GA1: Genome class

gistfile1.cs

namespace GeneticAlgorithm
{
    public class Genome
	{
		static Random _random = new Random();
		public static double MutationRate { get; set; }
		public double Fitness { get; set; }
		public int Length { get; private set; }
		public double[] Genes { get; private set; }
		
		public Genome(int length)
		{
			Length = length;
			Genes = new double[length];
			CreateGenes();
		}
		
		public Genome(int length, bool createGenes)
		{
			Length = length;
			Genes = new double[length];
			if (createGenes)
				CreateGenes();
		}
		
		public Genome(ref double[] genes)
		{
			Length = genes.GetLength(0);
			Genes = new double[Length];
			for (int i = 0; i < Length; i++)
				Genes[i] = genes[i];
		}
		
		private void CreateGenes()
		{
			// DateTime d = DateTime.UtcNow;
			for (int i = 0; i < Length; i++)
				Genes[i] = _random.NextDouble();
		}
		
		public void Crossover(ref Genome genome2, out Genome child1, out Genome child2)
		{
			int pos = (int)(_random.NextDouble() * (double)Length);
			child1 = new Genome(Length, false);
			child2 = new Genome(Length, false);
			for (int i = 0; i < Length; i++)
			{
				if (i < pos)
				{
					child1.Genes[i] = Genes[i];
					child2.Genes[i] = genome2.Genes[i];
				}
				else
				{
					child1.Genes[i] = genome2.Genes[i];
					child2.Genes[i] = Genes[i];
				}
			}
		}

		public void Mutate()
		{
			for (int pos = 0; pos < Length; pos++)
			{
				if (_random.NextDouble() < MutationRate)
					Genes[pos] = (Genes[pos] + _random.NextDouble()) / 2.0;
			}
		}

		public void GetValues(ref double[] values)
		{
			for (int i = 0; i < Length; i++)
				values[i] = Genes[i];
		}

		public override string ToString()
		{
			string result = "";
			for (int i = 0; i < Length; i++)
			{
				result += string.Format("{0:F4}", Genes[i]);
			}

			return result;
		}
	}
}