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| Uses of SolutionSet in jmetal.core |
|---|
| Methods in jmetal.core that return SolutionSet | |
|---|---|
abstract SolutionSet |
Algorithm.execute()
Launches the execution of an specific algorithm. |
SolutionSet |
SolutionSet.union(SolutionSet solutionSet)
Returns a new SolutionSet which is the result of the union
between the current solution set and the one passed as a parameter. |
| Methods in jmetal.core with parameters of type SolutionSet | |
|---|---|
SolutionSet |
SolutionSet.union(SolutionSet solutionSet)
Returns a new SolutionSet which is the result of the union
between the current solution set and the one passed as a parameter. |
| Uses of SolutionSet in jmetal.metaheuristics.abyss |
|---|
| Methods in jmetal.metaheuristics.abyss that return SolutionSet | |
|---|---|
SolutionSet |
AbYSS.execute()
Runs of the AbYSS algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.cellde |
|---|
| Methods in jmetal.metaheuristics.cellde that return SolutionSet | |
|---|---|
SolutionSet |
CellDE.execute()
Runs of the CellDE algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.densea |
|---|
| Methods in jmetal.metaheuristics.densea that return SolutionSet | |
|---|---|
SolutionSet |
DENSEA.execute()
|
| Methods in jmetal.metaheuristics.densea with parameters of type SolutionSet | |
|---|---|
void |
DENSEA.deleteDuplicates(SolutionSet population)
|
| Uses of SolutionSet in jmetal.metaheuristics.dmopso |
|---|
| Methods in jmetal.metaheuristics.dmopso that return SolutionSet | |
|---|---|
SolutionSet |
dMOPSO.execute()
Runs of the dMOPSO algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.fastPGA |
|---|
| Methods in jmetal.metaheuristics.fastPGA that return SolutionSet | |
|---|---|
SolutionSet |
FastPGA.execute()
Runs of the FastPGA algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.gde3 |
|---|
| Methods in jmetal.metaheuristics.gde3 that return SolutionSet | |
|---|---|
SolutionSet |
GDE3.execute()
Runs of the GDE3 algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.ibea |
|---|
| Methods in jmetal.metaheuristics.ibea that return SolutionSet | |
|---|---|
SolutionSet |
IBEA.execute()
Runs of the IBEA algorithm. |
| Methods in jmetal.metaheuristics.ibea with parameters of type SolutionSet | |
|---|---|
void |
IBEA.calculateFitness(SolutionSet solutionSet)
Calculate the fitness for the entire population. |
void |
IBEA.computeIndicatorValuesHD(SolutionSet solutionSet,
double[] maximumValues,
double[] minimumValues)
This structure store the indicator values of each pair of elements |
void |
IBEA.fitness(SolutionSet solutionSet,
int pos)
Calculate the fitness for the individual at position pos |
void |
IBEA.removeWorst(SolutionSet solutionSet)
Update the fitness before removing an individual |
| Uses of SolutionSet in jmetal.metaheuristics.mocell |
|---|
| Methods in jmetal.metaheuristics.mocell that return SolutionSet | |
|---|---|
SolutionSet |
sMOCell2.execute()
Runs of the sMOCell2 algorithm. |
SolutionSet |
sMOCell1.execute()
Runs of the sMOCell1 algorithm. |
SolutionSet |
MOCell.execute()
Execute the algorithm |
SolutionSet |
aMOCell3.execute()
Execute the algorithm |
SolutionSet |
aMOCell2.execute()
Runs of the aMOCell2 algorithm. |
SolutionSet |
aMOCell1.execute()
Runs of the aMOCell1 algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.mochc |
|---|
| Methods in jmetal.metaheuristics.mochc that return SolutionSet | |
|---|---|
SolutionSet |
MOCHC.execute()
Runs of the MOCHC algorithm. |
| Methods in jmetal.metaheuristics.mochc with parameters of type SolutionSet | |
|---|---|
boolean |
MOCHC.equals(SolutionSet solutionSet,
SolutionSet newSolutionSet)
Compares two solutionSets to determine if both are equals |
| Uses of SolutionSet in jmetal.metaheuristics.moead |
