Crandore Hub

windfarmGA

Genetic Algorithm for Wind Farm Layout Optimization

The genetic algorithm is designed to optimize wind farms of any shape. Each layout is encoded as n unique grid-cell identifiers. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Versions across snapshots

VersionRepositoryFileSize
5.0.0 rolling linux/jammy R-4.5 windfarmGA_5.0.0.tar.gz 1.7 MiB
5.0.0 rolling linux/noble R-4.5 windfarmGA_5.0.0.tar.gz 1.7 MiB
5.0.0 rolling source/ R- windfarmGA_5.0.0.tar.gz 2.7 MiB
5.0.0 latest linux/jammy R-4.5 windfarmGA_5.0.0.tar.gz 1.7 MiB
5.0.0 latest linux/noble R-4.5 windfarmGA_5.0.0.tar.gz 1.7 MiB
5.0.0 latest source/ R- windfarmGA_5.0.0.tar.gz 2.7 MiB
5.0.0 2026-04-23 source/ R- windfarmGA_5.0.0.tar.gz 0 B
4.0.0 2025-04-20 source/ R- windfarmGA_4.0.0.tar.gz 3.1 MiB

Dependencies (latest)

Imports

LinkingTo

Suggests