public AlgoSettings(SelectionStrategy strategy, StopCriterion stop,
uint populationSize, uint crossoverCount, float mutationRate, int crossover)
{
this.strategy = strategy;
this.stop = stop;
this.populationSize = populationSize;
this.crossoverCount = crossoverCount;
this.mutationRate = mutationRate;
this.crossover = crossover;
//Das ist ein Test
}
/// <summary>
/// Author: Philipp Klein
/// </summary>
public void getParameter()
{
int count = 0;
StopCriterion[] stop = new StopCriterion[3];
AlgoSettings algoSettings = new AlgoSettings();
algoSettings.strategy = (SelectionStrategy)sele.SelectedValue;
algoSettings.populationSize = (uint)popu.Value;
algoSettings.crossoverCount = Convert.ToUInt32(cross.Text);
algoSettings.mutationRate = (float)muta.Value;
if (Number_of_generations.IsChecked == true)
{
maxGeneration gen = new maxGeneration(Convert.ToUInt32(numGen.Text));
stop[count] = gen;
count++;
}
if (Runtime__s_.IsChecked == true)
{
Runtime run = new Runtime(Convert.ToUInt32(runTime.Text));
stop[count] = run;
count++;
}
if (Fitness__ms_.IsChecked == true)
{
Fitness fit = new Fitness(Convert.ToUInt32(fitness.Text));
stop[count] = fit;
count++;
}
StopCriterion[] s = new StopCriterion[count];
for (int i = 0; i < count; i++)
s[i] = stop[i];
algoSettings.stop = s;
}
