private void btnPopulation_Click(object sender, EventArgs e)
{
if (popSize.Value == 0)
{
return;
}
var population = new Individuals();
population.GeneratePopulation((int)popSize.Value, _benchmark.GetById((int)comboFunctions.SelectedValue), _integer, (float)genMin.Value, (float)genMax.Value);
//population.ComputeFitness();
PlotGeneration((int)comboFunctions.SelectedValue, population);
}
public override Individuals Run(Individuals p, Function f, bool _integer, float?min = null, float?max = null)
{
if (min == null)
{
min = f.GetMin();
}
if (max == null)
{
max = f.GetMax();
}
Individual best = p.GetBest();
var result = new Individuals();
result.Population.Add(best);
result.GeneratePopulation(p.Population.Count - 1, f, _integer, min, max);
return(result);
}
private async void btnRunAlgorithm_Click(object sender, EventArgs e)
{
if (popSize.Value == 0)
{
return;
}
var population = new Individuals();
population.GeneratePopulation((int)popSize.Value, _benchmark.GetById((int)comboFunctions.SelectedValue), _integer, (float)genMin.Value, (float)genMax.Value);
population.ComputeFitness();
for (int i = 0; i < (int)numberOfGenerationsUpDown.Value; i++)
{
population = _algorithms.All.FirstOrDefault(a => a.Id == (int)comboAlgorithms.SelectedValue).Run(population, _benchmark.GetById((int)comboFunctions.SelectedValue), _integer, (float)genMin.Value, (float)genMax.Value);
population.ComputeFitness();
PlotGeneration((int)comboFunctions.SelectedValue, population);
await UpdateProgress(i);
}
}
