public override void Evaluate(Solution solution)
{
var s = (IntergenSolution)solution;
var doubleVal = new double[Model.Setting.NumberOfFeatures];
var interacVal = new double[Model.Setting.NumberOfInteractions];
var values = new XReal(solution);
for (var i = 0; i < Model.Setting.NumberOfFeatures; i++)
{
doubleVal[i] = values.GetValue(i);
}
for (var i = 0; i < Model.Setting.NumberOfInteractions; i++)
{
interacVal[i] = values.GetValue(i + Model.Setting.NumberOfFeatures);
}
//the distribution from the NSGA2
var nsgaFv = new Distribution(doubleVal);
var interacDist = new Distribution(interacVal);
var variantValuesWithoutInteraction = FeatureMatrix.Dot(doubleVal);
var interacVals = InteractionMatrix.Dot(interacVal);
var variantResults = variantValuesWithoutInteraction.Add(interacVals);
var variantResult = new Distribution(variantResults);
var fc = new FitnessCalculator(Model, s.FoundAtEval);
var fitnessValues = fc.Calculate(null, null, null, null, interacDist, InteractionTarget);
solution.Objective[0] = fitnessValues.InteracVal;
FitnessTracker.AddInterac(s.FoundAtEval, fitnessValues.InteracVal);
}
/// <summary>
/// One of the most fundamental types of groups is the triads
/// Rapid formation and reformation of triads is one key aspect of flexibility
/// For flexibility, Triads numbers are normalized with maximum potential triads
/// </summary>
public void HandleTriads(ushort agentsCount)
{
var numberOfTriads =
InteractionMatrix.NumberOfTriads(Environment.MainOrganization.ArtifactNetwork.InteractionSphere.Sphere);
var maxTriads = InteractionMatrix.MaxTriads(agentsCount);
var triads = new DensityStruct(numberOfTriads, maxTriads, Environment.Schedule.Step);
Triads.Add(triads);
}
public override void Evaluate(Solution solution)
{
var s = (IntergenSolution)solution;
var doubleVal = new double[Model.Setting.NumberOfFeatures];
var interacVal = new double[Model.Setting.NumberOfInteractions];
var values = new XReal(solution);
for (var i = 0; i < Model.Setting.NumberOfFeatures; i++)
{
doubleVal[i] = values.GetValue(i);
}
for (var i = 0; i < Model.Setting.NumberOfInteractions; i++)
{
interacVal[i] = values.GetValue(i + Model.Setting.NumberOfFeatures);
}
//the distribution from the NSGA2
var nsgaFv = new Distribution(doubleVal);
var interacDist = new Distribution(interacVal);
var multiplicationTime = new Stopwatch(); multiplicationTime.Start();
var variantValuesWithoutInteraction = FeatureMatrix.Dot(doubleVal);
var interacVals = InteractionMatrix.Dot(interacVal);
var variantResults = variantValuesWithoutInteraction.Add(interacVals);
multiplicationTime.Stop();
FitnessTracker.AddMultiplicationTime(multiplicationTime.ElapsedMilliseconds);
var variantResult = new Distribution(variantResults);
var localScaledVariants = new double[VariantTarget.Values.Length];
Array.Copy(VariantTarget.Values, localScaledVariants, VariantTarget.Values.Length);
var localVariantTarget = new Distribution(localScaledVariants);
localVariantTarget = FMScaling.InteractionToScale(localVariantTarget, variantResults.Min(),
variantResults.Max());
var fc = new FitnessCalculator(Model, s.FoundAtEval);
var fitnessValues = fc.Calculate(variantResult, localVariantTarget, nsgaFv, FeatureTarget, interacDist, InteractionTarget);
solution.Objective[0] = fitnessValues.FeatureVal;
solution.Objective[1] = fitnessValues.InteracVal;
solution.Objective[2] = fitnessValues.VariantVal;
FitnessTracker.AddCalcTime(fc.GetFitnessTime());
FitnessTracker.Add(s.FoundAtEval, fitnessValues.FeatureVal, fitnessValues.InteracVal, fitnessValues.VariantVal);
}