Merging mk branch changes from rev 185, minor cleanup.
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@@ -115,6 +115,13 @@ public class FunctionArea extends DArea implements Serializable {
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drawCircle(c+""+val, position, graphID);
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}
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public void drawCircle(String label, double xPos, double yPos, int graphID) {
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double[] pos = new double[2];
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pos[0]=xPos;
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pos[1]=yPos;
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drawCircle(label, pos, graphID);
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}
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/**
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* Plot a circle icon to the function area which is annotated with a char and
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* a double value. The color corresponds to the color of the graph with given ID
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@@ -763,7 +763,12 @@ public abstract class AbstractEAIndividual implements IndividualInterface, java.
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// if (name.equalsIgnoreCase("Fitness")) return this.getFitness();
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// if (name.equalsIgnoreCase("FitnessArray")) return this.getFitness();
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Object data = m_dataHash.get(name);
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if (data==null) System.err.println("Warning: data key " + name + " unknown!");
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if (data==null) { // Fitness is actually in use... so lets have a minor special treatment
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if (name.compareToIgnoreCase("Fitness")==0) data = getFitness();
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else {
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EVAERROR.errorMsgOnce("Warning: data key " + name + " unknown (pot. multiple errors)!");
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}
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}
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return data;
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}
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@@ -3,9 +3,9 @@ package eva2.server.go.operators.selection.probability;
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import eva2.server.go.populations.Population;
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/** The interface for methods with calculate the selection
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* propability from the fitness values. While the fitness
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* probability from the fitness values. While the fitness
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* is typically to be minimized the selection probability
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* is within [0,1] summs up to one and is to be maximizes.
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* is within [0,1] sums up to one and is to be maximizes.
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* Created by IntelliJ IDEA.
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* User: streiche
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* Date: 30.03.2004
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@@ -22,7 +22,7 @@ public interface InterfaceSelectionProbability {
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/** This method computes the selection probability for each individual
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* in the population. Note: Summed over the complete population the selection
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* probability sums up to one.
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* probability gives one.
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* @param population The population to compute.
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* @param input The name of the input.
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*/
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@@ -30,7 +30,7 @@ public interface InterfaceSelectionProbability {
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/** This method computes the selection probability for each individual
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* in the population. Note: Summed over the complete population the selection
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* probability sums up to one.
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* probability gives one.
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* @param population The population to compute.
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* @param input The name of the input.
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*/
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