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

The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …

Floods are one of the most destructive natural disasters, causing financial and human losses
every year. As a result, reliable Flood Susceptibility Map** (FSM) is required for effective …

The optimal power flow (OPF) is a vital tool for optimizing the control parameters of a power
system by considering the desired objective functions subject to system constraints …

Solving the optimal power flow problems (OPF) is an important step in optimally dispatching
the generation with the considered objective functions. A single-objective function is …

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 …

Multi-objective structure optimization is a complex design issue that involves dealing with
multiple conflicting objectives and various constraints. Although metaheuristics have been …

This study presents a nature-inspired, and metaheuristic-based Marine predator algorithm
(MPA) for solving the optimal power flow (OPF) problem. The significant insight of MPA is the …

This paper presents load forecasting and optimal sizing for minimizing the Annualized Cost
of the System (ACS) of a stand-alone photovoltaic (PV)/wind/battery hybrid renewable …

The OPF problem has significant importance in a power system's operation, planning,
economic scheduling, and security. Today's electricity grid is rapidly evolving, with increased …