windfarmGA (version 2.2.3)

plot_parkfitness: Plot the genetic algorithm results

Description

Plot the evolution of fitness values with the influences of selection, crossover and mutation.

Usage

plot_parkfitness(result, spar = 0.1)

Arguments

result

The output of windfarmGA or genetic_algorithm

spar

A numeric value determining how exact a spline should be drawn. Default is 0.1

See Also

Other Plotting Functions: interpol_view, plot_cloud, plot_development, plot_evolution, plot_fitness_evolution, plot_heatmap, plot_result, plot_viewshed, plot_windfarmGA, plot_windrose, random_search_single

Examples

# NOT RUN {
## Add some data examples from the package
load(file = system.file('extdata/resulthex.rda', package = 'windfarmGA'))

## Plot the results of a hexagonal grid optimization
plot_parkfitness(resulthex)
# }