|---|
| Methods in jmetal.metaheuristics.moead that return SolutionSet | |
|---|---|
SolutionSet |
pMOEAD.execute()
|
SolutionSet |
MOEAD_DRA.execute()
|
SolutionSet |
MOEAD.execute()
|
SolutionSet |
cMOEAD.execute()
|
| Uses of SolutionSet in jmetal.metaheuristics.nsgaII |
|---|
| Fields in jmetal.metaheuristics.nsgaII declared as SolutionSet | |
|---|---|
SolutionSet |
ssNSGAIIRandom.offspringPopulation_
|
SolutionSet |
ssNSGAIIAdaptive.offspringPopulation_
|
SolutionSet |
NSGAIIRandom.offspringPopulation_
|
SolutionSet |
NSGAIIAdaptive.offspringPopulation_
|
SolutionSet |
ssNSGAIIRandom.population_
|
SolutionSet |
ssNSGAIIAdaptive.population_
|
SolutionSet |
NSGAIIRandom.population_
|
SolutionSet |
NSGAIIAdaptive.population_
|
SolutionSet |
ssNSGAIIRandom.union_
|
SolutionSet |
ssNSGAIIAdaptive.union_
|
SolutionSet |
NSGAIIRandom.union_
|
SolutionSet |
NSGAIIAdaptive.union_
|
| Methods in jmetal.metaheuristics.nsgaII that return SolutionSet | |
|---|---|
SolutionSet |
ssNSGAIIRandom.execute()
|
SolutionSet |
ssNSGAIIAdaptive.execute()
|
SolutionSet |
ssNSGAII.execute()
Runs the ssNSGA-II algorithm. |
SolutionSet |
pNSGAII.execute()
Runs the NSGA-II algorithm. |
SolutionSet |
NSGAIIRandom.execute()
|
SolutionSet |
NSGAIIAdaptive.execute()
|
SolutionSet |
NSGAII.execute()
Runs the NSGA-II algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.omopso |
|---|
| Methods in jmetal.metaheuristics.omopso that return SolutionSet | |
|---|---|
SolutionSet |
OMOPSO.execute()
Runs of the OMOPSO algorithm. |
SolutionSet |
OMOPSO.getLeader()
Gets the leaders of the OMOPSO algorithm |
| Uses of SolutionSet in jmetal.metaheuristics.paes |
|---|
| Methods in jmetal.metaheuristics.paes that return SolutionSet | |
|---|---|
SolutionSet |
PAES.execute()
Runs of the Paes algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.pesa2 |
|---|
| Methods in jmetal.metaheuristics.pesa2 that return SolutionSet | |
|---|---|
SolutionSet |
PESA2.execute()
Runs of the PESA2 algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.randomSearch |
|---|
| Methods in jmetal.metaheuristics.randomSearch that return SolutionSet | |
|---|---|
SolutionSet |
RandomSearch.execute()
Runs the RandomSearch algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.singleObjective.cmaes |
|---|
| Methods in jmetal.metaheuristics.singleObjective.cmaes that return SolutionSet | |
|---|---|
SolutionSet |
CMAES.execute()
|
| Uses of SolutionSet in jmetal.metaheuristics.singleObjective.differentialEvolution |
|---|
| Methods in jmetal.metaheuristics.singleObjective.differentialEvolution that return SolutionSet | |
|---|---|
SolutionSet |
DE.execute()
Runs of the DE algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.singleObjective.evolutionStrategy |
|---|
| Methods in jmetal.metaheuristics.singleObjective.evolutionStrategy that return SolutionSet | |
|---|---|
SolutionSet |
NonElitistES.execute()
Execute the NonElitistES algorithm |
SolutionSet |
ElitistES.execute()
Execute the ElitistES algorithm |
| Uses of SolutionSet in jmetal.metaheuristics.singleObjective.geneticAlgorithm |
|---|
| Methods in jmetal.metaheuristics.singleObjective.geneticAlgorithm that return SolutionSet | |
|---|---|
SolutionSet |
ssGA.execute()
Execute the SSGA algorithm |
SolutionSet |
scGA.execute()
Runs of the scGA algorithm. |
SolutionSet |
pgGA.execute()
Runs the pgGA algorithm. |
SolutionSet |
gGA.execute()
Execute the GGA algorithm |
SolutionSet |
acGA.execute()
Runs of the acGA algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.singleObjective.particleSwarmOptimization |
|---|
| Methods in jmetal.metaheuristics.singleObjective.particleSwarmOptimization that return SolutionSet | |
|---|---|
SolutionSet |
PSO.execute()
Runs of the SMPSO algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.smpso |
