A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization

A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization

The wind farm layout optimization problem (WFLOP) aims to maximize wind energy utilization efficiency and mitigate energy losses caused by wake effects by optimizing the spatial layout of wind turbines. Although Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) have been widely used in...

Full description

Saved in:
Bibliographic Details
Main Authors: Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
sustainable energy
wind farm layout optimization
differential evolution
genetic learning competitive elimination strategy
genetic algorithm
particle swarm optimization
Online Access:https://www.mdpi.com/2227-7390/13/2/282
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7390/13/2/282

Similar Items