control responses for structures under strong ground motions, and therefore the optimization of these controllers is concerned in recent years. In this chapter, optimal design of fuzzy controllers while considering the nonlinear characteristics of the structure is investigated. To fulfill this, an enhanced stochastic paint optimizer is proposed using the Levy flight. The proposed method is utilized for optimization of membership functions and rule base of fuzzy controllers implemented in the considered building structure. The overall performance of the proposed enhanced metaheuristic algorithm is compared with other methods. The obtained results demonstrate the capability of the new method in providing very competitive solutions.