Recently, meta-heuristic algorithms have made remarkable progress in solving types of
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …

This paper presents a new metaheuristic algorithm by enhancing one of the recently
proposed optimizers named Aquila optimizer (AO). The enhanced AO (enAO) algorithm is …

This article presents a novel fractional order proportional–integral–derivative (FOPID)
controller with fractional filter for an automatic voltage regulator (AVR) system. The proposed …

This paper discusses the merging of two optimization algorithms, atom search optimization
and particle swarm optimization, to create a hybrid algorithm called hybrid atom search …

This paper presents a hybrid metaheuristic method for optimal tuning of four different types
of proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) …

The need for better-performing algorithms to solve real-world power systems engineering
problems has always been a challenging topic. Due to their stochastic nature, metaheuristic …

This paper proposes a novel tuning design of proportional integral derivative (PID) controller
via an improved kidney-inspired algorithm (IKA) with a new objective function. The main …

This paper proposes Henry gas solubility optimization with opposition-based learning
(OBL/HGO) as a novel optimization approach for DC motor speed regulation. The proposed …

Abstract Automatic Voltage Regulator (AVR) is fabricated to sustain the voltage level of a
synchronous generator spontaneously. Several control strategies have been introduced into …

This paper deals with the performance analysis of a recently proposed metaheuristic
algorithm known as the slime mould algorithm (SMA). This algorithm has been proved to be …