Plot the evolution of fitness values — plot_evolution • windfarmGA

Plot the evolution of energy outputs and efficiency rates over the whole generations. Plots min, mean and max values.

Usage

plot_evolution(result, ask = TRUE, spar = 0.1)

Arguments

result: The output of windfarmGA or genetic_algorithm
ask: Should R wait for interaction for subsequent plotting. Default is TRUE
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_fitness_evolution(), plot_heatmap(), plot_parkfitness(), plot_result(), plot_viewshed(), plot_windfarmGA(), plot_windrose(), random_search_single()

Examples

# \donttest{
## Plot the results of a rectangular grid optimization
plot_evolution(resultrect, ask = TRUE, spar = 0.1)


#> NULL
# }