This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to
the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback …

This paper suggests five new contributions with respect to the state-of-the-art. First, the
optimal tuning of cost-effective fuzzy controllers represented by Takagi–Sugeno–Kang …

This paper suggests the use of Grey Wolf Optimizer (GWO) algorithms to tune the
parameters of Takagi-Sugeno proportional-integral-fuzzy controllers (PI-FCs) for a class of …

This paper presents a novel adaptive Gravitational Search Algorithm (GSA) for the optimal
tuning of fuzzy controlled servo systems characterized by second-order models with an …

This paper discusses the design of fuzzy control systems (FCSs) with a reduced parametric
sensitivity using simulated-annealing (SA) algorithms. Four generic families of objective …

This article presents a hybrid metaheuristic optimization algorithm that combines particle
filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm …

A method for designing optimal interval type-2 fuzzy logic controllers using evolutionary
algorithms is presented in this paper. Interval type-2 fuzzy controllers can outperform …

This article describes the application of a variant of the shark smell optimization (VSSO)
biological inspired algorithm in the optimal design of a type-2 fuzzy controller. We show how …

This paper proposes an innovative tuning approach for fuzzy control systems (CSs) with a
reduced parametric sensitivity using the Grey Wolf Optimizer (GWO) algorithm. The CSs …

A review of the methods used in the design of interval type-2 fuzzy controllers has been
considered in this work. The fundamental focus of the work is based on the basic reasons for …