Uses of Class
es.udc.gii.common.eaf.algorithm.EvolutionaryAlgorithm

Packages that use EvolutionaryAlgorithm
es.udc.gii.common.eaf.algorithm   
es.udc.gii.common.eaf.algorithm.mga   
es.udc.gii.common.eaf.algorithm.operator   
es.udc.gii.common.eaf.algorithm.operator.evaluate   
es.udc.gii.common.eaf.algorithm.operator.replace   
es.udc.gii.common.eaf.algorithm.operator.replace.jade   
es.udc.gii.common.eaf.algorithm.operator.replace.mmga   
es.udc.gii.common.eaf.algorithm.operator.reproduction   
es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover   
es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover.real_code   
es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation   
es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de   
es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover   
es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.jade   
es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.mutationStrategy   
es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.real_code   
es.udc.gii.common.eaf.algorithm.operator.selection   
es.udc.gii.common.eaf.algorithm.parallel   
es.udc.gii.common.eaf.algorithm.parallel.migration   
es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance   
es.udc.gii.common.eaf.algorithm.parallel.migration.culling   
es.udc.gii.common.eaf.algorithm.parallel.migration.selection   
es.udc.gii.common.eaf.facade   
es.udc.gii.common.eaf.factory   
es.udc.gii.common.eaf.log   
es.udc.gii.common.eaf.plugin.evaluation   
es.udc.gii.common.eaf.plugin.individual   
es.udc.gii.common.eaf.plugin.parameter   
es.udc.gii.common.eaf.plugin.parameter.jade   
es.udc.gii.common.eaf.plugin.stoptest   
es.udc.gii.common.eaf.stoptest   
es.udc.gii.common.eaf.stoptest.mga   
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm
 

Subclasses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm
 class CMAEvolutionaryAlgorithm
           
 class EvolutionaryStrategy
           
 class GeneticAlgorithm
          Class GeneticAlgorithm Pseudocodigo: Generar P Evaluar P Mientras no se alcanza el objetivo: Seleccionar P' Cruzar P' Mutar P' Evaluar P' Reemplazo
 class MacroevolutionaryAlgorithm
           
 class NSGA2Algorithm
          This class implements the NSGA2 algorithm.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.mga
 

Subclasses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.mga
 class AbstractMGAAlgorithm
          This class implements the generic code for a micro-genetic algorithm.
 class MGAAlgorithm
          This class implements a micro-genetic algorithm as defined by Krishnakumar in "Micro-genetic algorithms for stationary and non-stationary function optimization".
 class MMGAAlgorithm
          This class is an implementation of a micro-genetic algorithm for problems with multiple objectives.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator
 

Methods in es.udc.gii.common.eaf.algorithm.operator with parameters of type EvolutionaryAlgorithm
 java.util.List<Individual> OperatorChain.execute(EvolutionaryAlgorithm algorithm, Population population)
          This method execute all chain's operators in one step over the current algorithm.
 java.util.List<Individual> OperatorChain.executeNext(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
          Execute the next operator in the chain and change the value of next attribute to execute the next operator the next time.
 java.util.List<Individual> Operator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
          Execute this operator over a group of individuals.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.evaluate
 

Methods in es.udc.gii.common.eaf.algorithm.operator.evaluate with parameters of type EvolutionaryAlgorithm
 java.util.List<Individual> LocalSearchOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.replace
 

Methods in es.udc.gii.common.eaf.algorithm.operator.replace with parameters of type EvolutionaryAlgorithm
 java.util.List<Individual> ReplaceOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
protected  java.util.List<Individual> ElitismOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
protected  java.util.List<Individual> ElitismReevaluateOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
protected  java.util.List<Individual> EvolutionaryStrategyReplaceOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
protected  java.util.List<Individual> NSGA2ReplaceOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
protected abstract  java.util.List<Individual> ReplaceOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.replace.jade
 

Methods in es.udc.gii.common.eaf.algorithm.operator.replace.jade with parameters of type EvolutionaryAlgorithm
protected  java.util.List<Individual> JADEEvolutionaryStrategyReplaceOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.replace.mmga
 

