plot_evolution: Plot the evolution of fitness values

In windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

Plot the evolution of fitness values

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 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

Value

Returns NULL. Used for plotting

See Also

Other Plotting Functions: plot_cloud(), plot_development(), plot_fitness_evolution(), plot_parkfitness(), plot_result(), 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 April 4, 2025, 3:39 a.m.