/// <summary>Evaluates the current population and updates their fitness values.</summary>
/// <remarks>
/// Evaluates the current population and updates their fitness values. This
/// method may be overridden by subclasses to customize GA behavior.
/// </remarks>
protected internal virtual void Evaluate()
{
double totalFitness = 0;
_bestMeanFitness = float.MaxValue;
for (int n = 0; n < _populations[_currentPopulation].Length; n++)
{
GAIndividual i = _populations[_currentPopulation][n];
EvaluateIndividual(i);
totalFitness += i.GetFitness();
if (i.GetFitness() < _bestMeanFitness)
{
_bestMeanFitness = i.GetFitness();
_bestIndividual = n;
_bestErrors = i.GetErrors();
}
}
_populationMeanFitness = totalFitness / _populations[_currentPopulation].Length;
}
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];
EvaluateIndividual(i);
totalFitness += i.GetFitness();
// fitness is minimized.
if (i.GetFitness() < _bestMeanFitness)
{
_bestMeanFitness = i.GetFitness();
_bestIndividual = n;
_bestSize = ((PushGPIndividual)i)._program.ProgramSize();
_bestErrors = i.GetErrors();
}
}
_populationMeanFitness = totalFitness / _populations[_currentPopulation].Length;
}
