There is more wind with less turbulence offshore compared with an onshore case, which
drives the development of the offshore wind farm worldwide. Since a huge amount of money …

Persistence is an important characteristic of many complex systems in nature, related to how
long the system remains at a certain state before changing to a different one. The study of …

A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

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

A novel hybrid method is proposed for wind farm layout optimization in complex terrain.
Firstly, an elliptical modeling method is presented with the Witoszynski-shaped transition …

Recent years have witnessed an enormous growth of wind farm capacity worldwide. Due to
the wake effect, the velocity of incoming wind is reduced for the wind turbines in the …

A recently developed swarm-based meta-heuristic algorithm namely Grey Wolf Optimization
algorithm (GWO), which is based on the hunting and leadership behaviours of the grey …

Abstract The Multi-Objective Turbine Allocation (MOTA) method is introduced as a novel
approach for wind farm layout optimization and site selection. By incorporating Geographic …

Layout optimization of wind farms constitutes an important and challenging task in complex
terrain. This is especially due to the complex interactions of the boundary layer flows in …

The basic objective of wind farm layout optimization is to maximize the energy produced by
wind farms. However, when wind turbines are arranged in a limited space like an onshore …