private void SetInitialSolution()
{
var individual = BinaryStringHelper.GenerateRandomIndividual(IndividualLength);
ActualSolution = new Reduct(individual, ClusteredDataObjects);
CheckedReducts.Add(ActualSolution);
}
private void AddRandomIndividualToPopulation()
{
var randomIndividual = BinaryStringHelper.GenerateRandomIndividual(IndividualLength);
TryAddReductToCheckedReductsList(randomIndividual);
ActualPopulation.Individuals.Add(CheckedReducts.FirstOrDefault(r => r.Individual == randomIndividual));
}
private void SetInitialPopulation()
{
ActualPopulation = new Population();
for (var i = 0; i < _inputValues.PopulationSize; i++)
{
var randomIndividual = BinaryStringHelper.GenerateRandomIndividual(IndividualLength);
TryAddReductToCheckedReductsList(randomIndividual);
ActualPopulation.Individuals.Add(CheckedReducts.FirstOrDefault(r => r.Individual == randomIndividual));
}
}
public override void Calculate()
{
CalculateApproximationForAllAttributes();
for (var i = 1; i < _numberOfSolutions; i++)
{
var individual = BinaryStringHelper.ConvertIntToBinaryString(i, IndividualLength);
var reduct = new Reduct(individual, ClusteredDataObjects);
if (ShouldChangeBestSolution(reduct))
{
BestSolution = reduct;
}
}
}
private void GenerateNewSolutionFromNeighbors(Reduct eliteReduct, int neighborhoodSize, int neighborhoodSteps)
{
var neighborhood = new List <Reduct>();
for (var i = 0; i < neighborhoodSize; i++)
{
var neighborIndividual = string.Empty;
for (var j = 0; j < neighborhoodSteps; j++)
{
neighborIndividual = BinaryStringHelper.GenerateNeighborSolution(eliteReduct.Individual);
}
TryAddReductToCheckedReductsList(neighborIndividual);
neighborhood.Add(CheckedReducts.FirstOrDefault(r => r.Individual == neighborIndividual));
}
ActualPopulation.Individuals.Add(neighborhood.OrderByDescending(r => r.Approximation).ThenBy(i => i.Subset.Count).FirstOrDefault());
}
protected void CalculateApproximationForAllAttributes()
{
var individual = BinaryStringHelper.GenerateIndividualWithAllAttributes(IndividualLength);
AllAttributesSolution = new Reduct(individual, ClusteredDataObjects);
}