|---|
| Methods in jmetal.metaheuristics.smpso that return SolutionSet | |
|---|---|
SolutionSet |
SMPSOhv.execute()
Runs of the SMPSO algorithm. |
SolutionSet |
SMPSO.execute()
Runs of the SMPSO algorithm. |
SolutionSet |
pSMPSO.execute()
Runs of the SMPSO algorithm. |
SolutionSet |
SMPSOhv.getLeader()
Gets the leaders of the SMPSO algorithm |
SolutionSet |
SMPSO.getLeader()
Gets the leaders of the SMPSO algorithm |
SolutionSet |
pSMPSO.getLeader()
Gets the leaders of the SMPSO algorithm |
| Uses of SolutionSet in jmetal.metaheuristics.smsemoa |
|---|
| Methods in jmetal.metaheuristics.smsemoa that return SolutionSet | |
|---|---|
SolutionSet |
SMSEMOA.execute()
Runs the SMS-EMOA algorithm. |
SolutionSet |
FastSMSEMOA.execute()
Runs the FastSMSEMOA algorithm. |
| Uses of SolutionSet in jmetal.metaheuristics.spea2 |
|---|
| Methods in jmetal.metaheuristics.spea2 that return SolutionSet | |
|---|---|
SolutionSet |
SPEA2.execute()
Runs of the Spea2 algorithm. |
| Uses of SolutionSet in jmetal.qualityIndicator |
|---|
| Methods in jmetal.qualityIndicator with parameters of type SolutionSet | |
|---|---|
int |
R2.getBest(SolutionSet set)
Returns the element contributing the most to the R2 |
double |
QualityIndicator.getEpsilon(SolutionSet solutionSet)
Returns the epsilon indicator of solution set |
double |
QualityIndicator.getGD(SolutionSet solutionSet)
Returns the generational distance of solution set |
double |
QualityIndicator.getHypervolume(SolutionSet solutionSet)
Returns the hypervolume of solution set |
double |
QualityIndicator.getIGD(SolutionSet solutionSet)
Returns the inverted generational distance of solution set |
int[] |
R2.getNBest(SolutionSet set,
int N)
Returns the indexes of the N best solutions according to this indicator |
double |
QualityIndicator.getSpread(SolutionSet solutionSet)
Returns the spread of solution set |
int |
R2.getWorst(SolutionSet set)
Returns the element contributing the less to the R2 |
double |
R2.R2(SolutionSet set)
Returns the R2 indicator of a given population, using as a reference point 0, 0. |
double |
R2.R2Without(SolutionSet set,
int index)
Returns the R2 indicator value of a given front |
| Uses of SolutionSet in jmetal.qualityIndicator.fastHypervolume |
|---|
| Subclasses of SolutionSet in jmetal.qualityIndicator.fastHypervolume | |
|---|---|
class |
FastHypervolumeArchive
This class implements a bounded archive based on the hypervolume quality indicator |
| Methods in jmetal.qualityIndicator.fastHypervolume with parameters of type SolutionSet | |
|---|---|
void |
FastHypervolume.computeHVContributions(SolutionSet solutionSet)
Computes the HV contribution of the solutions |
double |
FastHypervolume.computeHypervolume(SolutionSet solutionSet)
|
double |
FastHypervolume.computeHypervolume(SolutionSet solutionSet,
Solution referencePoint)
|
double |
FastHypervolume.get2DHV(SolutionSet solutionSet)
Computes the HV of a solution set. |
| Uses of SolutionSet in jmetal.qualityIndicator.fastHypervolume.wfg |
|---|
| Methods in jmetal.qualityIndicator.fastHypervolume.wfg with parameters of type SolutionSet | |
|---|---|
int |
WFGHV.getLessContributorHV(SolutionSet set)
|
void |
Front.loadFront(SolutionSet solutionSet,
int notLoadingIndex)
|
| Constructors in jmetal.qualityIndicator.fastHypervolume.wfg with parameters of type SolutionSet | |
|---|---|
Front(int numberOfPoints,
int dimension,
SolutionSet solutionSet)
|
|
| Uses of SolutionSet in jmetal.qualityIndicator.util |
|---|
| Methods in jmetal.qualityIndicator.util that return SolutionSet | |
|---|---|
SolutionSet |
MetricsUtil.readNonDominatedSolutionSet(java.lang.String path)
Reads a set of non dominated solutions from a file |
SolutionSet |
MetricsUtil.readSolutionSet(java.lang.String path)
Reads a set of non dominated solutions from a file |
