A B C D E F G H I J L M N O P R S T U V W X _

S

SAME_GENERATION - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance.GenerationBasedAcceptance
States that only individuals from other processes in the same generation are going to be considered for inmigration.
SBXCrossOver - Class in es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover
This class implements a SBX crossover (Simulated Binary Crossover).
SBXCrossOver() - Constructor for class es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover.SBXCrossOver
Creates a new instance of MOPCrossOver
SBXCrossOver(int) - Constructor for class es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover.SBXCrossOver
 
SECOND_DOMINATES - Static variable in class es.udc.gii.common.eaf.util.MOUtil
The second individual dominates the first one.
select(Population) - Method in class es.udc.gii.common.eaf.algorithm.CMAEvolutionaryAlgorithm
 
select(Population) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
select(Population) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryStrategy
 
select(Population) - Method in class es.udc.gii.common.eaf.algorithm.MacroevolutionaryAlgorithm
 
select(EvolutionaryAlgorithm, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.operator.selection.DeterministicTournamentSelection
 
select(EvolutionaryAlgorithm, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.operator.selection.ExtintionOperator
 
select(EvolutionaryAlgorithm, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.operator.selection.LinearRankingSelection
 
select(EvolutionaryAlgorithm, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.operator.selection.SelectionOperator
 
select(EvolutionaryAlgorithm, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.operator.selection.TournamentSelection
 
select(EvolutionaryAlgorithm, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.operator.selection.UniformSelection
 
select(Population) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
SELECT_STATE - Static variable in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
selectIndividualsForMigration(EvolutionaryAlgorithm, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
Selects the individuals that will be sent to other nodes.
selectionChain - Variable in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
SelectionOperator - Class in es.udc.gii.common.eaf.algorithm.operator.selection
This abstract class represents a selection operator.
SelectionOperator() - Constructor for class es.udc.gii.common.eaf.algorithm.operator.selection.SelectionOperator
 
send(EvaluationObject) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.evaluation.EvaluationTopology
Sends a EvaluationObject to a slave or to the master.
send(MigrationObject) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.MigrationTopology
Sends a MigrationObject to the receivers.
senders - Variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.Topology
The ranks of the processes who send to the process of this object.
SENDING - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
SENT - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
SerialEvaluationStrategy - Class in es.udc.gii.common.eaf.algorithm.evaluate
This clas is an evaluation strategy for a monoprocessor environment.
SerialEvaluationStrategy() - Constructor for class es.udc.gii.common.eaf.algorithm.evaluate.SerialEvaluationStrategy
 
serializeEvalResults - Variable in class es.udc.gii.common.eaf.algorithm.population.Individual
 
serializeGenotype - Variable in class es.udc.gii.common.eaf.algorithm.population.Individual
 
serialVersionUID - Static variable in class es.udc.gii.common.eaf.algorithm.population.MaIndividual
 
setAcceptIndividualsFrom(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance.GenerationBasedAcceptance
Configures the way individuals are accepted.
setBestFitness(double) - Method in class es.udc.gii.common.eaf.algorithm.population.MaIndividual
Sets the best fitness achived by this individual.
setBoundaries() - Method in class es.udc.gii.common.eaf.algorithm.CMAEvolutionaryAlgorithm
 
setBoundaries(double[], double[]) - Method in class es.udc.gii.common.eaf.algorithm.CMAEvolutionaryAlgorithm
 
setCheckBounds(boolean) - Method in class es.udc.gii.common.eaf.problem.Problem
Sets the value of the variable checkBounds.
setChooser(IndividualChooser) - Method in class es.udc.gii.common.eaf.algorithm.operator.evaluate.LocalSearchOperator
 
setChooser(IndividualChooser) - Method in class es.udc.gii.common.eaf.algorithm.operator.reproduction.ColonizationOperator
 
setChromosomeAt(int, double[]) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets a double array chromosome to the current individual at position index.
setChromosomes(DoubleArray[]) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets an array of chromosomes to the current Individual.
setChunk(int, List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
Sets an evaluated chunk in the place where it belongs within the individuals list.
setChunkSize(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
setCMAPopulation() - Method in class es.udc.gii.common.eaf.algorithm.CMAEvolutionaryAlgorithm
 
