- save(String) - Static method in class jenes.performance.PerformanceStatistics
-
- save(String) - Method in class jenes.performance.Statistics
-
- save() - Method in class jenes.statistics.StatisticsLogger
-
Saves the undelying logger.
- save() - Method in class jenes.utils.AbstractLogger
-
Saves cached records on media.
- scale(Population<T>) - Method in class jenes.stage.operator.common.ProportionalScaling
-
- scale(Population<T>) - Method in class jenes.stage.operator.common.RankScaling
-
- scale(Population<T>) - Method in class jenes.stage.operator.common.TopScaling
-
- scale(Population<T>) - Method in class jenes.stage.operator.Scaling
-
Method used to scale the fitness of indivduals belonging to given Population
- Scaling<T extends Chromosome> - Class in jenes.stage.operator
-
This class of operators performs fitness scaling.
- Scaling() - Constructor for class jenes.stage.operator.Scaling
-
Constructor
- Schaffer - Class in jenes.tutorials.problem12
-
The Schaffer function
- Schaffer() - Constructor for class jenes.tutorials.problem12.Schaffer
-
- schema - Variable in class jenes.utils.AbstractLogger
-
The statistics schema
- select(List<Individual<T>>) - Method in class jenes.stage.operator.common.RouletteWheelSelector
-
- select(List<Individual<T>>) - Method in class jenes.stage.operator.common.TournamentSelector
-
- select(List<Individual<T>>) - Method in class jenes.stage.operator.Selector
-
Selects an individual in the filtered population
- select(Population<T>) - Method in class jenes.stage.operator.Selector
-
Selects an individual in the population
- selectionFactor - Variable in class jenes.stage.operator.common.MultiNicheCrowder
-
Selection factor
- selections - Variable in class jenes.stage.operator.Selector.Statistics
-
Number of selectionRate performed.
- selector - Variable in class jenes.stage.operator.common.DeJongCrowder
-
The selctor used
- selector - Variable in class jenes.stage.operator.common.MultiNicheCrowder
-
Selector operator
- selector - Variable in class jenes.stage.operator.common.SteadyState
-
Selector
- Selector<T extends Chromosome> - Class in jenes.stage.operator
-
A class representing a generic selection operator.
- Selector() - Constructor for class jenes.stage.operator.Selector
-
Constructs a new Selector operator.
- Selector(int) - Constructor for class jenes.stage.operator.Selector
-
Constructs a new Selector operator, specifying the number of individuals to select.
- Selector.Statistics - Class in jenes.stage.operator
-
A statistics object holding the number of selection performed and the time spent to execute them.
- Selector.Statistics() - Constructor for class jenes.stage.operator.Selector.Statistics
-
- Sequence<T extends Chromosome> - Class in jenes.stage
-
A sequence is like a "pipe" of other stages.
- Sequence() - Constructor for class jenes.stage.Sequence
-
Constructs a new sequence stage.
- serror(Individual) - Static method in class jenes.tutorials.problem8.NumericCrossover
-
- setAlgorithm(GeneticAlgorithm) - Method in class jenes.utils.multitasking.Runner
-
Set the Genetic Algorithm to the runner.
- setAlleleSet(AlleleSet) - Method in class jenes.chromosome.ObjectChromosome.Gene
-
Sets the alleleSet of this Gene
- setAllIslands(GeneticAlgorithm<T>) - Method in class jenes.algorithms.IslandGA
-
Sets the algorithm for all islands
- setAs(BitwiseChromosome) - Method in class jenes.chromosome.BitwiseChromosome
-
Sets this chromosome as a copy of another.
- setAs(BooleanChromosome) - Method in class jenes.chromosome.BooleanChromosome
-
- setAs(T) - Method in interface jenes.chromosome.Chromosome
-
Makes the chromosome a copy of another chromosome.
