Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

This paper provides an application of the hybrid Grey Wolf Optimization and Particle Swarm
Optimization (GWO-PSO) method to reach a solution to the optimal reactive power dispatch …

Optimal reactive power dispatch (ORPD) is a particular case of the optimal power flow.
ORPD was usually considered as the minimization of an objective function representing the …

This paper presents the use of a recent developed algorithm inspired by the hunting
mechanism of antlions in nature, called ant lion optimizer (ALO) algorithm for solving optimal …

In this paper, a newly surfaced nature-inspired optimization technique called moth-flame
optimization (MFO) algorithm is utilized to address the optimal reactive power dispatch …

In this paper, the chaotic bat algorithm (CBA) is applied to solve the optimal reactive power
dispatch (ORPD) problem taking into account small-scale, medium-scale and large-scale …

In recent years, the integration of renewable generation into micro-grid has been growing.
Therefore, it is essential to optimize the power generation from multiple sources with minimal …

Optimal reactive power dispatch (ORPD) problem is an important problem in the operation of
power systems. It is a nonlinear and mixed integer programming problem, which determines …

Water cycle algorithm (WCA) is one of the efficient metaheuristic optimization algorithms
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …