static void Main(string[] args)
{
GA Ga;
TravellingSalesman1dObjective Objective;
TravelingSalesman2dObjective Objective2;
int[] cities = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 1400, 15000};
Objective = new TravellingSalesman1dObjective(cities);
//
// Create the objective.
//
System.Collections.ArrayList cities2 = new System.Collections.ArrayList();
//System.IO.StreamReader sr = System.IO.File.OpenText("../../xpf131.tsp");
System.IO.StreamReader sr = System.IO.File.OpenText("../../xit1083.tsp");
string s;
bool gotime = false;
s = sr.ReadLine();
while ( s != null )
{
s.Trim();
if ( !gotime )
{
if (s == "NODE_COORD_SECTION" )
{
gotime = true;
}
s = sr.ReadLine();
continue;
}
if ( s == "EOF" )
{
break;
}
string[] sa = s.Split(' ', '\t');
if ( sa.Length != 3 )
{
throw new Exception();
}
int city = Int32.Parse(sa[0]);
int x = Int32.Parse(sa[1]);
int y = Int32.Parse(sa[2]);
cities2.Add( new Point(x, y) );
s = sr.ReadLine();
}
sr.Close();
//Point[] cities2 = new Point[] { };
Objective2 = new TravelingSalesman2dObjective( (Point[]) cities2.ToArray(typeof(Point)));
//
// Create the mutator
//
Ga = new GA();
Ga.GeneDescriptors = new GeneDescriptor[] { new IntegerGeneDescriptor() };
Ga.Homogeneous = true;
//Ga.ChromosomeLength = cities.Length;
Ga.ChromosomeLength = cities2.Count;
Ga.Recombinator = new RecombinationDelegate( new genX.Recombination.PartiallyMatchedCrossover().Recombine );
Ga.OrderMutator = new OrderMutationDelegate( genX.Reordering.Swap.Reorder );
Ga.ValueMutator = null;
Ga.Scaler = new ScalingDelegate( new genX.Scaling.LinearRankedFitnessScaler(1.6).Scale );
Ga.RecombinationProbability = 0.7;
Ga.PopulationSize = 500;
// Ga.Objective = new ObjectiveDelegate( Objective.GetObjective );
Ga.Objective = new ObjectiveDelegate( Objective2.GetObjective );
Ga.ObjectiveType = ObjectiveType.MinimizeObjective;
Ga.MaxGenerations = 1000000;
Ga.NewPopulation += new NewPopulationEventHandler( OnNewPopulation );
Ga.Run();
Console.WriteLine("Best Individual:");
Console.WriteLine( Ga.Population.Summary.BestChromosome );
Console.WriteLine("Finished. Hit return.");
Console.ReadLine();
}
static void Main(string[] args)
{
GA Ga;
TravellingSalesman1dObjective Objective;
TravelingSalesman2dObjective Objective2;
int[] cities = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 1400, 15000 };
Objective = new TravellingSalesman1dObjective(cities);
//
// Create the objective.
//
System.Collections.ArrayList cities2 = new System.Collections.ArrayList();
//System.IO.StreamReader sr = System.IO.File.OpenText("../../xpf131.tsp");
System.IO.StreamReader sr = System.IO.File.OpenText("../../xit1083.tsp");
string s;
bool gotime = false;
s = sr.ReadLine();
while (s != null)
{
s.Trim();
if (!gotime)
{
if (s == "NODE_COORD_SECTION")
{
gotime = true;
}
s = sr.ReadLine();
continue;
}
if (s == "EOF")
{
break;
}
string[] sa = s.Split(' ', '\t');
if (sa.Length != 3)
{
throw new Exception();
}
int city = Int32.Parse(sa[0]);
int x = Int32.Parse(sa[1]);
int y = Int32.Parse(sa[2]);
cities2.Add(new Point(x, y));
s = sr.ReadLine();
}
sr.Close();
//Point[] cities2 = new Point[] { };
Objective2 = new TravelingSalesman2dObjective((Point[])cities2.ToArray(typeof(Point)));
//
// Create the mutator
//
Ga = new GA();
Ga.GeneDescriptors = new GeneDescriptor[] { new IntegerGeneDescriptor() };
Ga.Homogeneous = true;
//Ga.ChromosomeLength = cities.Length;
Ga.ChromosomeLength = cities2.Count;
Ga.Recombinator = new RecombinationDelegate(new genX.Recombination.PartiallyMatchedCrossover().Recombine);
Ga.OrderMutator = new OrderMutationDelegate(genX.Reordering.Swap.Reorder);
Ga.ValueMutator = null;
Ga.Scaler = new ScalingDelegate(new genX.Scaling.LinearRankedFitnessScaler(1.6).Scale);
Ga.RecombinationProbability = 0.7;
Ga.PopulationSize = 500;
// Ga.Objective = new ObjectiveDelegate( Objective.GetObjective );
Ga.Objective = new ObjectiveDelegate(Objective2.GetObjective);
Ga.ObjectiveType = ObjectiveType.MinimizeObjective;
Ga.MaxGenerations = 1000000;
Ga.NewPopulation += new NewPopulationEventHandler(OnNewPopulation);
Ga.Run();
Console.WriteLine("Best Individual:");
Console.WriteLine(Ga.Population.Summary.BestChromosome);
Console.WriteLine("Finished. Hit return.");
Console.ReadLine();
}
