Particle swarm optimisation (PSO) is a well-established optimisation algorithm inspired from
flocking behaviour of birds. The big problem in PSO is that it suffers from premature …

In the last years, the application of standard optimization algorithms, presented results
typically inefficient in the solution of some problems, especially in non-linear (NP-hard) …

This article proposes an improved pseudo-gradient search-particle swarm optimization (IPG-
PSO) approach for solving the optimal reactive power dispatch (ORPD) problem. This ORPD …

This paper proposes an improved salp swarm algorithm (ISSA) as an effective metaheuristic
method for tackling global optimization issues and damping power system oscillations. In the …

A novel hybrid approach involving Particle Swarm Optimization (PSO) and Bacterial
Foraging Optimization Algorithm (BFOA) called Bacterial Swarm Optimization (BSO) is …

Capacitor placement plays an important role in distribution system planning and operation.
In distribution systems of electrical energy, banks of capacitors are widely installed to …

This work discusses the production of a novel hybrid algorithm by combining the gorilla
troops optimizer (GTO) with the gradient-based optimizers (GBO) approach. The novel …

This paper presents a new algorithm for simultaneous tuning of the optimal parameters of
Automatic Voltage Regulator (AVR) and the Power System Stabilizer (PSS) using a new …

Genetic Algorithms (GAs) are the most popular used methods of the evolutionary algorithm
family. GA effectiveness highly depends on the choice of the search space range for each …

This paper proposes an efficient optimization algorithm named chaotic teaching–learning
algorithm (CTLA), to solve multimachine power system stabilizers design problem. The …