public override void Execute(PopulationBase population, out IndividualBase chosenIndividual1, out IndividualBase chosenIndividual2)
{
IndividualBase[] selectedParents = new IndividualBase[2];
for (int individualIdx = 0; individualIdx < 2; ++individualIdx)
{
selectedParents[individualIdx] = population.GetRandomIndividual();
for (int selectionIdx = 1; selectionIdx < tourSize; ++selectionIdx)
{
IndividualBase randomIndividual = population.GetRandomIndividual();
if (randomIndividual.GetFitnessForObjective(Problem.MonoObjectiveGoal) > selectedParents[individualIdx].GetFitnessForObjective(Problem.MonoObjectiveGoal))
{
selectedParents[individualIdx] = randomIndividual;
}
}
}
chosenIndividual1 = selectedParents[0];
chosenIndividual2 = selectedParents[1];
}
private IndividualBase Execute(int numberOfExecutions, out int bestResultCount)
{
IndividualBase bestIndividual = Execute();
double bestCurrentValue = bestIndividual.GetFitnessForObjective(Problem.MonoObjectiveGoal);
bestResultCount = 1;
for (int executionCount = 1; executionCount < numberOfExecutions; ++executionCount)
{
IndividualBase currentIndividual = Execute();
double currentValue = currentIndividual.GetFitnessForObjective(Problem.MonoObjectiveGoal);
if (currentValue > bestCurrentValue)
{
bestIndividual = currentIndividual;
bestCurrentValue = currentValue;
bestResultCount = 1;
}
else if (currentValue == bestCurrentValue)
{
++bestResultCount;
}
}
return(bestIndividual);
}