| Methods in jmetal.qualityIndicator.util with parameters of type SolutionSet | |
|---|---|
double[] |
MetricsUtil.hvContributions(SolutionSet[] populations)
Calculates the hv contribution of different populations. |
double[] |
MetricsUtil.hvContributions(SolutionSet archive,
SolutionSet[] populations)
Calculates the hv contribution of different populations. |
double[] |
MetricsUtil.hvContributions(SolutionSet archive,
SolutionSet[] populations)
Calculates the hv contribution of different populations. |
| Uses of SolutionSet in jmetal.util |
|---|
| Subclasses of SolutionSet in jmetal.util | |
|---|---|
class |
NonDominatedSolutionList
This class implements an unbound list of non-dominated solutions |
class |
NonDominatedSolutionList2
This class implements an unbound list of non-dominated solutions |
| Methods in jmetal.util that return SolutionSet | |
|---|---|
SolutionSet |
Spea2Fitness.environmentalSelection(int size)
Gets 'size' elements from a population of more than 'size' elements using for this de enviromentalSelection truncation |
SolutionSet |
Neighborhood.getEightNeighbors(SolutionSet population,
int individual)
Returns a SolutionSet with the North, Sout, East, West,
North-West, South-West, North-East and South-East neighbors solutions of
ratio 0 of a given location into a given SolutionSet. |
SolutionSet |
Neighborhood.getFourNeighbors(SolutionSet solutionSet,
int location)
Returns a SolutionSet with the North, Sout, East and West
neighbors solutions of ratio 0 of a given location into a given
SolutionSet. |
SolutionSet |
Ranking.getSubfront(int rank)
Returns a SolutionSet containing the solutions of a given rank. |
| Methods in jmetal.util with parameters of type SolutionSet | |
|---|---|
void |
Distance.crowdingDistanceAssignment(SolutionSet solutionSet,
int nObjs)
Assigns crowding distances to all solutions in a SolutionSet. |
double[][] |
Distance.distanceMatrix(SolutionSet solutionSet)
Returns a matrix with distances between solutions in a SolutionSet. |
double |
Distance.distanceToSolutionSetInObjectiveSpace(Solution solution,
SolutionSet solutionSet)
Returns the minimum distance from a Solution to a
SolutionSet according to the objective values. |
double |
Distance.distanceToSolutionSetInSolutionSpace(Solution solution,
SolutionSet solutionSet)
Returns the minimum distance from a Solution to a
SolutionSet according to the encodings.variable values. |
SolutionSet |
Neighborhood.getEightNeighbors(SolutionSet population,
int individual)
Returns a SolutionSet with the North, Sout, East, West,
North-West, South-West, North-East and South-East neighbors solutions of
ratio 0 of a given location into a given SolutionSet. |
SolutionSet |
Neighborhood.getFourNeighbors(SolutionSet solutionSet,
int location)
Returns a SolutionSet with the North, Sout, East and West
neighbors solutions of ratio 0 of a given location into a given
SolutionSet. |
int |
Distance.indexToNearestSolutionInSolutionSpace(Solution solution,
SolutionSet solutionSet)
Return the index of the nearest solution in the solution set to a given solution |
void |
AdaptiveGrid.updateGrid(SolutionSet solutionSet)
Updates the grid limits and the grid content adding the solutions contained in a specific SolutionSet. |
void |
AdaptiveGrid.updateGrid(Solution solution,
SolutionSet solutionSet)
Updates the grid limits and the grid content adding a new Solution. |
| Constructors in jmetal.util with parameters of type SolutionSet | |
|---|---|
FPGAFitness(SolutionSet solutionSet,
Problem problem)
Constructor. |
|
Ranking(SolutionSet solutionSet)
Constructor. |
|
Spea2Fitness(SolutionSet solutionSet)
Constructor. |
|
| Uses of SolutionSet in jmetal.util.archive |
|---|
| Subclasses of SolutionSet in jmetal.util.archive | |
|---|---|
class |
AdaptiveGridArchive
