Class MooCore

java.lang.Object

es.urjc.etsii.grafo.moocore.MooCore

public final class MooCore
extends Object

Static facade for multi-objective mathematical operations.

Method Summary

Modifier and Type	Method	Description
static boolean	anyDominated(double[][] points)
static boolean	anyDominated(double[][] points, boolean[] maximise, boolean keepWeakly)
static double[][]	applyMatricesWithinSets(double[][] points, int[] sets, Function<double[][], double[][]> operation)
static double[]	applyRowsWithinSets(double[][] points, int[] sets, Function<double[][], double[]> operation)
static double[]	applyWithinSets(double[][] points, int[] sets, ToDoubleFunction<double[][]> operation)
static double	approximateHypervolume(double[][] points, double[] reference)
static double	approximateHypervolume(double[][] points, double[] reference, boolean[] maximise, long samples, long seed, HypervolumeApproximation method)
static double	approximateHypervolume(double[][] points, double[] reference, HypervolumeApproximation method)
static double	averageHausdorffDistance(double[][] points, double[][] reference)
static double	averageHausdorffDistance(double[][] points, double[][] reference, boolean[] maximise, int p)
static double	averageHausdorffDistance(double[][] points, double[][] reference, int p)
static double[][]	eaf(double[][] points, int[] sets)
static double[][]	eaf(double[][] points, int[] sets, double[] percentiles)
static double[][]	eafDifference(Dataset left, Dataset right)
static double[][]	eafDifference(Dataset left, Dataset right, EafDifferenceFormat format)
static double[][]	eafDifference(Dataset left, Dataset right, Integer intervals, boolean[] maximise, EafDifferenceFormat format)
static double	epsilonAdditive(double[][] points, double[][] reference)
static double	epsilonAdditive(double[][] points, double[][] reference, boolean[] maximise)
static double	epsilonMultiplicative(double[][] points, double[][] reference)
static double	epsilonMultiplicative(double[][] points, double[][] reference, boolean[] maximise)
static double	exactR2(double[][] points, double[] reference)
static double	exactR2(double[][] points, double[] reference, boolean[] maximise)
static double[][]	filterDominated(double[][] points)
static double[][]	filterDominated(double[][] points, boolean[] maximise, boolean keepWeakly)
static Dataset	filterDominatedWithinSets(Dataset dataset)
static Dataset	filterDominatedWithinSets(Dataset dataset, boolean[] maximise, boolean keepWeakly)
static long[][]	generateIntegerNondominatedSet(int size, int objectives, NondominatedSetShape shape, long seed)
static double[][]	generateNondominatedSet(int size, int objectives, NondominatedSetShape shape, long seed)
static double[][]	generateNondominatedSet(int size, int objectives, NondominatedSetShape shape, RandomGenerator random)
static Dataset	getDataset(String name)
static Path	getDatasetPath(String name)
static Path	getDatasetPath(String name, boolean force, int retries, Duration delay)
static double	hypervolume(double[][] points, double reference)
static double	hypervolume(double[][] points, double[] reference)
static double	hypervolume(double[][] points, double[] reference, boolean[] maximise)
static double[]	hypervolumeContributions(double[][] points, double[] reference)
static double[]	hypervolumeContributions(double[][] points, double[] reference, boolean[] maximise)
static double[]	hypervolumeContributions(double[][] points, double[] reference, boolean[] maximise, boolean ignoreDominated)
static double	hypeWeightedHypervolume(double[][] points, double[] reference, double[] ideal)
static double	hypeWeightedHypervolume(double[][] points, double[] reference, double[] ideal, boolean[] maximise, int samples, long seed, HypeDistribution distribution, double[] mu)
static double	igd(double[][] points, double[][] reference)
static double	igd(double[][] points, double[][] reference, boolean[] maximise)
static double	igdPlus(double[][] points, double[][] reference)
static double	igdPlus(double[][] points, double[][] reference, boolean[] maximise)
static boolean[]	isNondominated(double[][] points)
static boolean[]	isNondominated(double[][] points, boolean[] maximise, boolean keepWeakly)
static boolean[]	isNondominatedWithinSets(double[][] points, int[] sets)
static boolean[]	isNondominatedWithinSets(double[][] points, int[] sets, boolean[] maximise, boolean keepWeakly)
static LargestEafDifference	largestEafDifference(List<Dataset> datasets, double[] reference)
static LargestEafDifference	largestEafDifference(List<Dataset> datasets, double[] reference, boolean[] maximise, int intervals, double[] configuredIdeal)
static LargestEafDifference	largestEafDifference(List<Dataset> datasets, double[] reference, int intervals)
static double[][]	normalise(double[][] points)
static double[][]	normalise(double[][] points, double[] targetRange, double[] lower, double[] upper, boolean[] maximise)
static int[]	paretoRank(double[][] points)
static int[]	paretoRank(double[][] points, boolean[] maximise)
static Dataset	readDataset(InputStream input)
static Dataset	readDataset(Path path)
static double	totalWeightedHypervolume(double[][] points, double[][] rectangles, double[] reference)
static double	totalWeightedHypervolume(double[][] points, double[][] rectangles, double[] reference, boolean[] maximise, double[] ideal, double scaleFactor)
static double	totalWeightedHypervolume(double[][] points, double[][] rectangles, double[] reference, double[] ideal, double scaleFactor)
static VorobevResult	vorobev(double[][] points, int[] sets, double[] reference)
static double	vorobevDeviation(double[][] points, int[] sets, double[] reference)
static double	vorobevDeviation(double[][] points, int[] sets, double[] reference, double[][] configuredExpectation)
static double	weightedHypervolume(double[][] points, double[][] rectangles, double[] reference)
static double	weightedHypervolume(double[][] points, double[][] rectangles, double[] reference, boolean[] maximise)

