diff --git a/src/neural/BattlefieldParameterEvaluator.java b/src/neural/BattlefieldParameterEvaluator.java
index e4bd11e..99fabf6 100644
--- a/src/neural/BattlefieldParameterEvaluator.java
+++ b/src/neural/BattlefieldParameterEvaluator.java
@@ -6,26 +6,21 @@ import java.awt.image.BufferedImage;
 import java.io.File;
 import java.io.IOException;
 import java.util.Random;
-
 import javax.imageio.ImageIO;
-
 import org.encog.engine.network.activation.ActivationSigmoid;
 import org.encog.ml.data.basic.BasicMLData;
 import org.encog.neural.data.basic.BasicNeuralDataSet;
 import org.encog.neural.networks.BasicNetwork;
 import org.encog.neural.networks.layers.BasicLayer;
 import org.encog.neural.networks.training.propagation.resilient.ResilientPropagation;
-
 import robocode.BattleResults;
 import robocode.control.*;
 import robocode.control.events.*;
 
 public class BattlefieldParameterEvaluator {
 	// Minimum allowable battlefield size is 400
-	final static int MINBATTLEFIELDSIZE = 400;
 	final static int MAXBATTLEFIELDSIZE = 4000;
 	// Minimum allowable gun cooling rate is 0.1
-	final static double MINGUNCOOLINGRATE = 0.1;
 	final static double MAXGUNCOOLINGRATE = 10;
 	final static int NUMBATTLEFIELDSIZES = 601;
 	final static int NUMCOOLINGRATES = 501;
@@ -39,7 +34,7 @@ public class BattlefieldParameterEvaluator {
 	static int NdxBattle;
 	static double[] FinalScore1;
 	static double[] FinalScore2;
-	
+
 	public static void main(String[] args) {
 		double[] BattlefieldSize = new double[NUMSAMPLES];
 		double[] GunCoolingRate = new double[NUMSAMPLES];
@@ -66,10 +61,8 @@ public class BattlefieldParameterEvaluator {
 		RobotSetup[] robotSetups = new RobotSetup[2];
 		for (NdxBattle = 0; NdxBattle < NUMSAMPLES; NdxBattle++) {
 			// Choose the battlefield size and gun cooling rate  
-//			BattlefieldSize[NdxBattle] = MAXBATTLEFIELDSIZE * (0.1 + 0.9 * rng.nextDouble());
-			BattlefieldSize[NdxBattle] = rangedRand(rng, MINBATTLEFIELDSIZE, MAXBATTLEFIELDSIZE);
-//			GunCoolingRate[NdxBattle] = MAXGUNCOOLINGRATE * (0.1 + 0.9 * rng.nextDouble());
-			GunCoolingRate[NdxBattle] = rangedRand(rng, MINGUNCOOLINGRATE, MAXGUNCOOLINGRATE);
+			BattlefieldSize[NdxBattle] = MAXBATTLEFIELDSIZE * (0.1 + 0.9 * rng.nextDouble());
+			GunCoolingRate[NdxBattle] = MAXGUNCOOLINGRATE * (0.1 + 0.9 * rng.nextDouble());
 			// Create the battlefield
 			BattlefieldSpecification battlefield = new BattlefieldSpecification((int) BattlefieldSize[NdxBattle],
 					(int) BattlefieldSize[NdxBattle]);
@@ -197,33 +190,4 @@ public class BattlefieldParameterEvaluator {
 			System.out.println("Err> " + e.getError());
 		}
 	}
-	
-
-	
-	/**
-	 * Returns a pseudo-random number between min and max, inclusive. The difference between min and max can be at most
-	 *
-	 * @param min
-	 *            Minimum value
-	 * @param max
-	 *            Maximum value. Must be greater than min.
-	 * @return Double between min and max, inclusive.
-	 * @see java.util.Random#nextDouble(int)
-	 */
-	private static double rangedRand(Random rng, double min, double max) {
-
-		// Make sure the randomizer was initialised
-		if (rng == null)
-			throw new RuntimeException("PRNG not initialised prior to call");
-		
-		// Check for the limit
-		if (Double.valueOf(max - min).isInfinite())
-			throw new RuntimeException("Value od max - min is infinite. Change the range.");
-
-		// nextInt is normally exclusive of the top value, so add 1 to make it inclusive
-		double randomNum = min + (max - min) * rng.nextDouble();
-//		int randomNum = rng.nextDouble((max - min) + 1) + min;
-
-		return randomNum;
-	}	
 }