adding potential fields bot

mampf-scai/StarcraftBot/BW/Unit2.cs

@@ -0,0 +1,35 @@
+
+
+namespace StarcraftBot.BW
+{
+	class Unit
+	{
+		public SWIG.BWAPI.Unit theUnit;
+		public SWIG.BWAPI.Unit theTarget;
+
+		public Unit(SWIG.BWAPI.Unit u)
+		{
+			theUnit = u;
+			theTarget = null;
+		}
+
+		public bool HasTarget()
+		{
+			return (theTarget != null);
+		}
+
+        public void Attack(SWIG.BWAPI.Unit t)
+		{
+			if (t == null && theTarget != null)
+			{
+				theUnit.stop();
+				theTarget = null;
+			}
+			else if (t != null && t != theTarget)
+			{
+				theTarget = t;
+				theUnit.attackUnit(theTarget);
+			}
+		}
+	}
+}

mampf-scai/StarcraftBot/EvolutionaryAlgorithms/Chromosome.cs

@@ -0,0 +1,89 @@
+using System;
+using System.Collections.Generic;
+
+namespace StarcraftBot.EvolutionaryAlgorithms
+{
+
+	/// <summary>
+	/// This class holds a list of genes whose values can be adjusted to solve a specific problem.
+	/// The class also holds the fitness value used to deside how well the Chromosome solves the specific problem.
+	/// @author Thomas Willer Sandberg (http://twsandberg.dk/)
+	/// @version (1.0, January 2011)
+	/// </summary>
+	class Chromosome
+	{ 
+		protected static GaussianRandom GausianRandom = new GaussianRandom();
+
+		public Chromosome()
+		{
+			Gene = new List<float>();
+		}
+
+		public Chromosome(List<float> gene)
+		{
+			Gene = gene;
+		}
+
+		public Chromosome(float[] genesFloat)
+		{
+			Gene = new List<float>();
+
+			SetGene(genesFloat);
+		}
+
+		/// <summary>
+		///  Mutate a randomly number of the genes/values in the current Chromosome with a random number drawn from a Gaussian distribution. with a mean and standard deviation
+		/// </summary>
+		/// <param name="mean"></param>
+		/// <param name="deviation"></param>
+		public void MutateGaussianRandom(float mean, float deviation)
+		{
+			int y = RandomNumber.RandomInt(0, 5);
+			int numberOfRuns = Gene.Count;
+			while (y < numberOfRuns)	
+			{
+				Gene[y] += Convert.ToSingle(GausianRandom.NextGaussian(mean, deviation));
+				y += RandomNumber.RandomInt(1, 5);
+			}
+		}
+
+		/**
+		 * Mutate all the genes/values in the current Chromosome with a random number drawn from a Gaussian distribution. with a mean and standard deviation
+		 * @param float mean
+		 * @param float deviation - standard deviation
+		 */
+		public void MutateGaussian(float mean, float deviation)
+		{
+			int numberOfRuns = Gene.Count;
+
+			for (int y = 0; y < numberOfRuns; y++)
+			{
+				Gene[y] += Convert.ToSingle(GausianRandom.NextGaussian(mean, deviation));//r;
+			}
+		}
+
+		private float FlipFloatRandom(float aFloat)
+		{
+			float r = RandomNumber.RandomInt(0,1);
+			if(r==0)
+				r = -1;
+			return aFloat*r;
+		}
+
+		public void FlipRandomAllWeights()
+		{
+			foreach (float f in Gene)
+				FlipFloatRandom(f);
+		}
+
+		//Properties
+		public void SetGene(float[] genesFloat)
+		{
+			foreach (float f in genesFloat)
+				Gene.Add(f);
+		}
+
+		public List<float> Gene { get; set; }
+		public int Fitness { get; set; }
+	}
+}