- setAs(DoubleChromosome) - Method in class jenes.chromosome.DoubleChromosome
-
- setAs(IntegerChromosome) - Method in class jenes.chromosome.IntegerChromosome
-
- setAs(ObjectChromosome) - Method in class jenes.chromosome.ObjectChromosome
-
- setAs(PermutationChromosome) - Method in class jenes.chromosome.PermutationChromosome
-
- setAs(Individual<T>) - Method in class jenes.population.Individual
-
Sets this Individual as the specified one.
- setAs(Individual<T>, boolean) - Method in class jenes.population.Individual
-
Sets this Individual's genome equal
to the specified Individual's one
- setAs(Population<T>) - Method in class jenes.population.Population
-
Sets this population as the specified one.
- setAvailability(int) - Method in class jenes.population.Pool
-
Resizes the pool.
- setBiggerIsBetter(boolean) - Method in class jenes.algorithms.IslandGA
-
- setBiggerIsBetter(boolean) - Method in class jenes.GeneticAlgorithm
-
Deprecated.
- setBiggerIsBetter(boolean) - Method in class jenes.stage.AbstractStage
-
Deprecated.
deprecated due to the use of Fitness. In next releasese this method will be removed
Sets if the best individuals have the higher fitness or not.
For maximization, this property is set to true;
for minimization, this property is set to false.
This setting is propagated down to every sub-stage the stage is made of.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.AbstractStage
-
Deprecated.
deprecated due to the use of Fitness. In next releasese this method will be removed
Sets if the best individuals have the higher fitness or not.
This setting can be or not propagated down to sub-stages.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.AlgorithmStage
-
Deprecated.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.operator.common.DeJongCrowder
-
Deprecated.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.operator.common.DeterministicCrowder
-
Deprecated.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.operator.common.SteadyState
-
Deprecated.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.operator.Crowder
-
Deprecated.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.Parallel
-
Deprecated.
- setBiggerIsBetter(boolean, boolean) - Method in class jenes.stage.Sequence
-
Deprecated.
- setBitValueAt(int, int) - Method in class jenes.chromosome.BitwiseChromosome
-
Sets the bit at a given position.
- setBranch(int, AbstractStage<T>) - Method in class jenes.stage.Parallel
-
Sets the specified stage at the specified branch number replacing the
stage already present
- setCapacity(double) - Method in class jenes.tutorials.old.problem6.KnapsackGA
-
- setCapacity(double) - Method in class jenes.tutorials.old.problem6.KnapsackProblem
-
- setCapacity(double) - Method in class jenes.tutorials.old.problem7.KnapsackLoggedProblem
-
- setCapacity(double) - Method in class jenes.tutorials.problem6.KnapsackGA
-
- setCapacity(double) - Method in class jenes.tutorials.problem6.KnapsackProblem
-
- setCapacity(double) - Method in class jenes.tutorials.problem7.KnapsackLoggedProblem
-
- setChromosome(T) - Method in class jenes.population.Individual
-
Sets the Individual's genome
- setCollectable(boolean) - Method in class jenes.population.Population.Statistics.Group
-
Sets if the group must collect individuals
- setCrossoverProbability(double) - Method in class jenes.algorithms.SimpleGA
-
Sets the crossover probability.
- setCrowdingFactor(int) - Method in class jenes.stage.operator.common.DeJongCrowder
-
Sets the crouding factor
- setCrowdingFactor(int) - Method in class jenes.stage.operator.common.MultiNicheCrowder
-
Sets the crowding factor
- setDefaultPool(Pool<?>) - Static method in class jenes.population.Population
-
Sets the default poll
- setDefaultValue(boolean) - Method in class jenes.chromosome.BooleanChromosome
-
Sets the default value of this chromosome
- setDefaultValue(double) - Method in class jenes.chromosome.DoubleChromosome
-
Sets the default value of this chromosome
- setDefaultValue(int) - Method in class jenes.chromosome.IntegerChromosome
-
Sets the default value of this chromosome
- setDefaultValue(Object) - Method in class jenes.chromosome.ObjectChromosome
-
Sets the default value of this chromosome.
