/// <summary>
/// Construct the parallel task.
/// </summary>
/// <param name="genome">The genome.</param>
/// <param name="theOwner">The owner.</param>
public ParallelScoreTask(IGenome genome, ParallelScore theOwner)
{
owner = theOwner;
this.genome = genome;
scoreFunction = theOwner.ScoreFunction;
adjusters = theOwner.Adjusters;
}
/// <summary>
/// Construct the parallel task.
/// </summary>
/// <param name="genome">The genome.</param>
/// <param name="theOwner">The owner.</param>
public ParallelScoreTask(IGenome genome, ParallelScore theOwner)
{
owner = theOwner;
this.genome = genome;
scoreFunction = theOwner.ScoreFunction;
adjusters = theOwner.Adjusters;
}
/// <summary>
/// Called before the first iteration. Determine the number of threads to
/// use.
/// </summary>
private void PreIteration()
{
_initialized = true;
_speciation.Init(this);
// score the population
var pscore = new ParallelScore(Population,
CODEC, _adjusters, ScoreFunction, ThreadCount);
pscore.Process();
// just pick the first genome with a valid score as best, it will be
// updated later.
// also most populations are sorted this way after training finishes
// (for reload)
// if there is an empty population, the constructor would have blow
IList<IGenome> list = Population.Flatten();
int idx = 0;
do
{
BestGenome = list[idx++];
} while (idx < list.Count
&& (Double.IsInfinity(BestGenome.Score) || Double
.IsNaN(BestGenome.Score)));
Population.BestGenome = BestGenome;
// speciate
IList<IGenome> genomes = Population.Flatten();
_speciation.PerformSpeciation(genomes);
// purge invalid genomes
Population.PurgeInvalidGenomes();
}