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

Optimal power flow (OPF), a mathematical programming problem extending power flow
relationships, is one of the essential tools in the operation and control of power grids. To …

This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …

Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …

In this paper, gravitational search algorithm (GSA) is proposed to find the optimal solution for
optimal power flow (OPF) problem in a power system. The proposed approach is applied to …

The paper proposes a novel improved social spider optimization algorithm (NISSO) for
solving optimal power flow (OPF) problem to independently optimize electricity generation …

Optimal power flow (OPF) is one of the most important tools in power system operation and
control, which determines the minimum operating cost and retains the control variables in …

This paper presents a new and efficient method for solving optimal power flow (OPF)
problem in electric power systems. In the proposed approach, artificial bee colony (ABC) …

Salp swarm algorithm (SSA) is a recent optimization technique inspired by behavior of the
salp chains in deep oceans. However, the SSA is efficient, simple and easy to implement, it …

In this paper a new nature-inspired metaheuristic algorithm is proposed to solve the optimal
power flow problem in a power system. This algorithm is inspired by the black hole …