public GeneticAlgorithm(int genomsInGeneration, int generationCount, double mutProb, FirstGenerationGenerator _fgg, CrossoverMethod _cm,
MutationMethod _mm, SelectionMethod _sm, FitnessFunction ff)
{
this.genomLength = ff.GetArity();
this.genomsInGeneration = genomsInGeneration;
this.fgg = _fgg;
this.mutationProbability = mutProb;
this.generationCount = generationCount;
Generation = new List <Path>();
Child = new List <Path>();
Buffer = new List <Path>();
solution = new Path(genomLength);
FitFunc = ff;
this.cm = _cm;
this.mm = _mm;
this.sm = _sm;
}
static void Main(string[] args)
{
FirstGenerationGenerator FGG = new FirstGenerationGenerator();
CrossoverMethod CM = new CrossoverMethod();
MutationMethod MM = new MutationMethod();
SelectionMethod SM = new SelectionMethod();
double mutationProbability = 0;
int genomsInGeneration = 0;
int generationCount = 0;
int option = 0;
System.Console.WriteLine("Enter count of genoms");
genomsInGeneration = Convert.ToInt32(Console.ReadLine());
System.Console.WriteLine("Enter count of generations");
generationCount = Convert.ToInt32(Console.ReadLine());
System.Console.WriteLine("Enter mutation probability");
mutationProbability = Convert.ToDouble(Console.ReadLine());
System.Console.WriteLine("Choose first generatioh generator: 1-Random 2-Nearest neighbor");
option = Convert.ToInt32(Console.ReadLine());
if (option == 1)
{
FGG = FirstGenerationGenerator.Rand;
}
else
if (option == 2)
{
FGG = FirstGenerationGenerator.NearestNeighbor;
}
System.Console.WriteLine("Choose crossover method: 1-OX 2-PMX");
option = Convert.ToInt32(Console.ReadLine());
if (option == 1)
{
CM = CrossoverMethod.OX;
}
else
if (option == 2)
{
CM = CrossoverMethod.PMX;
}
System.Console.WriteLine("Choose mutation method: 1-Inversion 2-Saltation");
option = Convert.ToInt32(Console.ReadLine());
if (option == 1)
{
MM = MutationMethod.Inversion;
}
else
if (option == 2)
{
MM = MutationMethod.Saltation;
}
System.Console.WriteLine("Choose selection method: 1-Tourney 2-Roulette wheel");
option = Convert.ToInt32(Console.ReadLine());
if (option == 1)
{
SM = SelectionMethod.Tourney;
}
else
if (option == 2)
{
SM = SelectionMethod.RouletteWheel;
}
FitnessFunction ff = new FitnessFunction(new Matrix("C:/Users/Ильяс/source/repos/EGA/EGA/m1.txt"));
GeneticAlgorithm ga = new GeneticAlgorithm(genomsInGeneration, generationCount, mutationProbability, FGG, CM, MM, SM, ff);
ga.Run();
System.Console.ReadKey();
}
