With the development of urban and rural infrastructure, the power system is enforced to
operate nearly at its full capacity which result in heavily stressed power grid operation …

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

This paper presents a novel bio-inspired optimization algorithm namely the Barnacles
Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm …

This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer
(GWO) which is inspired from gray wolves' leadership and hunting behaviors to solve …

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 …

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 …

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 …

The optimal reactive power dispatch (ORPD) problem plays an important role in the
reliability and economy of a power system. At present, the methods for solving the ORPD …

This paper presents a newly developed teaching learning based optimization (TLBO)
algorithm to solve multi-objective optimal reactive power dispatch (ORPD) problem by …

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 …