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

igd

public static double igd(double[][] points,
 double[][] reference)

igd

public static double igd(double[][] points,
 double[][] reference,
 boolean[] maximise)

igdPlus

public static double igdPlus(double[][] points,
 double[][] reference)

igdPlus

public static double igdPlus(double[][] points,
 double[][] reference,
 boolean[] maximise)

averageHausdorffDistance

public static double averageHausdorffDistance(double[][] points,
 double[][] reference,
 int p)

averageHausdorffDistance

public static double averageHausdorffDistance(double[][] points,
 double[][] reference)

averageHausdorffDistance

public static double averageHausdorffDistance(double[][] points,
 double[][] reference,
 boolean[] maximise,
 int p)

epsilonAdditive

public static double epsilonAdditive(double[][] points,
 double[][] reference)

epsilonAdditive

public static double epsilonAdditive(double[][] points,
 double[][] reference,
 boolean[] maximise)

epsilonMultiplicative

public static double epsilonMultiplicative(double[][] points,
 double[][] reference)

epsilonMultiplicative

public static double epsilonMultiplicative(double[][] points,
 double[][] reference,
 boolean[] maximise)

exactR2

public static double exactR2(double[][] points,
 double[] reference)

exactR2

public static double exactR2(double[][] points,
 double[] reference,
 boolean[] maximise)

hypervolume

public static double hypervolume(double[][] points,
 double[] reference)

hypervolume

public static double hypervolume(double[][] points,
 double reference)

hypervolume

public static double hypervolume(double[][] points,
 double[] reference,
 boolean[] maximise)

hypervolumeContributions

public static double[] hypervolumeContributions(double[][] points,
 double[] reference)

hypervolumeContributions

public static double[] hypervolumeContributions(double[][] points,
 double[] reference,
 boolean[] maximise)

hypervolumeContributions

public static double[] hypervolumeContributions(double[][] points,
 double[] reference,
 boolean[] maximise,
 boolean ignoreDominated)

approximateHypervolume

public static double approximateHypervolume(double[][] points,
 double[] reference,
 HypervolumeApproximation method)

approximateHypervolume

public static double approximateHypervolume(double[][] points,
 double[] reference)

approximateHypervolume

public static double approximateHypervolume(double[][] points,
 double[] reference,
 boolean[] maximise,
 long samples,
 long seed,
 HypervolumeApproximation method)

isNondominated

public static boolean[] isNondominated(double[][] points)

isNondominated

public static boolean[] isNondominated(double[][] points,
 boolean[] maximise,
 boolean keepWeakly)

anyDominated

public static boolean anyDominated(double[][] points)

anyDominated

public static boolean anyDominated(double[][] points,
 boolean[] maximise,
 boolean keepWeakly)

filterDominated

public static double[][] filterDominated(double[][] points)

filterDominated

public static double[][] filterDominated(double[][] points,
 boolean[] maximise,
 boolean keepWeakly)

isNondominatedWithinSets

public static boolean[] isNondominatedWithinSets(double[][] points,
 int[] sets,
 boolean[] maximise,
 boolean keepWeakly)

isNondominatedWithinSets

public static boolean[] isNondominatedWithinSets(double[][] points,
 int[] sets)

