Importing release version 322 from old repos

src/javaeva/server/go/problems/F4Problem.java

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+package javaeva.server.go.problems;
+
+import javaeva.server.go.individuals.AbstractEAIndividual;
+import javaeva.server.go.individuals.ESIndividualDoubleData;
+import javaeva.server.go.individuals.InterfaceDataTypeDouble;
+import javaeva.server.go.populations.Population;
+import javaeva.server.go.tools.RandomNumberGenerator;
+
+/**
+ * Created by IntelliJ IDEA.
+ * User: streiche
+ * Date: 01.09.2004
+ * Time: 19:28:33
+ * To change this template use File | Settings | File Templates.
+ */
+public class F4Problem extends F1Problem implements java.io.Serializable {
+
+    public F4Problem() {
+        this.m_Template         = new ESIndividualDoubleData();
+    }
+    public F4Problem(F4Problem b) {
+        //AbstractOptimizationProblem
+        if (b.m_Template != null)
+            this.m_Template         = (AbstractEAIndividual)((AbstractEAIndividual)b.m_Template).clone();
+        //F1Problem
+        if (b.m_OverallBest != null)
+            this.m_OverallBest      = (AbstractEAIndividual)((AbstractEAIndividual)b.m_OverallBest).clone();
+        this.m_ProblemDimension = b.m_ProblemDimension;
+        this.m_Noise            = b.m_Noise;
+        this.m_XOffSet          = b.m_XOffSet;
+        this.m_YOffSet          = b.m_YOffSet;
+        this.m_UseTestConstraint = b.m_UseTestConstraint;        
+    }
+
+    /** This method inits a given population
+     * @param population    The populations that is to be inited
+     */
+    public void initPopulation(Population population) {
+        AbstractEAIndividual tmpIndy;
+
+        this.m_OverallBest = null;
+
+        population.clear();
+
+        ((InterfaceDataTypeDouble)this.m_Template).setDoubleDataLength(this.m_ProblemDimension);
+        double[][] range = new double[this.m_ProblemDimension][2];
+        for (int i = 0; i < range.length; i++) {
+            range[i][0] = -1.28;
+            range[i][1] = 1.28;
+        }
+        ((InterfaceDataTypeDouble)this.m_Template).SetDoubleRange(range);
+
+        for (int i = 0; i < population.getPopulationSize(); i++) {
+            tmpIndy = (AbstractEAIndividual)((AbstractEAIndividual)this.m_Template).clone();
+            tmpIndy.init(this);
+            population.add(tmpIndy);
+        }
+        // population init must be last
+        // it set's fitcalls and generation to zero
+        population.init();
+    }
+
+    /** This method returns a deep clone of the problem.
+     * @return  the clone
+     */
+    public Object clone() {
+        return (Object) new F4Problem(this);
+    }
+
+    /** Ths method allows you to evaluate a double[] to determine the fitness
+     * @param x     The n-dimensional input vector
+     * @return  The m-dimensional output vector.
+     */
+    public double[] doEvaluation(double[] x) {
+        double[] result = new double[1];
+        result[0]     = 0;
+        for (int i = 0; i < x.length-1; i++) {
+            result[0]  += (i+1)*Math.pow(x[i], 4);
+        }
+        return result;
+    }
+
+    /** This method returns a string describing the optimization problem.
+     * @return The description.
+     */
+    public String getStringRepresentationForProblem() {
+        String result = "";
+
+        result += "F4 Quadratic Function with noise:\n";
+        result += "This problem is noisey.\n";
+        result += "Parameters:\n";
+        result += "Dimension   : " + this.m_ProblemDimension +"\n";
+        result += "Noise level : " + this.m_Noise + "\n";
+        result += "Solution representation:\n";
+        //result += this.m_Template.getSolutionRepresentationFor();
+        return result;
+    }
+
+/**********************************************************************************************************************
+ * These are for GUI
+ */
+    /** This method allows the CommonJavaObjectEditorPanel to read the
+     * name to the current object.
+     * @return The name.
+     */
+    public String getName() {
+        return "F4 Problem";
+    }
+
+    /** This method returns a global info string
+     * @return description
+     */
+    public String globalInfo() {
+        return "Quadratic Function with noise.";
+    }
+}