plot_evolution: Plot the evolution of fitness values

In windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

Description

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

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

windfarmGA documentation built on May 5, 2021, 5:08 p.m.