plot_cloud: Per-generation fitness / efficiency / energy

In windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

Per-generation fitness / efficiency / energy

Description

Summarise every evaluated individual. With pl = TRUE draw three panels of points (max as a line). The returned table has min / mean / max / sd per generation.

Usage

plot_cloud(result, pl = FALSE)

Arguments

result	The output of genetic_algorithm
pl	Draw the three panels? Default is FALSE

Value

A data.frame with fitness, efficiency and energy summaries

See Also

Other Plotting Functions: generation_layouts(), plot_cell_heatmap(), plot_development(), plot_evolution(), plot_generation(), plot_parkfitness(), plot_population(), plot_result(), plot_windfarmGA(), plot_windrose(), population_census(), random_search_single()

Examples

plcdf <- plot_cloud(resulthex, TRUE)

windfarmGA documentation built on Sept. 14, 2026, 9:08 a.m.