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 …

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 …

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 …

High turbulence intensity induced by the wake effect in wind farms is of great significance to
the fatigue life of wind turbines. However, previous wind farm layout optimization (WFLO) …

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 …

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

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 …

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 …

This paper presents a differential evolution algorithm with a new encoding mechanism for
efficiently solving the optimal layout of the wind farm, with the aim of maximizing the power …

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 …