Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …

Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …

The novelty of this article lies in introducing a novel stochastic technique named the
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …

Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

This work bridges two research fields ie metaheuristics and wind farm layout design.
Comparative performance of twelve metaheuristics (MHs) on wind farm layout optimisation …

In this paper, an analytical framework is developed using fuzzy logic to evaluate optimal
sites for wind, solar and hybrid wind-solar farms; using criterial components for energy …

The arrangement of wind turbines in clusters presents two noteworthy issues:(1) diminished
power generation brought about by wake wind speed deficits and (2) expanded unique …

In this paper, optimum design of engineering problems is considered by means of the
Atomic Orbital Search (AOS), a recently proposed metaheuristic optimization algorithm. The …

The Savonius wind turbine cluster installation significantly impacts its power output in real
wind fields. This study aims to investigate the effect of wind conditions on the power output of …

Higher annual energy production can be obtained by joint optimization which considers
active yaw control in the layout design stage. Although accurate representation of a non …