public FitnessInfo Evaluate(FastCyclicNetwork phenome)
{
EvaluationCount++;
var fcn = FastCyclicNetworkAdapter.Convert(phenome);
ProtocolManager.Open();
var cFitness = ProtocolManager.Client.calculateXorPhenotypeFitness(fcn);
//ProtocolManager.Close(); adding this line implies a huge performance hit
var auxFitness = new AuxFitnessInfo[cFitness.AuxFitness.Count];
for (int i = 0; i < auxFitness.Length; i++)
{
auxFitness[i] = new AuxFitnessInfo(cFitness.AuxFitness[i].Name, cFitness.AuxFitness[i].Value);
}
var fitness = new FitnessInfo(cFitness.Fitness, auxFitness);
StopConditionSatisfied = cFitness.StopConditionSatisfied;
if (StopConditionSatisfied)
{
FitnessInfo fi = _xorBlackBoxEvaluator.Evaluate(phenome);
bool reallySatisfied = _xorBlackBoxEvaluator.StopConditionSatisfied;
Debug.Assert((fi._fitness >= 10) == _xorBlackBoxEvaluator.StopConditionSatisfied);
if (!reallySatisfied)
{
Console.Out.WriteLine("ERROR: really fitness is not calculated (" + fi._fitness + " versus " +
cFitness.Fitness + ")");
Console.Out.WriteLine(phenome.ToString());
//throw new Exception("Wheih :(");
}
else
{
Console.Out.WriteLine("Networks is really good");
}
}
// We do not use the NEAT genome decoder. The NEAT genome decoder would
// do the same as the following code, but provide us with an IBlackBox object.
// Because we pass on the object to our Java code, we need to be aware of its
// underlying structure. The additional layer of abstraction gets in the way.
return(fitness);
}
/// <summary>
/// Construct with the provided fitness value and auxiliary fitness info.
/// </summary>
public FitnessInfo(double fitness, AuxFitnessInfo[] auxFitnessArr)
{
_fitness = fitness;
_auxFitnessArr = auxFitnessArr;
}
