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N

name - Variable in class es.udc.gii.common.eaf.log.LogTool
 
neededNodes() - Method in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.GridMigrationTopology
Calculates how many nodes (races) are needed for the current configuration.
NEWER_GENERATION - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.migration.acceptance.GenerationBasedAcceptance
States that only individuals from other processes in a newer generation or in the same generation are going to be considered for inmigration.
next - Variable in class es.udc.gii.common.eaf.algorithm.operator.OperatorChain
Indicates the next operator to be executed.
nextBoolean() - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBytes(byte[]) - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Generates random bytes and places them into a user-supplied byte array.
nextDouble() - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextGaussian() - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextIndex() - Method in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.PopulationMemoryReplaceOperator
 
nextInt() - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextLong() - Static method in class es.udc.gii.common.eaf.util.EAFRandom
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
NO_CHUNK - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
Special value for process with no chunk in chunkIndex.
NO_CHUNK - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.operator.MasterSlaveEvaluationOperator
Special value for process with no chunk in chunkIndex.
NoConstraintsMethod - Class in es.udc.gii.common.eaf.algorithm.evaluate.constraint.methods
 
NoConstraintsMethod() - Constructor for class es.udc.gii.common.eaf.algorithm.evaluate.constraint.methods.NoConstraintsMethod
 
node_id - Static variable in class es.udc.gii.common.eaf.log.LogPattern
 
nodesPerDimension - Variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.GridMigrationTopology
 
nominalConvergence - Variable in class es.udc.gii.common.eaf.algorithm.mga.AbstractMGAAlgorithm
The stop test that states that nominal convergence has been reached for the current micro-evolution.
NONE - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.evaluation.EvaluationTopology
Special return value for EvaluationTopology.getMaster().
NONE - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.operator.MSTopology
Special return value when there is no master.
NOT_DOMINATED - Static variable in class es.udc.gii.common.eaf.util.MOUtil
The individuals are not-dominated by each other.
NOT_INITIALIZED - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
NOT_SPECIFIED - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.evaluation.EvaluationObject
Special value for the source and dest rank when they are not known.
NOT_SPECIFIED - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.migration.MigrationObject
Special value of a generation.
NOT_SPECIFIED - Static variable in class es.udc.gii.common.eaf.algorithm.parallel.topology.operator.MSEnvelope
Special value for the source and dest rank when they are not known.
notifyObservers(int, Object) - Method in class es.udc.gii.common.eaf.algorithm.parallel.evaluation.DistributedEvaluation
 
notifyObservers(int) - Method in class es.udc.gii.common.eaf.algorithm.parallel.migration.MigrationOperator
 
NSGA2Algorithm - Class in es.udc.gii.common.eaf.algorithm
This class implements the NSGA2 algorithm.
NSGA2Algorithm() - Constructor for class es.udc.gii.common.eaf.algorithm.NSGA2Algorithm
 
NSGA2Comparator<T extends NSGA2Individual> - Class in es.udc.gii.common.eaf.algorithm.fitness.comparator
Implements the crowding comparison operator.
NSGA2Comparator() - Constructor for class es.udc.gii.common.eaf.algorithm.fitness.comparator.NSGA2Comparator
 
NSGA2FinalParetoFrontLogTool - Class in es.udc.gii.common.eaf.log.nsga2
Logs the final Pareto-front of an evolution with the NSGA2Algorithm.
NSGA2FinalParetoFrontLogTool() - Constructor for class es.udc.gii.common.eaf.log.nsga2.NSGA2FinalParetoFrontLogTool
 
NSGA2Individual - Class in es.udc.gii.common.eaf.algorithm.population
This class represents an individual for the NSGA2 algorithm.
NSGA2Individual() - Constructor for class es.udc.gii.common.eaf.algorithm.population.NSGA2Individual
 
NSGA2Individual(DoubleArray[]) - Constructor for class es.udc.gii.common.eaf.algorithm.population.NSGA2Individual
 
NSGA2LogTool - Class in es.udc.gii.common.eaf.log.nsga2
 
NSGA2LogTool() - Constructor for class es.udc.gii.common.eaf.log.nsga2.NSGA2LogTool
 
NSGA2ObjectiveValuesStatisticsLogTool - Class in es.udc.gii.common.eaf.log.nsga2
This logtool logs in every generation the minimum, maximun, mean and standard deviation of each objective of the Pareto-front and the whole current population.
NSGA2ObjectiveValuesStatisticsLogTool() - Constructor for class es.udc.gii.common.eaf.log.nsga2.NSGA2ObjectiveValuesStatisticsLogTool
 
NSGA2Ranking - Class in es.udc.gii.common.eaf.plugin.multiobjective
This class has a method which calculates the rank of each individual in a population.
NSGA2Ranking() - Constructor for class es.udc.gii.common.eaf.plugin.multiobjective.NSGA2Ranking
 
NSGA2ReplaceOperator - Class in es.udc.gii.common.eaf.algorithm.operator.replace
The replace operator for the NSGA2Algorithm.
NSGA2ReplaceOperator() - Constructor for class es.udc.gii.common.eaf.algorithm.operator.replace.NSGA2ReplaceOperator
Creates a new instance of MOPReplaceOperator
num_prints - Variable in class es.udc.gii.common.eaf.log.BestFEsLogTool
 
num_prints - Variable in class es.udc.gii.common.eaf.log.cma.CMABestFEsLogTool
 
num_prints - Variable in class es.udc.gii.common.eaf.log.parallel.cma.ParallelCMABestFEsLogTool
 
num_prints - Variable in class es.udc.gii.common.eaf.log.parallel.cma.ParallelCMAFEsLogTool
 
num_prints - Variable in class es.udc.gii.common.eaf.log.parallel.ParallelBestFEsLogTool
 
num_prints - Variable in class es.udc.gii.common.eaf.log.parallel.ParallelFEsLogTool
 
number - Variable in class es.udc.gii.common.eaf.log.parallel.BestIndividualLogTool
 
numberCrossOvers - Variable in class es.udc.gii.common.eaf.algorithm.operator.reproduction.crossover.SBXCrossOver
 
numberOfDimensions - Variable in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.Hypercube
Number of dimensions of the hypercube.
numberOfDivisionsPerDimension - Variable in class es.udc.gii.common.eaf.algorithm.operator.replace.mmga.Hypercube
Number of divisions into which we divide each dimension.
numRuns - Variable in class es.udc.gii.common.eaf.algorithm.CMAEvolutionaryAlgorithm
 

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