Genetic Algorithm for Wind Farm Layout Optimization R package windfarmGA version 5.0.0 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. Software Depends: R (>= 4.1.0) Imports: Rcpp, terra, sf, RColorBrewer, calibrate, grDevices, graphics, magrittr, methods, stats, utils LinkingTo: Rcpp Suggests: testthat (>= 3.0.0), foreach, parallel, doParallel, progress, stars, raster, leaflet, elevatr (>= 0.99.0), ggplot2, plotly, shiny, gstat, rworldmap Sebastian Gatscha <sebastian_gatscha@gmx.at> Comprehensive R Archive Network (CRAN) Sebastian Gatscha [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=windfarmGA/LICENSE) 2026-09-14 application/tgz https://CRAN.R-project.org/package=windfarmGA doi:10.32614/CRAN.package.windfarmGA