/// <summary>
/// Before we start GP prepare all neccessery information
/// </summary>
/// <param name="termSet"></param>
/// <param name="funSet"></param>
/// <param name="gpParams"></param>
public void PrepareAlgorithm(GPTerminalSet termSet, GPFunctionSet funSet, GPParameters gpParams = null)
{
m_IterationCounter = 0;
if (Population == null)
{
Population = new CHPopulation();
}
Population.InitPopulation(termSet, funSet, gpParams);
Population.CalculatePopulation();
IsAlgorthmPrepared = true;
StopIteration = false;
//calculate model and prediction
GPChromosome ch = Population.bestChromosome as GPChromosome;
double[][] model = CalculateModel(ch);
double[][] prediction = CalculateModel(ch, false);
//Report the evolution has been started
if (ReportEvolution != null)
{
ReportEvolution(this,
new ProgressIndicatorEventArgs()
{
ReportType = ProgramState.Started,
AverageFitness = Population.fitnessAvg,
BestChromosome = Population.bestChromosome,
CurrentIteration = 0, LearnOutput = model, PredicOutput = prediction
});
}
}
public GPFactory()
{
Population = new CHPopulation();
}