Methods in es.udc.gii.common.eaf.algorithm.operator.replace.mmga with parameters of type EvolutionaryAlgorithm
protected  java.util.List<Individual> ParetoFrontReplaceOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
protected  java.util.List<Individual> PopulationMemoryReplaceOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction with parameters of type EvolutionaryAlgorithm
protected  double ReproductionOperator.checkBounds(EvolutionaryAlgorithm ea, double value)
           
 java.util.List<Individual> ColonizationOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover with parameters of type EvolutionaryAlgorithm
protected abstract  java.util.List<Individual> CrossOverOperator.crossOver(EvolutionaryAlgorithm ea, java.util.List<Individual> individuals)
           
protected  java.util.List<Individual> Order1CrossOver.crossOver(EvolutionaryAlgorithm ea, java.util.List<Individual> individuals)
           
protected  java.util.List<Individual> RandomCrossOver.crossOver(EvolutionaryAlgorithm ea, java.util.List<Individual> individuals)
           
protected  java.util.List<Individual> SBXCrossOver.crossOver(EvolutionaryAlgorithm ea, java.util.List<Individual> individuals)
           
 java.util.List<Individual> CrossOverOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover.real_code
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover.real_code with parameters of type EvolutionaryAlgorithm
protected  java.util.List<Individual> BLXCrossOver.crossOver(EvolutionaryAlgorithm ea, java.util.List<Individual> individuals)
           
protected  java.util.List<Individual> FlatCrossOver.crossOver(EvolutionaryAlgorithm ea, java.util.List<Individual> individuals)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation with parameters of type EvolutionaryAlgorithm
protected  java.util.List<Individual> DoubleRandomMutation.mutation(EvolutionaryAlgorithm algorithm, Individual individual)
           
protected  java.util.List<Individual> EvolutionaryStrategyMutation.mutation(EvolutionaryAlgorithm algorithm, Individual individual)
           
protected  java.util.List<Individual> GaussianMutation.mutation(EvolutionaryAlgorithm algorithm, Individual individual)
           
protected  java.util.List<Individual> MOPMutation.mutation(EvolutionaryAlgorithm algorithm, Individual individual)
           
protected abstract  java.util.List<Individual> MutationOperator.mutation(EvolutionaryAlgorithm algorithm, Individual individual)
           
protected  java.util.List<Individual> SwapMutation.mutation(EvolutionaryAlgorithm algorithm, Individual individual)
           
 java.util.List<Individual> MutationOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de with parameters of type EvolutionaryAlgorithm
protected  java.util.List<Individual> DEMutationOperator.mutation(EvolutionaryAlgorithm algorithm, Individual target)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover with parameters of type EvolutionaryAlgorithm
 Individual BinCrossOverScheme.crossOver(EvolutionaryAlgorithm ea, Individual target, Individual v)
           
abstract  Individual CrossOverScheme.crossOver(EvolutionaryAlgorithm ea, Individual target, Individual v)
           
 Individual ExpCrossOverScheme.crossOver(EvolutionaryAlgorithm ea, Individual target, Individual v)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.jade
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.crossover.jade with parameters of type EvolutionaryAlgorithm
 Individual JADEBinCrossOverScheme.crossOver(EvolutionaryAlgorithm ea, Individual target, Individual v)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.mutationStrategy
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.de.mutationStrategy with parameters of type EvolutionaryAlgorithm
 Individual BestDEMutationStrategy.getMutatedIndividual(EvolutionaryAlgorithm algorithm, Individual target)
           
 Individual CurrentToPBestMutationStrategy.getMutatedIndividual(EvolutionaryAlgorithm algorithm, Individual target)
           
abstract  Individual DEMutationStrategy.getMutatedIndividual(EvolutionaryAlgorithm algorithm, Individual target)
           
 Individual RandomDEMutationStrategy.getMutatedIndividual(EvolutionaryAlgorithm algorithm, Individual target)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.real_code
 

Methods in es.udc.gii.common.eaf.algorithm.operator.reproduction.mutation.real_code with parameters of type EvolutionaryAlgorithm
protected  java.util.List<Individual> MichalewiczNonUniformMutation.mutation(EvolutionaryAlgorithm algorithm, Individual individual)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.operator.selection
 

Methods in es.udc.gii.common.eaf.algorithm.operator.selection with parameters of type EvolutionaryAlgorithm
 java.util.List<Individual> DeterministicTournamentSelection.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 java.util.List<Individual> ExtintionOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 java.util.List<Individual> InheritExtintionOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 java.util.List<Individual> SelectionOperator.operate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
protected  Individual DeterministicTournamentSelection.select(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
protected  Individual ExtintionOperator.select(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
protected  Individual LinearRankingSelection.select(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
protected abstract  Individual SelectionOperator.select(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
protected  Individual TournamentSelection.select(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
protected  Individual UniformSelection.select(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.parallel
 

Subclasses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.parallel
 class ParallelEvolutionaryAlgorithm
          This class represents a parallel evolutionary algorithm (PGA).
 