setCollectStatistics(boolean) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
setComparator(FitnessComparator<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setComparator(FitnessComparator) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
setComparator(FitnessComparator<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets the fitness comparator of this individual.
setComparator(FitnessComparator<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.population.MaIndividual
 
setConstraints(List<Double>) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets the values of the constraint functions evaluate by this individual.
setConstraints(List<Constraint>) - Method in class es.udc.gii.common.eaf.problem.Problem
Sets a new list of constraints.
setCR(double) - Method in class es.udc.gii.common.eaf.algorithm.population.jade.JADEIndividual
 
setCrowding(Crowding) - Method in class es.udc.gii.common.eaf.algorithm.NSGA2Algorithm
Sets the crowding plugin for computing the crowding distances.
setCrowdingDistance(double) - Method in class es.udc.gii.common.eaf.algorithm.population.NSGA2Individual
Sets the crowding distance.
setCRPlugin(Parameter) - Method in class es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.CrossOverScheme
 
setDest(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.evaluation.EvaluationObject
 
setDimension(int[]) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets the dimension of each chromosome of the individual.
setDimension(int[]) - Method in class es.udc.gii.common.eaf.algorithm.population.Population
Sets the dimensions of the chromosomes of all the individuals.
setDimIsPeriodic(boolean[]) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.GridMigrationTopology
Sets if a dimension of the grid is periodic (i.e. the last node an the first are connected) for each dimension.
setDominatedIndividuals(List<NSGA2Individual>) - Method in class es.udc.gii.common.eaf.algorithm.population.NSGA2Individual
Sets the list of individuals dominated by this instance.
setDominationCount(int) - Method in class es.udc.gii.common.eaf.algorithm.population.NSGA2Individual
Sets the number of individuals that dominated this instance.
setEa(EvolutionaryAlgorithm) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setElitism(int) - Method in class es.udc.gii.common.eaf.algorithm.mga.AbstractMGAAlgorithm
Sets the elitism for this algorithm.
setEvalChain(OperatorChain<EvaluationOperator>) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setEvaluationStrategy(EvaluationStrategy) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setEvaluationStrategy(SerialEvaluationStrategy) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
setEvaluationStrategy(EvaluationStrategy) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setF(double) - Method in class es.udc.gii.common.eaf.algorithm.population.jade.JADEIndividual
 
setFEs(int) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setFEs(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setFile(String) - Method in class es.udc.gii.common.eaf.log.LogTool
 
setFinish(boolean) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setFinish(boolean) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setFitness(double) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets the fitness value of the Individual.
setFitness(double) - Method in class es.udc.gii.common.eaf.algorithm.population.MaIndividual
 
setGeneIndex(int) - Method in class es.udc.gii.common.eaf.algorithm.fitness.comparator.MinimizingGeneValueComparator
 
setGeneration(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.MigrationObject
 
setGenerations(int) - Method in class es.udc.gii.common.eaf.stoptest.EvolveGenerationsStopTest
Set the value of the number of generations that the algorithm will run.
setHowMany(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.selection.BestMigration
 
setHypercubeDivisions(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.ParetoFrontReplaceOperator
Estabishes the number of divisions per dimension of the hypercube.
setHypercubeDivisions(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.PopulationMemoryReplaceOperator
Estabishes the number of divisions per dimension of the hypercube.
setImprover(IndividualImprover) - Method in class es.udc.gii.common.eaf.algorithm.operator.evaluate.LocalSearchOperator
 
setIndividuals(List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.Hypercube
Set a new list of individuals.
setIndividuals(List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.evaluation.EvaluationObject
 
setIndividuals(List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.MigrationObject
 
setIndividuals(List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.population.Population
Sets the list of individuals as the current list of individuals.
setInitialized(boolean) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.Topology
 
