Plot the evolution of fitness values with the influences of selection, crossover and mutation.
Arguments
- result
The output of
genetic_algorithm
- spar
A numeric value determining how exact a spline should be drawn. Default is 0.1
See also
Other Plotting Functions:
plot_cloud()
,
plot_development()
,
plot_evolution()
,
plot_fitness_evolution()
,
plot_result()
,
plot_windfarmGA()
,
plot_windrose()
,
random_search_single()