Fields in es.udc.gii.common.eaf.algorithm.parallel declared as EvolutionaryAlgorithm
private  EvolutionaryAlgorithm ParallelEvolutionaryAlgorithm.ea
           
 

Methods in es.udc.gii.common.eaf.algorithm.parallel that return EvolutionaryAlgorithm
 EvolutionaryAlgorithm ParallelEvolutionaryAlgorithm.getEa()
           
 

Methods in es.udc.gii.common.eaf.algorithm.parallel with parameters of type EvolutionaryAlgorithm
 void ParallelEvolutionaryAlgorithm.setEa(EvolutionaryAlgorithm ea)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.parallel.migration
 

Methods in es.udc.gii.common.eaf.algorithm.parallel.migration with parameters of type EvolutionaryAlgorithm
protected  java.util.List<Individual> MigrationOperator.acceptIndividuals(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation, java.util.List<MigrationObject> migrants)
          Returns the individuals that satisfy some criterion (see MigAcceptancePolicy) among those which are received from other nodes.
protected  java.util.List<Individual> MigrationOperator.cullIndividuals(EvolutionaryAlgorithm algorithm, java.util.List<Individual> acceptedIndividuals, java.util.List<Individual> toPopulation)
          Returns the individuals which are to be culled (removed) from the current population considering the individuals which are beeing received and accepted from other nodes.
protected  java.util.List<Individual> MigrationOperator.migrate(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
          Performs migration.
protected  java.util.List<Individual> MigrationOperator.replace(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
          The replace method of ReplaceOperator is overwritten and forced to be final so that no subclass can overwrite it.
protected  MigrationObject MigrationOperator.selectIndividualsForMigration(EvolutionaryAlgorithm algorithm, java.util.List<Individual> toPopulation)
          Selects the individuals that will be sent to other nodes.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance
 

Methods in es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance with parameters of type EvolutionaryAlgorithm
 java.util.List<Individual> BinaryAcceptancePolicy.accept(MigrationObject migrant, EvolutionaryAlgorithm algorithm, java.util.List<Individual> currentPopulation)
          Accepts the individuals that come in a MigrationObject based on some criterion.
 java.util.List<Individual> GenerationBasedAcceptance.accept(MigrationObject migrant, EvolutionaryAlgorithm algorithm, java.util.List<Individual> currentPopulation)
          Accepts the individuals that come in a MigrationObject based on the generation of the sending node.
 java.util.List<Individual> MigAcceptancePolicy.accept(MigrationObject migrant, EvolutionaryAlgorithm algorithm, java.util.List<Individual> currentPopulation)
          Accepts the individuals that come in a MigrationObject based on some criterion.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.parallel.migration.culling
 

Methods in es.udc.gii.common.eaf.algorithm.parallel.migration.culling with parameters of type EvolutionaryAlgorithm
 java.util.List<Individual> MigCullingStrategy.getIndividualsToCull(EvolutionaryAlgorithm algorithm, java.util.List<Individual> migrants, java.util.List<Individual> currentIndividuals)
          Returns the individuals to remove from the current population.
 java.util.List<Individual> WorstCull.getIndividualsToCull(EvolutionaryAlgorithm algorithm, java.util.List<Individual> migrants, java.util.List<Individual> currentIndividuals)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.algorithm.parallel.migration.selection
 

Methods in es.udc.gii.common.eaf.algorithm.parallel.migration.selection with parameters of type EvolutionaryAlgorithm
 java.util.List<Individual> BestMigration.getIndividualsForMigration(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
           
 java.util.List<Individual> MigSelectionStrategy.getIndividualsForMigration(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals)
          Returns th individuals that can migrate to other processes.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.facade
 

Methods in es.udc.gii.common.eaf.facade that return EvolutionaryAlgorithm
 EvolutionaryAlgorithm EAFFacade.createAlgorithm(java.lang.String configFile)
           
 

Methods in es.udc.gii.common.eaf.facade with parameters of type EvolutionaryAlgorithm
 void EAFFacade.resolve(StopTest stopTest, EvolutionaryAlgorithm algorithm)
           
 void EAFFacade.resolve(StopTest stopTest, EvolutionaryAlgorithm algorithm, int maxGen)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.factory
 

Methods in es.udc.gii.common.eaf.factory that return EvolutionaryAlgorithm
abstract  EvolutionaryAlgorithm SimpleFactory.createAlgorithm()
           
 EvolutionaryAlgorithm XMLSimpleFactory.createAlgorithm()
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.log
 

