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Minor changes.

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This commit is contained in:
Marcel Kronfeld 2009-03-11 14:18:15 +00:00
parent 08c88a3ed6
commit bcdfe0c400
2 changed files with 16 additions and 14 deletions
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2
src/eva2/server/go/problems/MatlabEvalMediator.java
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@ -146,7 +146,7 @@ public class MatlabEvalMediator {
private void logMPOrSysOut(String msg) {
// System.out.println("Hurz OR");
logMP(msg + "\n");
logMP(msg);
// else System.out.println("MEM has no MP! " + msg);
}

28
src/eva2/server/stat/AbstractStatistics.java
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@ -174,18 +174,20 @@ public abstract class AbstractStatistics implements InterfaceTextListener, Inter
protected void finalizeOutput() {
if (printFinalVerbosity()) printToTextListener("*******\n Runs performed: " + optRunsPerformed + ", reached target " + convergenceCnt + " times with threshold " + m_StatsParams.getConvergenceRateThreshold() + ", rate " + convergenceCnt/(double)m_StatsParams.getMultiRuns() + '\n');
if (printFinalVerbosity()) printToTextListener(" Average function calls: " + (functionCallSum/optRunsPerformed) + "\n");
if (printFinalVerbosity() && (bestIndividualAllover != null)) printToTextListener(" Overall best individual : " + BeanInspector.toString(bestIndividualAllover) + '\n');
if (printFinalVerbosity() && (bestIndividualAllover != null)) printToTextListener(" overall solution data : " + AbstractEAIndividual.getDefaultDataString(bestIndividualAllover) + '\n');
if (printFinalVerbosity() && (bestIndividualAllover != null)) printToTextListener(" overall solution fit : " + BeanInspector.toString(bestIndividualAllover.getFitness()) + '\n');
if (refineMultiRuns && (optRunsPerformed>1) && (meanCollection != null)) {
if (printFinalVerbosity()) printToTextListener("Averaged performance:\n");
for (int i=0; i<meanCollection.size(); i++) divideMean(meanCollection.get(i), optRunsPerformed);
if (printFinalVerbosity()) printToTextListener(refineToText(meanCollection, showAvgIntervals));
}
if ((meanBestOfRunFitness!=null) && (optRunsPerformed>1)) {
Mathematics.svDiv((double)optRunsPerformed, meanBestOfRunFitness, meanBestOfRunFitness);
if (printFinalVerbosity()) {
printToTextListener(" Averaged best run fitness: " + BeanInspector.toString(meanBestOfRunFitness)+"\n");
if (printFinalVerbosity() && (bestIndividualAllover != null)) printToTextListener(" Overall best individual: " + BeanInspector.toString(bestIndividualAllover) + '\n');
if (printFinalVerbosity() && (bestIndividualAllover != null)) printToTextListener(" Overall solution data : " + AbstractEAIndividual.getDefaultDataString(bestIndividualAllover) + '\n');
if (printFinalVerbosity() && (bestIndividualAllover != null)) printToTextListener(" Overall solution fit : " + BeanInspector.toString(bestIndividualAllover.getFitness()) + '\n');
if (optRunsPerformed>1) {
if (meanBestOfRunFitness!=null) {
Mathematics.svDiv((double)optRunsPerformed, meanBestOfRunFitness, meanBestOfRunFitness);
if (printFinalVerbosity()) {
printToTextListener(" Averaged best fitness per run: " + BeanInspector.toString(meanBestOfRunFitness)+"\n");
}
}
if (refineMultiRuns && (meanCollection != null)) {
if (printFinalVerbosity()) printToTextListener(" Averaged performance:\n");
for (int i=0; i<meanCollection.size(); i++) divideMean(meanCollection.get(i), optRunsPerformed);
if (printFinalVerbosity()) printToTextListener(refineToText(meanCollection, showAvgIntervals));
}
}
if (TRACE)
@ -198,7 +200,7 @@ public abstract class AbstractStatistics implements InterfaceTextListener, Inter
resultOut.close();
}
}
public static String refineToText(ArrayList<double[][]> result, int iterationsToShow) {
double[][] mean;
StringBuffer sbuf = new StringBuffer("Iteration\tFun.Calls\tBest\tMean\tWorst\n");