In this study, a new meta-heuristic optimization method inspired by the behavioral choices of
animals and hunger-driven activities, called hunger games search (HGS), is suggested to …

Optimal power flow (OPF) represents one of the most important issues in the electrical power
system for energy management, planning, and operation via finding optimal control …

The purpose of this article is to present a new improvement of the differential evolution
algorithm for solving the Optimal Power Flow (OPF) problem with multiple and competing …

For a utility company to reduce emissions along with managing load demands, it must strive
for a 100 percent renewable electrical power generation. Europe takes initiatives to achieve …

This article presents a new efficient optimization technique namely the Multi-Objective
Improved Differential Evolution Algorithm (MOIDEA) to solve the multiobjective optimal …

This article develops two metaheuristics optimization techniques, Grey Wolf Optimizer
(GWO) and Harris Hawks Optimization (HHO), to handle multi-objective optimal power flow …

This article introduces one of the recent meta-heuristic algorithms nature-inspired called
Harris Hawks Optimization (HHO) to solve optimal power flow (OPF) problem in power …

This paper deals with solving optimal power flow problems using one of the new meta-
heuristic optimizations inspired by the behavior of grey wolves (Canis lupus). Optimal power …

In power system, the optimal power flow (OPF) is one of the main significant issues that
should be solved to achieve the optimal operation, planning, and energy management …

The smart grid is much automated from which it can be integrated the main supply with
distributed generation (DG) sources (mostly renewable), the energy storage systems (ESSs) …