Methods in es.udc.gii.common.eaf.log with parameters of type EvolutionaryAlgorithm
static java.lang.String LogPattern.replace(java.lang.String input, EvolutionaryAlgorithm algorithm, LogTool log)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.plugin.evaluation
 

Methods in es.udc.gii.common.eaf.plugin.evaluation with parameters of type EvolutionaryAlgorithm
 IndividualImprover.Improvement IndividualImprover.improve(EvolutionaryAlgorithm alg, Individual seed)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.plugin.individual
 

Methods in es.udc.gii.common.eaf.plugin.individual with parameters of type EvolutionaryAlgorithm
 Individual BestIndividual.get(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals, Individual reference)
          Returns the best individual chosen from a list of individuals.
 Individual ClosestIndividual.get(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals, Individual reference)
          Returns the closest individual chosen from a list of individuals.
abstract  Individual IndividualChooser.get(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals, Individual reference)
          Returns an individual chosen from a list of individuals.
 Individual RandomIndividual.get(EvolutionaryAlgorithm algorithm, java.util.List<Individual> individuals, Individual reference)
          Returns a random individual chosen from a list of individuals.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.plugin.parameter
 

Methods in es.udc.gii.common.eaf.plugin.parameter with parameters of type EvolutionaryAlgorithm
 double Constant.get(EvolutionaryAlgorithm algorithm)
           
 double LinearAnnealing.get(EvolutionaryAlgorithm algorithm)
           
 double LogAnnealing.get(EvolutionaryAlgorithm algorithm)
           
abstract  double Parameter.get(EvolutionaryAlgorithm algorithm)
           
 double RandomValue.get(EvolutionaryAlgorithm algorithm)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.plugin.parameter.jade
 

Methods in es.udc.gii.common.eaf.plugin.parameter.jade with parameters of type EvolutionaryAlgorithm
 double JADECRAdaptiveParameter.get(EvolutionaryAlgorithm algorithm)
           
 double JADEFAdaptiveParameter.get(EvolutionaryAlgorithm algorithm)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.plugin.stoptest
 

Methods in es.udc.gii.common.eaf.plugin.stoptest with parameters of type EvolutionaryAlgorithm
 int FesPlugin.getCurrent(EvolutionaryAlgorithm algorithm)
          Return the current number of function evaluations excuted by the algorithm
 int GenerationsPlugin.getCurrent(EvolutionaryAlgorithm algorithm)
          Return the current number of generations excuted by the algorithm
abstract  int StopTestPlugin.getCurrent(EvolutionaryAlgorithm algorithm)
           
 int FesPlugin.getMax(EvolutionaryAlgorithm algorithm)
           
 int GenerationsPlugin.getMax(EvolutionaryAlgorithm algorithm)
           
abstract  int StopTestPlugin.getMax(EvolutionaryAlgorithm algorithm)
           
protected  java.util.List<StopTest> StopTestPlugin.getStopTestList(EvolutionaryAlgorithm algorithm)
           
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.stoptest
 

Methods in es.udc.gii.common.eaf.stoptest with parameters of type EvolutionaryAlgorithm
 boolean BestMeanConvergence.isReach(EvolutionaryAlgorithm algorithm)
           
 boolean BitwiseConvergence.isReach(EvolutionaryAlgorithm algorithm)
           
 boolean CompositeStopTest.isReach(EvolutionaryAlgorithm algorithm)
          Test if an algorithm reach the condition represented by this stop test.
 boolean DimensionFEsStopTest.isReach(EvolutionaryAlgorithm algorithm)
          Returns true if the problem had done the number of function evaluations determined by this concrete objective.
 boolean EvolveGenerationsStopTest.isReach(EvolutionaryAlgorithm algorithm)
          Returns true if the problem had done the generation's number determined by this concrete objective.
 boolean MaxFEsStopTest.isReach(EvolutionaryAlgorithm algorithm)
          Returns true if the problem had done the generation's number determined by this concrete objective.
 boolean PerformanceFitnessStopTest.isReach(EvolutionaryAlgorithm algorithm)
          Implements the method isReach.
 boolean StopTest.isReach(EvolutionaryAlgorithm algorithm)
          Returns true if the problem reach the objective.
 

Uses of EvolutionaryAlgorithm in es.udc.gii.common.eaf.stoptest.mga
 

Methods in es.udc.gii.common.eaf.stoptest.mga with parameters of type EvolutionaryAlgorithm
 boolean MicroGenerationsConvergence.isReach(EvolutionaryAlgorithm algorithm)