public int[,] Execute(List <Flight> FlightsData)
{
int currentGeneration = 1;
P = new int[2 * Parameters.PopSize, FlightsData.Count]; //int[,] P = new int[2 * PopSize, FlightsData.Count];
InitialSolution IS = new InitialSolution();
List <int> PopulationIndexList = BasicFunctions.GetPopulationIndexList();
for (int IndividIndex = 0; IndividIndex < 2 * Parameters.PopSize; IndividIndex += 2)
{
int [,] Individ = IS.GetRandomSolution(FlightsData);
BasicFunctions.IndividInsert(ref P, Individ, IndividIndex); //IndividInsert(P,Individ, IndividIndex);
}
int[,] Best = new int[2, FlightsData.Count];
PopQuality = new int[2, Parameters.PopSize];
BasicFunctions.calculationTime = BasicFunctions.sw.ElapsedMilliseconds;
do
{
for (int individIndex = 0; individIndex < P.GetLength(0); individIndex += 2)
{
int currentFitness = Constraints.AssessFitness(P, individIndex, FlightsData);
PopQuality[0, individIndex / 2] = individIndex;
PopQuality[1, individIndex / 2] = currentFitness;
//Console.WriteLine("currentFitness = " + currentFitness);
if (BestFitness == -1 || currentFitness < BestFitness)
{
Best = BasicFunctions.GetIndivid(P, individIndex);
BestFitness = currentFitness;
BasicFunctions.calculationTime = BasicFunctions.sw.ElapsedMilliseconds;
//Console.WriteLine("Calculation time: " + BasicFunctions.calculationTime);
//Console.WriteLine("Iteration: " + currentGeneration);
//Console.WriteLine("BestFitness = " + BestFitness);
//Constraints.CheckMinSeparation(Best);
//Constraints.CheckNoAssignBefore(Best,FlightsData);
//BasicFunctions.PrintIndivid(Best);
}
}
int[,] Q = new int[Parameters.PopSize * 2, FlightsData.Count];
int[,] ParentA, ParentB;
int ParentAIndex, ParentBIndex;
int[,] ChildA = new int[2, FlightsData.Count];
int[,] ChildB = new int[2, FlightsData.Count];
List <int> TournamentSelectionIndexList;
Parameters.ResetParameterValues(FlightsData.Count);
for (int NewPopIndividIndex = 0; NewPopIndividIndex < Parameters.PopSize * 2; NewPopIndividIndex += 4)
{
TournamentSelectionIndexList = BasicFunctions.GetTournamentSelectionIndexList(PopulationIndexList);
ParentAIndex = BasicFunctions.GetParentIndex(TournamentSelectionIndexList, PopQuality);
TournamentSelectionIndexList = BasicFunctions.GetTournamentSelectionIndexList(PopulationIndexList);
ParentBIndex = BasicFunctions.GetParentIndex(TournamentSelectionIndexList, PopQuality);
ParentA = BasicFunctions.GetIndivid(P, ParentAIndex);
ParentB = BasicFunctions.GetIndivid(P, ParentBIndex);
this.GenerateChildren(ref ChildA, ref ChildB, ParentA, ParentB, FlightsData);
this.ApplySwap(ref ChildA, FlightsData);
this.ApplySwap(ref ChildB, FlightsData);
BasicFunctions.IndividInsert(ref Q, ChildA, NewPopIndividIndex);
BasicFunctions.IndividInsert(ref Q, ChildB, NewPopIndividIndex + 2);
}
P = Q;
//Console.WriteLine("CurrentGeneration: " + currentGeneration);
currentGeneration++;
} while (currentGeneration <= Parameters.maxGenerations);
//Console.WriteLine("Best fitness: " + BestFitness);
//BasicFunctions.SetCalculatedFlightTime(Best,FlightsData);
//BasicFunctions.SetCalculatedPosition(Best, FlightsData);
//BasicFunctions.PrintIndivid(Best);
//BasicFunctions.PrintFlightTime(FlightsData);
//Constraints.CheckMinSeparation(Best, FlightsData);
//Constraints.CheckNoAssignBefore(Best, FlightsData);
//Constraints.CheckAllFlightAreAssigned(Best, FlightsData);
//PrintFlightTime();
return(Best);
}
public int[,] Execute(List <Flight> FlightsData)
{
int currentGeneration = 1;
P = new int[2 * Parameters.PopSize, FlightsData.Count]; //int[,] P = new int[2 * PopSize, FlightsData.Count];
