Plot the genetic algorithm results — plot_parkfitness • windfarmGA

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

# \donttest{
## Plot the results of a hexagonal grid optimization
plot_parkfitness(resulthex)






#> NULL
# }