setInitialSolutions(List<Individual>) - Method in class es.udc.gii.common.eaf.algorithm.mga.AbstractMGAAlgorithm
Sets the initial solutions for the next micro evolution.
setLeftComponent(MigAcceptancePolicy) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance.BinaryAcceptancePolicy
Set the left component of this node.
setLowerBound(double) - Method in class es.udc.gii.common.eaf.plugin.parameter.RandomValue
Sets the lower bound of the range.
setMaxGenerations(StopTest) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setMaximumParetoFrontSize(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.ParetoFrontReplaceOperator
Sets the maximum size of the Pareto front.
setMicrogenerations(int) - Method in class es.udc.gii.common.eaf.algorithm.mga.AbstractMGAAlgorithm
Sets The current amount of micro generations.
setMigAcceptancePolicy(MigAcceptancePolicy) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
setMigCullingStrategy(MigCullingStrategy) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
setMigrationFrequecy(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
setMigrationTopology(MigrationTopology) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
setMigSelectionStrategy(MigSelectionStrategy) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
setNodesPerDimension(int[]) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.GridMigrationTopology
Sets how many nodes will each dimension have.
setNominalConvergence(StopTest) - Method in class es.udc.gii.common.eaf.algorithm.mga.AbstractMGAAlgorithm
Sets the stop test for nominal convergence.
setNumber(int) - Method in class es.udc.gii.common.eaf.log.parallel.BestIndividualLogTool
 
setObjectiveFunctions(List<ObjectiveFunction>) - Method in class es.udc.gii.common.eaf.problem.Problem
Sets a new list of objective functions.
setObjectiveIndex(int) - Method in class es.udc.gii.common.eaf.algorithm.fitness.comparator.MinimizingObjectiveComparator
 
setObjectives(List<Double>) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets the values of the objectives functions evaluate by this individual.
setParameters(Map<String, String>) - Method in class es.udc.gii.common.eaf.log.cma.CMAFEsBestMeanLogTool
 
setParameters(Map<String, String>) - Method in class es.udc.gii.common.eaf.log.cma.CMAFEsToReachValueLogTool
 
setParameters(Map<String, String>) - Method in class es.udc.gii.common.eaf.log.FEsBestMeanLogTool
 
setParameters(Map<String, String>) - Method in class es.udc.gii.common.eaf.log.FEsIndividualLogTool
 
setParetoFront(Population) - Method in class es.udc.gii.common.eaf.algorithm.mga.MMGAAlgorithm
 
setParetoFrontReplaceOperator(ParetoFrontReplaceOperator) - Method in class es.udc.gii.common.eaf.algorithm.mga.MMGAAlgorithm
 
setPendingMigrants(List<MigrationObject>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance.GenerationBasedAcceptance
 
setPopMemSize(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.PopulationMemoryReplaceOperator
Sets the size of the population memory.
setPopulation(Population) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setPopulation(Population) - Method in class es.udc.gii.common.eaf.algorithm.MacroevolutionaryAlgorithm
 
setPopulation(Population) - Method in class es.udc.gii.common.eaf.algorithm.NSGA2Algorithm
 
setPopulation(Population) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setPopulationMemory(Population) - Method in class es.udc.gii.common.eaf.algorithm.mga.MMGAAlgorithm
 
setPopulationMemoryReplaceOperator(PopulationMemoryReplaceOperator) - Method in class es.udc.gii.common.eaf.algorithm.mga.MMGAAlgorithm
 
setPopulationMemorySize(int) - Method in class es.udc.gii.common.eaf.algorithm.mga.MMGAAlgorithm
 
setPopulationSize(int) - Method in class es.udc.gii.common.eaf.config.EAFConfigurationState
 
setProbability(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover.CrossOverOperator
 
setProbability(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.MutationOperator
 
setProblem(Problem) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setProblem(Problem) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setRaces(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.Topology
 
setRank(int) - Method in class es.udc.gii.common.eaf.algorithm.population.NSGA2Individual
Sets the rank of this individual.
setRanking(NSGA2Ranking) - Method in class es.udc.gii.common.eaf.algorithm.NSGA2Algorithm
Sets the plugin used for calculating the rank of each individual.
setReplaceablePartSize(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.PopulationMemoryReplaceOperator
Sets the number of individuals that are to be replaced from the population memory.
setReplaceChain(OperatorChain<ReplaceOperator>) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setReplaceChain(OperatorChain<ReplaceOperator>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setReplacementCycle(int) - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.PopulationMemoryReplaceOperator
Establishes the replacement frequency (in generations) of the population memory.
setReproductionChain(OperatorChain<ReproductionOperator>) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setReproductionChain(OperatorChain<ReproductionOperator>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setRho(Parameter) - Method in class es.udc.gii.common.eaf.algorithm.operator.reproduction.ColonizationOperator
 
