plot_parkfitness: Plot the genetic algorithm results
In windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization
plot_parkfitness R Documentation
Plot the genetic algorithm results
Description
Plot the evolution of fitness values with the influences of
selection, crossover and mutation.
Usage
plot_parkfitness(result, spar = 0.1)
Arguments
result
The output of genetic_algorithm
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_evolution(),
plot_fitness_evolution(),
plot_result(),
plot_windfarmGA(),
plot_windrose(),
random_search_single()
Examples
## Plot the results of a hexagonal grid optimization
plot_parkfitness(resulthex)
windfarmGA documentation built on April 4, 2025, 3:39 a.m.
R Package Documentation
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| plot_parkfitness | R Documentation |
Plot the genetic algorithm results
Description
Plot the evolution of fitness values with the influences of selection, crossover and mutation.
Usage
plot_parkfitness(result, spar = 0.1)
Arguments
result |
The output of |
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_evolution(),
plot_fitness_evolution(),
plot_result(),
plot_windfarmGA(),
plot_windrose(),
random_search_single()
Examples
## Plot the results of a hexagonal grid optimization
plot_parkfitness(resulthex)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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