windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

The genetic algorithm is designed to optimize small wind farms with irregular shapes. The algorithm works with a fixed amount of turbines, a fixed rotor radius and a mean wind speed value for every incoming wind direction. If required, it can include a terrain effect model which downloads an 'SRTM' elevation model automatically and loads a Corine Land Cover raster, which has to be downloaded previously. Further information can be found in the description of the function 'windfarmGA'. To start an optimization run, either the function 'windfarmGA' or 'genAlgo' can be used. The function 'windfarmGA' checks the user inputs interactively and then runs the function 'genAlgo'. If the input parameters are already known, an optimization can be run directly via the function 'genAlgo'. Their output is identical.

Version: 1.2
Depends: R (≥ 3.2.3)
Imports: rgdal (≥ 1.0-4), raster (≥ 2.5-2), sp (≥ 1.2-2), dplyr (≥ 0.5.0), data.table (≥ 1.9.6), gtools (≥ 3.5.0), maptools (≥ 0.8-36), calibrate (≥ 1.7.2), geoR (≥ 1.7-5.1), gstat (≥ 1.0-26), ggplot2 (≥ 2.2.0), RColorBrewer (≥ 1.1-2), rgeos (≥ 0.3-11), RgoogleMaps (≥, googleVis (≥ 0.5.9), foreach (≥ 1.4.3), parallel (≥ 3.4.3), doParallel (≥ 1.0.11), rgl (≥ 0.96.0), leaflet (≥ 1.1.0), methods (≥ 3.2.5), spatstat (≥ 1.42-2), RandomFields (≥ 3.1.50), magrittr (≥ 1.5), grDevices, graphics, stats, utils
Published: 2018-03-11
Author: Sebastian Gatscha
Maintainer: Sebastian Gatscha <sebastian_gatscha at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: windfarmGA results


Reference manual: windfarmGA.pdf
Package source: windfarmGA_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: windfarmGA_1.2.tgz
OS X Mavericks binaries: r-oldrel: windfarmGA_1.1.1.tgz
Old sources: windfarmGA archive


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