The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

This paper proposes a new, metaheuristic optimization technique, Artificial Gorilla Troops
Optimization (GTO), for a hybrid power system with photovoltaic (PV) and wind energy (WE) …

In this study, the Giant Trevally Optimizer (GTO) is employed to solve the probabilistic
optimum power flow (P-OPF) issue, considering Renewable Energy Source (RES) …

This paper proposes a modified honey badger algorithm (MHBA) for solving the optimal
power flow (OPF) problem. This problem is a highly non-linear, non-convex and complex …

The optimal operation of modern power systems aims at achieving the increased power
demand requirements regarding economic and technical aspects. Another concern is …

The global increase in energy demand has led to a growing focus on renewable energy
sources as a potential solution. This study examines the annual total cost of optimized off …

Owing to rapid industrialisation, the need for electrical energy to fulfil the system load
demand at the consumer end has increased exponentially. Optimal Power Flow (OPF) …

Over the recent decades, the optimal power flow (OPF) problem has been favored by many
scholars. In this paper, a multi-objective self-learning JAYA algorithm (MOSLJAYA) is put …

The optimal power flow (OPF) problems for effective power system planning and operations
are solved using a hybrid Improved Harris Hawks Optimization and Pattern Search …