Minor cosmetics.
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@ -1,5 +1,6 @@
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package eva2.server.go.operators.paretofrontmetrics;
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import eva2.gui.BeanInspector;
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import eva2.server.go.individuals.AbstractEAIndividual;
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import eva2.server.go.individuals.ESIndividualDoubleData;
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import eva2.server.go.operators.archiving.ArchivingAllDominating;
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@ -16,6 +17,7 @@ import eva2.server.go.problems.AbstractMultiObjectiveOptimizationProblem;
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public class MetricS implements InterfaceParetoFrontMetric, java.io.Serializable {
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private double[][] m_ObjectiveSpaceRange;
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private static boolean TRACE=false;
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public MetricS() {
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@ -54,13 +56,16 @@ public class MetricS implements InterfaceParetoFrontMetric, java.io.Serializable
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*/
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public double calculateMetricOn(Population pop, AbstractMultiObjectiveOptimizationProblem problem) {
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this.m_ObjectiveSpaceRange = problem.getObjectiveSpaceRange();
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if (TRACE) System.out.println("Border: " + BeanInspector.toString(m_ObjectiveSpaceRange));
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double smetric = this.calculateSMetric(pop, this.m_ObjectiveSpaceRange, this.m_ObjectiveSpaceRange.length);
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double reference = 1;
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for (int i = 0; i < this.m_ObjectiveSpaceRange.length; i++) {
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reference *= (this.m_ObjectiveSpaceRange[i][1] - this.m_ObjectiveSpaceRange[i][0]);
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}
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//System.out.println("SMetric: "+smetric +" Reference: " + reference);
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return ((Math.abs(smetric)/Math.abs(reference))*100);
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double res = ((Math.abs(smetric)/Math.abs(reference))*100);
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if (TRACE) System.out.println("Res is " + res);
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return res;
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}
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// /** This method gives a metric how to evaluate
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@ -76,7 +81,7 @@ public class MetricS implements InterfaceParetoFrontMetric, java.io.Serializable
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// return ((Math.abs(smetric)/Math.abs(reference))*100);
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// }
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/** This method will calucuate the s-metric from a double array of
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/** This method will calculate the s-metric from a double array of
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* fitness cases
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* @param pop Array of fitness cases
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* @param border The border to use when calculating the s-metric.
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@ -98,6 +103,8 @@ public class MetricS implements InterfaceParetoFrontMetric, java.io.Serializable
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}
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// Now we have an archive, lets caluculate the s-metric
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// first extract the fitnesscases from the archive
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if (dim==1) return pop.getBestFitness()[0];
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if (dim > 2) smPop = new Population();
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double[][] f = new double[archive.size()][dim];
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double[] tmpF, redF;
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@ -506,7 +506,7 @@ public abstract class AbstractMultiObjectiveOptimizationProblem extends Abstract
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}
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public double calculateMetric(Population pop) {
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if (pop==null) return Double.NaN;
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if (pop==null || (pop.size()==0)) return Double.NaN;
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return this.m_Metric.calculateMetricOn(pop, this);
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}
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