Merging MKron branch rev 76

src/eva2/server/go/individuals/AbstractEAIndividual.java

@@ -45,7 +45,7 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
     private boolean 						logParents = true;
     // heritage is to contain a list of all parents of the individual
     private Long[]							parentIDs = null;
-    private AbstractEAIndividual[]			parentTree = null;
+    transient private AbstractEAIndividual[]			parentTree = null;
 
     protected double[]                      m_Fitness               = new double[1];
     private double                          m_ConstraintViolation   = 0;

src/eva2/server/go/problems/SimpleProblemWrapper.java

@@ -221,7 +221,15 @@ public class SimpleProblemWrapper extends AbstractOptimizationProblem {
 	public void hideHideable() {
 		setSimpleProblem(getSimpleProblem());
 	}
+	
+	public void setIndividualTemplate(AbstractEAIndividual indy) {
+		m_Template = indy;
+	}
     
+	public String individualTemplateTipText() {
+		return "Set the individual properties for the optimization";
+	}
+	
 /////////// for GUI
 	
     /** This method returns a string describing the optimization problem.

src/eva2/server/modules/GOParameters.java

@@ -28,7 +28,13 @@ public class GOParameters extends AbstractGOParameters implements InterfaceGOPar
      */
     public static GOParameters getInstance() {
         if (TRACE) System.out.println("GOParameters getInstance 1");
-        GOParameters Instance = (GOParameters) Serializer.loadObject("GOParameters.ser");
+        GOParameters Instance = null;
+        try {
+        	Instance = (GOParameters) Serializer.loadObject("GOParameters.ser");
+        } catch(Exception e) {
+        	System.err.println("Error loading GOParameters!");
+        	Instance = null;
+        }
         if (TRACE) System.out.println("GOParameters getInstance 2");
         if (Instance == null) Instance = new GOParameters();
         return Instance;

src/eva2/server/modules/Processor.java

@@ -139,7 +139,13 @@ public class Processor extends Thread implements InterfaceProcessor, InterfacePo
     		EVAERROR.clearMsgCache();
     		while (isOptRunning()) {
     			setPriority(3);
-    			if (saveParams) goParams.saveInstance();
+    			if (saveParams) {
+    				try {
+    					goParams.saveInstance();
+    				} catch(Exception e) {
+    					System.err.println("Error on saveInstance!");
+    				}
+    			}
     			resPop = optimize("Run");
     			setPriority(1);
     		}

src/eva2/tools/Mathematics.java

@@ -148,16 +148,39 @@ public class Mathematics {
 	 *                 if x and y have different dimensions an exception is
 	 *                 thrown.
 	 */
-	public static double dist(double[] x, double[] y, int root) throws Exception {
+	public static double dist(double[] x, double[] y, int root) {
 		if (x.length != y.length)
-			throw new Exception("The vecotors x and y must have the same dimension");
+			throw new RuntimeException("The vectors x and y must have the same dimension");
-		if (root == 0) throw new Exception("There is no 0-root!");
+		if (root == 0) throw new RuntimeException("There is no 0-root!");
 		double d = 0;
 		for (int i = 0; i < x.length; i++)
 			d += Math.pow(Math.abs(x[i] - y[i]), root);
 		return Math.pow(d, (double) 1 / root);
 	}
 
+	/**
+	 * Computes the euclidian distance function.
+	 *
+	 * @param x
+	 *                a vector
+	 * @param y
+	 *                another vector
+	 * @param root
+	 *                what kind of distance funktion
+	 * @return the distance of x and y
+	 * @throws Exception
+	 *                 if x and y have different dimensions an exception is
+	 *                 thrown.
+	 */
+	public static double euclidianDist(double[] x, double[] y)  {
+		if (x.length != y.length)
+			throw new RuntimeException("The vectors x and y must have the same dimension");
+		double d = 0;
+		for (int i = 0; i < x.length; i++)
+			d += Math.pow(Math.abs(x[i] - y[i]), 2);
+		return Math.sqrt(d);
+	}
+	
 	/**
 	 * Computes the relative distance of vector x to vector y. Therefore the
 	 * difference of x[i] and y[i] is divided by y[i] for every i. If y[i] is