plot_parkfitness: Plot the genetic algorithm results

Description Usage Arguments See Also Examples

View source: R/plots.R

Description

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

Usage

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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

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

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