public override void GenerateCandidates(ref List <ICandidate> candidates, int numSamples = -1)
{
if (numSamples == -1)
{
numSamples = (int)MaxVariableSizes.Min();
}
for (var i = 0; i < numSamples; i++)
{
candidates.Add(new Candidate(double.NaN, makeOneRandomCandidate()));
}
}
public override List <double[]> GenerateCandidates(double[] candidate, int numSamples = -1)
{
var candidates = new List <double[]>();
if (numSamples == -1)
{
numSamples = (int)MaxVariableSizes.Min();
}
for (var i = 0; i < numSamples; i++)
{
candidates.Add(makeOneRandomCandidate());
}
return(candidates);
}
/// <summary>
/// Generates the candidates.
/// </summary>
/// <param name="candidate">The candidate.</param>
/// <param name="numSamples">The number samples.</param>
/// <returns>List<System.Double[]>.</returns>
/// <exception cref="Exception">The bounds on the " + j + "(th) variable must not be at infinity for" +
/// "performing Latin Hypercube sampling.</exception>
public override List <double[]> GenerateCandidates(double[] candidate, int numSamples = -1)
{
if (numSamples == -1)
{
numSamples = (int)MaxVariableSizes.Min();
}
var rnd = new Random();
var data = new List <double> [n];
// the following is not correct - need to fix
// also what about the non-discrete variables and LHC?
for (var j = 0; j < n; j++)
{
var varVals = new List <double>();
if (discreteSpaceDescriptor.DiscreteVarIndices.Contains(j) && generateFor != VariablesInScope.OnlyReal)
{
varVals = new List <double>();
for (var i = 0; i < numSamples; i++)
{
var effectiveIndex = (int)(((double)i * discreteSpaceDescriptor[j].Size) / numSamples);
varVals.Add(discreteSpaceDescriptor[j][effectiveIndex]);
}
}
else if (!discreteSpaceDescriptor.DiscreteVarIndices.Contains(j) &&
generateFor != VariablesInScope.OnlyDiscrete)
{
var delta = (discreteSpaceDescriptor[j].UpperBound - discreteSpaceDescriptor[j].LowerBound);
if (double.IsInfinity(delta))
{
throw new Exception("The bounds on the " + j + "(th) variable must not be at infinity for" +
"performing Latin Hypercube sampling.");
}
delta /= numSamples;
var lb = discreteSpaceDescriptor[j].LowerBound;
varVals = new List <double>();
for (var i = 0; i < numSamples; i++)
{
varVals.Add(lb + i * delta);
}
}
else
{
for (var i = 0; i < numSamples; i++)
{
varVals.Add(double.NaN);
}
}
varVals = varVals.OrderBy(a => rnd.NextDouble()).ToList();
data[j] = varVals;
}
var candidates = new List <double[]>(numSamples);
for (var i = 0; i < numSamples; i++)
{
var point = new double[n];
for (var j = 0; j < n; j++)
{
point[j] = data[j][i];
}
candidates.Add(point);
}
return(candidates);
}
