public Ages.EvaluatedIndividual Generation()
{
Ages.GoThroughGenerations();
Ages.EvaluatedIndividual champ = Ages.Champions.Last();
return(champ);
}
private void Work()
{
Ages.EvaluatedIndividual champ = _series.GA.Generation();
CartesianIndividual champVals = (CartesianIndividual)champ.Individual;
float mse = champ.Score.Value * 1000;
double logmse = mse;
_champs.Add(champ);
var newPop = new ChartValues <ScatterPoint>();
foreach (var ei in _series.GA.Ages.Population)
{
CartesianIndividual cartesian = (CartesianIndividual)ei.Individual;
if (ei == champ)
{
newPop.Add(new ScatterPoint(cartesian.Values[0], cartesian.Values[1], 1));
}
else
{
newPop.Add(new ScatterPoint(cartesian.Values[0], cartesian.Values[1], 0.1));
}
}
bool isNewChamp = _champs.Count == 1 ||
CartesianIndividual.Distance((CartesianIndividual)_champs[_champs.Count - 2].Individual, champVals) > 0.001;
ChartValues <ObservablePoint> actualValues = null;
if (isNewChamp)
{
actualValues = new ChartValues <ObservablePoint>(
_series.GA.ExpectedValsX.Zip(
Helpers.EvaluatePolynomial(champVals, _series.GA.PowsOfXForAllX),
(x, y) => new ObservablePoint(x, y)));
}
Dispatcher.Invoke(() =>
{
_series.Score.Values.Add(logmse);
var nicheDensity = _series.GA.Ages.NicheStrat as Strats.NicheDensityStrategy;
_series.R.Values.Add((double)(nicheDensity?.NicheRadius ?? 0));
_series.Pop.Values = newPop;
if (isNewChamp)
{
_series.Actual.Values = actualValues;
_series.Champ.Values.Add(new ObservablePoint(champVals.Values[0], champVals.Values[1]));
}
for (int i = 0; i < champVals.Values.Length && i < _series.Champs.Length; ++i)
{
_series.Champs[i].Values.Add(champVals.Values[i]);
}
if (_series.GA.Ages.GenerationCount < _series.GA.GenerationStop)
{
_timer.Start();
}
});
}
