Genetic Algorithm for Wind Farm Layout Optimization


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Documentation for package ‘windfarmGA’ version 1.0

Help Pages

BaroHoehe Calculates Air Density, Air Pressure and Temperature according to the Barometric Height Formula
calculateEn Calculate Energy Outputs of Individuals
crossover1 Crossover Method
euc.dist Euclidian Distance between two Points
fitness Evaluate the Individual Ftness values
genAlgo Start The Genetic Algorithm for a wind Farm Layout
getRects Get the Grid-IDs from binary matrix
GoogleChromePlot Plot the best Results in Google Chrome
GooglePlot Plot the 'best' Results with Google background map
GridFilter Make a grid from a Polygon
heatmapGA Plot heatmap of fit grid cells
InfluPoints Find potentially influencing turbines
mutation Mutation Method
plotbeorwor Plot if previous population was better or worse
plotCloud Plot all outputs of all generations with corresponding standard deviation
plotEvolution Plot the evolution of fitness values
plotfitnessevolution Plot the changes of min/mean/max fitness values
plotparkfitness Plot the genetic algorithm results
plotResult Plot the best Results
PlotWindfarmGA Plot the results of an optimization run
plotWindrose Plot a Windrose
PointToLine2 Distances between right triangle points
readinteger Check Input Crossover Method
readintegerSel Check Input Selection Method
selection1 Selection Method
splitAt Divide matrices or integer at certain locations
StartGA Create a random initial Population
trimton Adjust the amount of turbines per windfarm
VekWinkelCalc Calculate distances and angles of possibly influencing turbines
windfarmGA Controls the given inputs and initiates an Optimization run
WinkelCalc Calculates Angles between 3 Points