filterDominatedWithinSets

public static Dataset filterDominatedWithinSets(Dataset dataset,
 boolean[] maximise,
 boolean keepWeakly)

filterDominatedWithinSets

public static Dataset filterDominatedWithinSets(Dataset dataset)

paretoRank

public static int[] paretoRank(double[][] points)

paretoRank

public static int[] paretoRank(double[][] points,
 boolean[] maximise)

normalise

public static double[][] normalise(double[][] points)

normalise

public static double[][] normalise(double[][] points,
 double[] targetRange,
 double[] lower,
 double[] upper,
 boolean[] maximise)

generateNondominatedSet

public static double[][] generateNondominatedSet(int size,
 int objectives,
 NondominatedSetShape shape,
 long seed)

generateNondominatedSet

public static double[][] generateNondominatedSet(int size,
 int objectives,
 NondominatedSetShape shape,
 RandomGenerator random)

generateIntegerNondominatedSet

public static long[][] generateIntegerNondominatedSet(int size,
 int objectives,
 NondominatedSetShape shape,
 long seed)

eaf

public static double[][] eaf(double[][] points,
 int[] sets)

eaf

public static double[][] eaf(double[][] points,
 int[] sets,
 double[] percentiles)

eafDifference

public static double[][] eafDifference(Dataset left,
 Dataset right,
 Integer intervals,
 boolean[] maximise,
 EafDifferenceFormat format)

eafDifference

public static double[][] eafDifference(Dataset left,
 Dataset right)

eafDifference

public static double[][] eafDifference(Dataset left,
 Dataset right,
 EafDifferenceFormat format)

vorobev

public static VorobevResult vorobev(double[][] points,
 int[] sets,
 double[] reference)

vorobevDeviation

public static double vorobevDeviation(double[][] points,
 int[] sets,
 double[] reference)

vorobevDeviation

public static double vorobevDeviation(double[][] points,
 int[] sets,
 double[] reference,
 double[][] configuredExpectation)

weightedHypervolume

public static double weightedHypervolume(double[][] points,
 double[][] rectangles,
 double[] reference)

weightedHypervolume

public static double weightedHypervolume(double[][] points,
 double[][] rectangles,
 double[] reference,
 boolean[] maximise)

totalWeightedHypervolume

public static double totalWeightedHypervolume(double[][] points,
 double[][] rectangles,
 double[] reference,
 double[] ideal,
 double scaleFactor)

totalWeightedHypervolume

public static double totalWeightedHypervolume(double[][] points,
 double[][] rectangles,
 double[] reference,
 boolean[] maximise,
 double[] ideal,
 double scaleFactor)

totalWeightedHypervolume

public static double totalWeightedHypervolume(double[][] points,
 double[][] rectangles,
 double[] reference)

hypeWeightedHypervolume

public static double hypeWeightedHypervolume(double[][] points,
 double[] reference,
 double[] ideal,
 boolean[] maximise,
 int samples,
 long seed,
 HypeDistribution distribution,
 double[] mu)

hypeWeightedHypervolume

public static double hypeWeightedHypervolume(double[][] points,
 double[] reference,
 double[] ideal)

largestEafDifference

public static LargestEafDifference largestEafDifference(List<Dataset> datasets,
 double[] reference,
 int intervals)

largestEafDifference

public static LargestEafDifference largestEafDifference(List<Dataset> datasets,
 double[] reference)

largestEafDifference

public static LargestEafDifference largestEafDifference(List<Dataset> datasets,
 double[] reference,
 boolean[] maximise,
 int intervals,
 double[] configuredIdeal)

applyWithinSets

public static double[] applyWithinSets(double[][] points,
 int[] sets,
 ToDoubleFunction<double[][]> operation)

applyRowsWithinSets

public static double[] applyRowsWithinSets(double[][] points,
 int[] sets,
 Function<double[][], double[]> operation)

applyMatricesWithinSets

public static double[][] applyMatricesWithinSets(double[][] points,
 int[] sets,
 Function<double[][], double[][]> operation)

readDataset

public static Dataset readDataset(Path path)
                           throws IOException

Throws:

IOException

readDataset

public static Dataset readDataset(InputStream input)
                           throws IOException

Throws:

IOException

getDataset

public static Dataset getDataset(String name)
                          throws IOException

Throws:

IOException

getDatasetPath

public static Path getDatasetPath(String name)
                           throws IOException

Throws:

IOException

getDatasetPath

public static Path getDatasetPath(String name,
 boolean force,
 int retries,
 Duration delay)
                           throws IOException

Throws:

IOException