This class implements an archive based on an adaptive grid used in PAES |
class |
Archive
This class represents the super class for archive objects. |
class |
CrowdingArchive
This class implements a bounded archive based on crowding distances (as defined in NSGA-II). |
class |
HypervolumeArchive
This class implements a bounded archive based on crowding distances (as defined in NSGA-II). |
class |
R2Archive
This class implements a bounded archive based on crowding distances (as defined in NSGA-II). |
class |
SPEA2DensityArchive
This class implemens a bounded archive based on strength raw fitness (as defined in SPEA2). |
class |
StrengthRawFitnessArchive
This class implements a bounded archive based on strength raw fitness (as defined in SPEA2). |
class |
WFGHypervolumeArchive
This class implements a bounded archive based on crowding distances (as defined in NSGA-II). |
| Uses of SolutionSet in jmetal.util.comparators |
|---|
| Methods in jmetal.util.comparators with parameters of type SolutionSet | |
|---|---|
double |
ViolationThresholdComparator.feasibilityRatio(SolutionSet solutionSet)
Computes the feasibility ratio Return the ratio of feasible solutions |
double |
ViolationThresholdComparator.meanOveralViolation(SolutionSet solutionSet)
Computes the feasibility ratio Return the ratio of feasible solutions |
void |
ViolationThresholdComparator.updateThreshold(SolutionSet set)
Updates the threshold value using the population |
| Uses of SolutionSet in jmetal.util.offspring |
|---|
| Methods in jmetal.util.offspring with parameters of type SolutionSet | |
|---|---|
Solution |
SBXCrossoverOffspring.getOffspring(SolutionSet solutionSet)
|
Solution |
SBXCrossoverAndPolynomialMutationOffspring.getOffspring(SolutionSet solutionSet)
|
Solution |
Offspring.getOffspring(SolutionSet solutionSet)
Return on offspring from a solution set |
Solution |
DifferentialEvolutionOffspringPolynomial.getOffspring(SolutionSet solutionSet)
|
Solution |
BLXAlphaCrossoverOffspring.getOffspring(SolutionSet solutionSet)
|
Solution |
BLXAlphaCrossoverAndPolynomialMutation.getOffspring(SolutionSet solutionSet)
|
Solution |
Offspring.getOffspring(SolutionSet solutionSet1,
int index)
Return on offspring from a solution set and the index of the current individual |
Solution |
DifferentialEvolutionOffspring2.getOffspring(SolutionSet solutionSet,
int index)
|
Solution |
DifferentialEvolutionOffspring.getOffspring(SolutionSet solutionSet,
int index)
|
Solution |
Offspring.getOffspring(SolutionSet solutionSet,
int numberOfParents,
int index,
Selection selectionOperator)
Return on offspring from a solution set, indicating the selection operator |
Solution |
Offspring.getOffspring(SolutionSet solutionSet,
Solution solution)
Return on offspring from a solution set and a given solution |
Solution |
Offspring.getOffspring(SolutionSet solutionSet,
Solution solution,
int index)
|
Solution |
SBXCrossoverOffspring.getOffspring(SolutionSet solutionSet,
SolutionSet archive)
|
Solution |
SBXCrossoverAndPolynomialMutationOffspring.getOffspring(SolutionSet solutionSet,
SolutionSet archive)
|
Solution |
Offspring.getOffspring(SolutionSet solutionSet1,
SolutionSet archive2)
Return on offspring from two solution sets |
Solution |
DifferentialEvolutionOffspringPolynomial.getOffspring(SolutionSet solutionSet,
SolutionSet archive)
|
Solution |
BLXAlphaCrossoverOffspring.getOffspring(SolutionSet solutionSet,
SolutionSet archive)
|
Solution |
BLXAlphaCrossoverAndPolynomialMutation.getOffspring(SolutionSet solutionSet,
SolutionSet archive)
|
Solution |
Offspring.getOffspring(SolutionSet solutionSet1,
SolutionSet solutionSet2,
int index)
|
Solution |
Offspring.getOffspring(SolutionSet solutionSet,
SolutionSet archive,
Solution solution,
int index)
|
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