setRightComponent(MigAcceptancePolicy) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance.BinaryAcceptancePolicy
Set the right component of this node.
setSelectionChain(OperatorChain<SelectionOperator>) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setSelectionChain(OperatorChain<SelectionOperator>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.ParallelEvolutionaryAlgorithm
 
setSerializeEvalResults(boolean) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
This method controls the behaviour of the serialization of an instance of this class.
setSerializeGenotype(boolean) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
This method controls the behaviour of the serialization of an instance of this class.
setSize(int) - Method in class es.udc.gii.common.eaf.algorithm.population.Population
Sets the size of the population.
setSource(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.evaluation.EvaluationObject
 
setState(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
setState(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
setStopTest(StopTest) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setSurvivor(boolean) - Method in class es.udc.gii.common.eaf.algorithm.population.MaIndividual
Sets if this individual is a survivor.
setSynchronized(boolean) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
If set to true then before receiving the individuals a synchronization of all process within the topology is performed.
setTau(Parameter) - Method in class es.udc.gii.common.eaf.algorithm.operator.reproduction.ColonizationOperator
 
setTopology(EvaluationTopology) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
setUpperBound(double) - Method in class es.udc.gii.common.eaf.plugin.parameter.RandomValue
Sets the upper bound of the range.
setUserTag(String) - Method in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
setViolatedConstraints(int) - Method in class es.udc.gii.common.eaf.algorithm.population.Individual
Sets the number of violated constraints of the Individual.
setWxy(int, int, double) - Method in class es.udc.gii.common.eaf.algorithm.MacroevolutionaryAlgorithm
 
SimpleFactory - Class in es.udc.gii.common.eaf.factory
 
SimpleFactory(String) - Constructor for class es.udc.gii.common.eaf.factory.SimpleFactory
 
SimpleStopTest - Class in es.udc.gii.common.eaf.stoptest
This abstract class implements the interface StopTest.
SimpleStopTest() - Constructor for class es.udc.gii.common.eaf.stoptest.SimpleStopTest
Creates a new instance of SimpleStopTest
size - Variable in class es.udc.gii.common.eaf.algorithm.population.Population
The size of this population.
slave(List<ObjectiveFunction>, List<Constraint>) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
source - Variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.evaluation.EvaluationObject
Rank of the source node.
Specification - Interface in es.udc.gii.common.eaf.algorithm.productTrader.specification
 
state - Variable in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
state - Variable in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
state - Variable in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
statistics - Variable in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
Some statistics: eval time, idle time, total evals, etc.
std_cr - Variable in class es.udc.gii.common.eaf.plugin.parameter.jade.JADECRAdaptiveParameter
 
std_f - Variable in class es.udc.gii.common.eaf.plugin.parameter.jade.JADEFAdaptiveParameter
 
stopTest - Variable in class es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm
 
StopTest - Interface in es.udc.gii.common.eaf.stoptest
This interface represents a stop test.
StopTestPlugin - Class in es.udc.gii.common.eaf.plugin.stoptest
 
StopTestPlugin() - Constructor for class es.udc.gii.common.eaf.plugin.stoptest.StopTestPlugin
 
stopTests - Variable in class es.udc.gii.common.eaf.stoptest.CompositeStopTest
Condicitions' list of a composite stop test.
sumFitnessValue(List<Individual>) - Static method in class es.udc.gii.common.eaf.algorithm.fitness.FitnessUtil
This method recive a list of individuals and return the sum fitness value.
survivor - Variable in class es.udc.gii.common.eaf.algorithm.population.MaIndividual
 
SwapMutation - Class in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation
This class implements a swap mutation operator.
SwapMutation() - Constructor for class es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.SwapMutation
Creates a new instance of SwapMutation
SwapMutation(int) - Constructor for class es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.SwapMutation
 
synchronize() - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.Topology
Synchronizes all processes within this topology.
synchronizedReceive - Variable in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
Synchronize all processes before receiving.

A B C D E F G H I J L M N O P R S T U V W X _