public override Structuring BuildStructuring()
{
try
{
if (Set == null || Structurings == null)
{
throw new NullReferenceException();
}
int k = StructuringsCount;
int _current = 1, _max = k * k;
if (IContainerProgressBar != null)
{
IContainerProgressBar.ResetProgressBar(1, _max, true);
IContainerProgressBar.UpdateProgressBar(1, "Running BOK algorithm...", true);
}
double _bestDistance = double.MaxValue;
int _structuringPosition = 0;
for (int i = 0; i < StructuringsCount; i++)
{
double _temp = 0;
for (int j = 0; j < StructuringsCount; j++)
{
if (i != j)
{
_temp += GenericDistances.CalculateDistance(Structurings[i], Structurings[j], Set);
}
if (IContainerProgressBar != null)
{
IContainerProgressBar.UpdateProgressBar(_current++, "Running BOK algorithm...", false);
}
}
if (_temp < _bestDistance)
{
_bestDistance = _temp;
_structuringPosition = i;
}
}
Structuring = Structurings[_structuringPosition];
if (IContainerProgressBar != null)
{
IContainerProgressBar.FinishProgressBar();
}
return(Structuring);
}
catch
{
if (IContainerProgressBar != null)
{
IContainerProgressBar.ShowError("Error occurred in CSPA algorithm.");
}
return(null);
}
}
/// <summary>
/// Simulated Annealing, minimize the function.
/// </summary>
/// <param name="initial">Initial Solution.</param>
/// <param name="Temp0">Initial Temperature. (Temp0=1000)</param>
/// <param name="alpha">Update K. (alpha less than 1, alpha=.99)</param>
/// <param name="K0">Iterations Count each step (100).</param>
/// <param name="rho">Update K. (rho=1.05)</param>
/// <param name="A">Acceptations Count each step. (A=10)</param>
/// <param name="Frz">Final Temperature. (Frz=.5)</param>
/// <param name="iterationsCount">Iterations Count. (iterationsCount=1000)</param>
/// <param name="Neighbor">Delegate to calculate an Neighbor.</param>
/// <param name="parametersNeighbor">Neighbor's parameters.</param>
/// <param name="EvaluateSolution">Function to evaluate.</param>
/// <param name="parametersEvaluateSolution">EvaluateSolution's parameters.</param>ref int aMaxCluster
/// <param name="aMaxCluster">aMaxCluster the parameter to create new cluster in OneMoveElement.</param>
/// <returns>Best Solution.</returns>
public static string[] RunSAOMNewNeighbor(Set Set, string[] initial_sol, List <string[]> partitions, double Temp0, double alpha, double K0, double rho, double A, double Frz, double iterationsCount, IContainerProgressBar IContainerProgressBar, int _current, GenericDistances aGenericDistance, ref int aMaxCluster)
{
string[] _result = initial_sol;
string[] _best = _result;
double Temp = Temp0;
double K = K0;
double old_evaluation = 0;
double k = 0;
double a = 0;
double iteration = 0;
while (iteration < iterationsCount && A / K < Frz)
{
k = 0;
a = 0;
while (k < K && a < A)
{
old_evaluation = DelegateImplementations.S(Set, _best, partitions, aGenericDistance);
string[] nextSolution = DelegateImplementations.MeetJoinClusters(Set, _result, ref aMaxCluster);
double new_evaluation = DelegateImplementations.S(Set, nextSolution, partitions, aGenericDistance);
double diff = new_evaluation - old_evaluation;
if (diff < 0)
{
_best = nextSolution;
_result = nextSolution;
a++;
}
else
{
double r = new Random(Environment.TickCount).NextDouble();
if (r < Math.Exp(-diff / Temp))
{
_result = nextSolution;
a++;
}
else
{
aMaxCluster = _result.Distinct <string>().Count();
}
}
k++;
}
//Update
Temp = alpha * Temp;
K = rho * K;
iteration++;
if (IContainerProgressBar != null)
{
IContainerProgressBar.UpdateProgressBar(_current++, "Running SAOMNewNeighbor algorithm...", false);
}
}
return(_best);
}
/// <summary>
/// Simulated Annealing, minimize the function.
/// </summary>
/// <param name="initial">Initial Solution.</param>
/// <param name="Temp0">Initial Temperature. (Temp0=1000)</param>
/// <param name="alpha">Update K. (alpha less than 1, alpha=.99)</param>
/// <param name="K0">Iterations Count each step (100).</param>
/// <param name="rho">Update K. (rho=1.05)</param>
/// <param name="A">Acceptations Count each step. (A=10)</param>
/// <param name="Frz">Final Temperature. (Frz=.5)</param>
/// <param name="iterationsCount">Iterations Count. (iterationsCount=1000)</param>
/// <param name="Neighbor">Delegate to calculate an Neighbor.</param>
/// <param name="parametersNeighbor">Neighbor's parameters.</param>
/// <param name="EvaluateSolution">Function to evaluate.</param>
/// <param name="parametersEvaluateSolution">EvaluateSolution's parameters.</param>ref int aMaxCluster
/// <param name="aMaxCluster">aMaxCluster the parameter to create new cluster in OneMoveElement.</param>
/// <returns>Best Solution.</returns>
public static string[] RunBOM(Set Set, string[] initial_sol, List <string[]> partitions, double Temp0, double alpha, double K0, double rho, double A, double Frz, double iterationsCount, IContainerProgressBar IContainerProgressBar, int _current, GenericDistances aGenericDistance, ref int aMaxCluster)
{
//string[] _result = initial_sol;
string[] _best = initial_sol;
double Temp = Temp0;
double K = K0;
double old_evaluation = 0;
double k = 0;
double a = 0;
double iteration = 0;
while (iteration < iterationsCount && A / K < Frz)
{
k = 0;
a = 0;
while (k < K && a < A)
{
old_evaluation = DelegateImplementations.S(Set, _best, partitions, aGenericDistance);
string[] nextSolution = DelegateImplementations.MoveOneElement(Set, _best, ref aMaxCluster);
double new_evaluation = DelegateImplementations.S(Set, nextSolution, partitions, aGenericDistance);
double diff = new_evaluation - old_evaluation;
if (diff < 0)
{
_best = nextSolution;
a++;
}
else
{
aMaxCluster = _best.Distinct <string>().Count();
}
k++;
}
//Update
Temp = alpha * Temp;
K = rho * K;
iteration++;
if (IContainerProgressBar != null)
{
IContainerProgressBar.UpdateProgressBar(_current++, "Running BOM algorithm...", false);
}
}
return(_best);
}
public static double S(Set Set, string[] new_partition, List <string[]> Structurings, GenericDistances aGenericDistance)
{
double _result = 0;
for (int i = 0; i < Structurings.Count; i++)
{
_result += aGenericDistance.CalculateDistanceWithLabels(new_partition, Structurings[i], Set);
}
return(_result);
}
public static double S(Set Set, string[] new_partition, List <string[]> Structurings, GenericDistances aGenericDistance)
{
string[] _tempNewPartition = new_partition;
new_partition = new string[Structurings[0].Length];
for (int i = 0; i < _tempNewPartition.Length; i++)
{
for (int j = 0; j < Set[i].Values.Count; j++)
{
Element _e = (Element)Set[i].Values[j];
new_partition[_e.Index] = _tempNewPartition[i];
}
}
double _result = 0;
for (int i = 0; i < Structurings.Count; i++)
{
_result += aGenericDistance.CalculateDistanceWithLabels(new_partition, Structurings[i], Set);
}
new_partition = _tempNewPartition;
return(_result);
}
