protected internal override bool Success()
{
if (_success)
{
return(true);
}
GAIndividual best = _populations[_currentPopulation][_bestIndividual];
float predictedFitness = best.GetFitness();
_predictorGA.EvaluateSolutionIndividual((PushGPIndividual)best);
_bestMeanFitness = best.GetFitness();
if (_bestMeanFitness <= 0.1)
{
_success = true;
return(true);
}
best.SetFitness(predictedFitness);
return(false);
}
/// <summary>
/// NOTE: This is entirely copied from PushGP, except EvaluateIndividual
/// was changed to PredictIndividual, as noted below.
/// </summary>
protected internal override void Evaluate()
{
float totalFitness = 0;
_bestMeanFitness = float.MaxValue;
for (int n = 0; n < _populations[_currentPopulation].Length; n++)
{
GAIndividual i = _populations[_currentPopulation][n];
PredictIndividual(i, false);
totalFitness += i.GetFitness();
if (i.GetFitness() < _bestMeanFitness)
{
_bestMeanFitness = i.GetFitness();
_bestIndividual = n;
_bestSize = ((PushGPIndividual)i)._program.ProgramSize();
_bestErrors = i.GetErrors();
}
}
_populationMeanFitness = totalFitness / _populations[_currentPopulation].Length;
}
