public override void DisplayResult(TextWriter t)
{
double obj = 0;
t.WriteLine("");
t.WriteLine("Result:");
t.WriteLine("-------");
for (int i = 0; i < this.Pop.Vector[this.Pop.posBest].Dimension; i++) // foreach dimension of best vector
{
t.WriteLine("x({0}) = {1}", i, this.Pop.Vector[this.Pop.posBest].CurrentVector[i]);
}
t.WriteLine("f(x) = {0}", this.Pop.Vector[this.Pop.posBest].Objective);
for (int i = 0; i < this.Pop.Member; i++)//display assigned machine for each operation of the best vector
{
if (i == this.Pop.posBest)
{
FitnessValue.FitnessValueScheduleGJSP(JD.NoJob, JD.NoMc, JD.NoOp, this.Pop.Vector[i].CurrentVector, JD.Job, this.Pop.Vector[i].Dimension, JD.NoOpPerMc, JD.Machine, JD);
for (int j = 0; j < JD.NoJob; j++)
{
t.WriteLine("");
t.WriteLine("J{0}\t Start\t End\n", j + 1);
for (int k = 0; k < JD.NoOp[j]; k++)
{
t.WriteLine("{0} \t {1} \t {2} ", k + 1, JD.Job[j].Operation[k].StartTime, JD.Job[j].Operation[k].EndTime);
}
}
}
}
}
public override double Objective(DecisionVector P, int trial)
{
double obj = 0;
if (trial == 0)
{
obj = FitnessValue.FitnessValueScheduleGJSP(JD.NoJob, JD.NoMc, JD.NoOp, P.CurrentVector, JD.Job, P.Dimension, JD.NoOpPerMc, JD.Machine, JD);
}
if (trial == 1)
{
obj = FitnessValue.FitnessValueScheduleGJSP(JD.NoJob, JD.NoMc, JD.NoOp, P.TrialVector, JD.Job, P.Dimension, JD.NoOpPerMc, JD.Machine, JD);
}
return(obj);
}
public static double[] InterExchangeCirticalPath(int NoJob, int NoMc, int[] NoOp, int[] NoOpPerMc,
int Dimension, double[] Position, double FitValue, machine[] Machine, job[] Job, ref Random RandomNum, ref JSPdata JD)
{
ArrayList Pair1 = new ArrayList(); //forward
ArrayList Pair2 = new ArrayList();
ArrayList Pair1BW = new ArrayList(); //backward
ArrayList Pair2BW = new ArrayList();
FitValue = FitnessValue.FitnessValueScheduleGJSP(NoJob, NoMc, NoOp, Position, Job, Dimension, NoOpPerMc, Machine, JD);
CirticalPath(NoJob, NoMc, NoOp, NoOpPerMc, Machine, Job, ref Pair1, ref Pair2, ref Pair1BW, ref Pair2BW, ref RandomNum); //get possible pairs by defining a path (blocks)
double[] AdjPosition = new double[Dimension];
double[] MinAdjPosition = new double[Dimension];
double AdjFitValue = 0;
double MinAdjFitValue = FitValue;
for (int i = 0; i < Dimension; i++)
{
MinAdjPosition[i] = Position[i];
}
int NoPair = Pair1.Count; //forward
for (int l = 0; l < NoPair; l++)
{
int Locate1 = (int)Pair1[l];
int Locate2 = (int)Pair2[l];
if (Locate1 < Locate2) //"Locate1>Locate2" means leaps frogging Locate1 over Locate2 (Active Schedule)//
{
for (int i = 0; i < Dimension; i++)
{
AdjPosition[i] = Position[i];
}
InterExchangeAPair(Dimension, ref AdjPosition, Locate1, Locate2);//InterExchange one pair to the position
AdjFitValue = FitnessValue.FitnessValueScheduleGJSP(NoJob, NoMc, NoOp, AdjPosition, Job, Dimension, NoOpPerMc, Machine, JD);
if (AdjFitValue < MinAdjFitValue)
{
MinAdjFitValue = AdjFitValue;
for (int i = 0; i < Dimension; i++)
{
MinAdjPosition[i] = AdjPosition[i];
}
}
}
}
int NoPairBW = Pair1BW.Count; //backward
for (int l = 0; l < NoPairBW; l++)
{
int Locate1 = (int)Pair1BW[l];
int Locate2 = (int)Pair2BW[l];
if (Locate1 < Locate2) //"Locate1>Locate2" means leaps frogging Locate1 over Locate2 (Active Schedule)//
{
for (int i = 0; i < Dimension; i++)
{
AdjPosition[i] = Position[i];
}
InterExchangeAPairBW(Dimension, ref AdjPosition, Locate1, Locate2);//InterExchange one pair to the position
AdjFitValue = FitnessValue.FitnessValueScheduleGJSP(NoJob, NoMc, NoOp, AdjPosition, Job, Dimension, NoOpPerMc, Machine, JD);
if (AdjFitValue < MinAdjFitValue)
{
MinAdjFitValue = AdjFitValue;
for (int i = 0; i < Dimension; i++)
{
MinAdjPosition[i] = AdjPosition[i];
}
}
}
}
return(MinAdjPosition);
}