InitialSolution IS = new InitialSolution();
List <int> PopulationIndexList = BasicFunctions.GetPopulationIndexList();
for (int IndividIndex = 0; IndividIndex < 2 * Parameters.PopSize; IndividIndex += 2)
{
int [,] Individ = IS.GetRandomSolution(FlightsData);
BasicFunctions.IndividInsert(ref P, Individ, IndividIndex); //IndividInsert(P,Individ, IndividIndex);
}
int[,] Best = new int[2, FlightsData.Count];
PopQuality = new int[2, Parameters.PopSize];
BasicFunctions.calculationTime = BasicFunctions.sw.ElapsedMilliseconds;
for (int individIndex = 0; individIndex < P.GetLength(0); individIndex += 2)
{
int currentFitness = Constraints.AssessFitness(P, individIndex, FlightsData);
PopQuality[0, individIndex / 2] = individIndex;
PopQuality[1, individIndex / 2] = currentFitness;
if (BestFitness == -1 || currentFitness < BestFitness)
{
Best = BasicFunctions.GetIndivid(P, individIndex);
BestFitness = currentFitness;
//Console.WriteLine("BestFitness = " + BestFitness);
//BasicFunctions.PrintIndivid(Best);
}
}
do
{
List <int> RemoveList = this.GetRandomListOfIndividualsToRemove();
int[,] ParentA, ParentB;
int ParentAIndex, ParentBIndex;
int[,] ChildA = new int[2, FlightsData.Count];
int[,] ChildB = new int[2, FlightsData.Count];
List <int> TournamentSelectionIndexList;
Parameters.ResetParameterValues(FlightsData.Count);
for (int RemoveListIndex = 0; RemoveListIndex < RemoveList.Count; RemoveListIndex += 2)
{
TournamentSelectionIndexList = BasicFunctions.GetTournamentSelectionIndexList(PopulationIndexList);
ParentAIndex = BasicFunctions.GetParentIndex(TournamentSelectionIndexList, PopQuality);
TournamentSelectionIndexList = BasicFunctions.GetTournamentSelectionIndexList(PopulationIndexList);
ParentBIndex = BasicFunctions.GetParentIndex(TournamentSelectionIndexList, PopQuality);
ParentA = BasicFunctions.GetIndivid(P, ParentAIndex);
ParentB = BasicFunctions.GetIndivid(P, ParentBIndex);
this.GenerateChildren(ref ChildA, ref ChildB, ParentA, ParentB, FlightsData);
this.ApplySwap(ref ChildA, FlightsData);
this.ApplySwap(ref ChildB, FlightsData);
int ChildAFitness = Constraints.AssessFitness(ChildA, FlightsData);
//Console.WriteLine("ChildAFitness = " + ChildAFitness);
if (ChildAFitness < BestFitness)
{
Best = ChildA;
BestFitness = ChildAFitness;
BasicFunctions.calculationTime = BasicFunctions.sw.ElapsedMilliseconds;
//Console.WriteLine("BestFitness = " + BestFitness);
//BasicFunctions.PrintIndivid(Best);
}
int ChildBFitness = Constraints.AssessFitness(ChildB, FlightsData);
//Console.WriteLine("ChildBFitness = " + ChildBFitness);
if (ChildBFitness < BestFitness)
{
Best = ChildB;
BestFitness = ChildBFitness;
BasicFunctions.calculationTime = BasicFunctions.sw.ElapsedMilliseconds;
//Console.WriteLine("BestFitness = " + BestFitness);
//BasicFunctions.PrintIndivid(Best);
}
BasicFunctions.IndividInsert(ref P, ChildA, RemoveList[RemoveListIndex]);
BasicFunctions.IndividInsert(ref P, ChildB, RemoveList[RemoveListIndex + 1]);
PopQuality[0, RemoveList[RemoveListIndex] / 2] = RemoveList[RemoveListIndex];
PopQuality[1, RemoveList[RemoveListIndex] / 2] = ChildAFitness;
PopQuality[0, RemoveList[RemoveListIndex + 1] / 2] = RemoveList[RemoveListIndex + 1];
PopQuality[1, RemoveList[RemoveListIndex + 1] / 2] = ChildBFitness;
}
//Console.WriteLine("CurrentGeneration: " + currentGeneration);
currentGeneration++;
} while (currentGeneration <= Parameters.maxGenerations);
//Console.WriteLine("Best fitness: " + BestFitness);
//BasicFunctions.SetCalculatedFlightTime(Best,FlightsData);
//PrintIndivid(Best);
//PrintFlightTime();
return(Best);
}
