Updating clustering HC
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@ -33,7 +33,8 @@ import eva2.tools.Pair;
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* @author mkron
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* @author mkron
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*
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*
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*/
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*/
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public class ClusteringHillClimbing implements InterfacePopulationChangedEventListener, InterfaceOptimizer, Serializable, InterfaceAdditionalPopulationInformer {
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public class ClusteringHillClimbing implements InterfacePopulationChangedEventListener,
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InterfaceOptimizer, Serializable, InterfaceAdditionalPopulationInformer {
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transient private InterfacePopulationChangedEventListener m_Listener;
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transient private InterfacePopulationChangedEventListener m_Listener;
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public static final boolean TRACE = false;
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public static final boolean TRACE = false;
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@ -60,6 +61,12 @@ public class ClusteringHillClimbing implements InterfacePopulationChangedEventLi
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hideHideable();
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hideHideable();
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}
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}
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public ClusteringHillClimbing(int initialPopSize, PostProcessMethod lsMethod) {
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this();
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setInitialPopSize(initialPopSize);
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setLocalSearchMethod(lsMethod);
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}
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public ClusteringHillClimbing(ClusteringHillClimbing other) {
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public ClusteringHillClimbing(ClusteringHillClimbing other) {
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hideHideable();
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hideHideable();
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m_Population = (Population)other.m_Population.clone();
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m_Population = (Population)other.m_Population.clone();
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@ -270,7 +277,7 @@ public class ClusteringHillClimbing implements InterfacePopulationChangedEventLi
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public void freeWilly() {}
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public void freeWilly() {}
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public String getName() {
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public String getName() {
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return "Clustering-HC";
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return "ClustHC-"+initialPopSize+"-"+localSearchMethod;
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}
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}
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public static String globalInfo() {
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public static String globalInfo() {
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@ -419,15 +426,15 @@ public class ClusteringHillClimbing implements InterfacePopulationChangedEventLi
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}
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}
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public String[] getAdditionalDataHeader() {
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public String[] getAdditionalDataHeader() {
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return new String[]{"numIndies"};
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return new String[]{"numIndies", "sigma", "numArchived", "archivedMeanDist"};
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}
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}
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public String[] getAdditionalDataInfo() {
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public String[] getAdditionalDataInfo() {
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return new String[]{"The current population size"};
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return new String[]{"The current population size", "Current step size in case of stochastic HC", "Number of archived solutions", "Mean distance of archived solutions"};
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}
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}
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public Object[] getAdditionalDataValue(PopulationInterface pop) {
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public Object[] getAdditionalDataValue(PopulationInterface pop) {
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return new Object[]{m_Population.size()};
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return new Object[]{m_Population.size(), mutator.getSigma(), archive.size(), archive.getPopulationMeasures()[0]};
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}
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}
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public boolean isDoReinitialization() {
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public boolean isDoReinitialization() {
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