- setDefaultValueAt(int) - Method in class jenes.chromosome.BitwiseChromosome
-
Sets the default bit value at the a given position
- setDefaultValueAt(int) - Method in class jenes.chromosome.BooleanChromosome
-
- setDefaultValueAt(int) - Method in interface jenes.chromosome.Chromosome
-
Sets the default value at a given position
- setDefaultValueAt(int) - Method in class jenes.chromosome.DoubleChromosome
-
- setDefaultValueAt(int) - Method in class jenes.chromosome.IntegerChromosome
-
- setDefaultValueAt(int) - Method in class jenes.chromosome.ObjectChromosome
-
- setDefaultValueAt(int) - Method in class jenes.chromosome.PermutationChromosome
-
Sets the default value at the specified position.
- setDifferences(double[][]) - Method in class jenes.chromosome.GenericAlleleSet
-
Sets the difference matrix between alleles.
- setElitism(int) - Method in class jenes.algorithms.IslandGA
-
Sets the elitism for all the islands
- setElitism(int) - Method in class jenes.GeneticAlgorithm
-
Sets the number of individuals considered for elitism by the genetic
algorithm.
- setElitismStrategy(GeneticAlgorithm.ElitismStrategy) - Method in class jenes.GeneticAlgorithm
-
Sets the elitism strategy to used by this genetic algorithm.
- setElitist(boolean) - Method in class jenes.stage.operator.Crowder
-
Sets the crowder elistism.
- setEvaluatedBy(Fitness) - Method in class jenes.population.Population
-
Specify the fitness that has scored population
- setFitness(Fitness) - Method in class jenes.GeneticAlgorithm
-
- setFitness(Fitness<T>) - Method in class jenes.stage.AbstractStage
-
Change the
Fitness to this stage propagating the change recursively
- setFitness(Fitness<T>, boolean) - Method in class jenes.stage.AbstractStage
-
Change the
Fitness to this stage propagating the change recursively
according to the flag given as parameter
- setFitness(Fitness, boolean) - Method in class jenes.stage.AlgorithmStage
-
- setFitness(Fitness, boolean) - Method in class jenes.stage.operator.common.DeJongCrowder
-
XXX
- setFitness(Fitness, boolean) - Method in class jenes.stage.operator.Crowder
-
- setFitness(Fitness, boolean) - Method in class jenes.stage.Parallel
-
- setFitness(Fitness, boolean) - Method in class jenes.stage.Sequence
-
- setForce(boolean) - Method in class jenes.stage.Evaluator
-
Sets the value of force.
- setFraction(double) - Method in class jenes.stage.operator.common.TopScaling
-
Sets the fraction of individuals to consider.
- setFullEvaluationForced(boolean) - Method in class jenes.GeneticAlgorithm
-
Sets the evalaution mode.
- setGene(int, Object) - Method in class jenes.chromosome.ObjectChromosome
-
Sets the specified value at the specified position
- setGenerationLimit(int) - Method in class jenes.GeneticAlgorithm
-
Sets the generation limit
- setGeography(IslandGA.Graph) - Method in class jenes.algorithms.IslandGA
-
Sets the topology
- setHistorySize(int) - Method in class jenes.GeneticAlgorithm
-
Sets the history size, that is the number of populations kept by history.
- setIndividual(Individual<T>, int) - Method in class jenes.population.Population
-
Deprecated.
- setIndividualAs(int, Individual<T>) - Method in class jenes.population.Population
-
Sets the Individual at the specified position equal
to the specified one
- setIntValueAt(int, int) - Method in class jenes.chromosome.BitwiseChromosome
-
Sets the int value at the specified position
- setIsland(int, GeneticAlgorithm<T>) - Method in class jenes.algorithms.IslandGA
-
Sets the algorithm for a specific island
- setLegal(boolean) - Method in class jenes.population.Individual
-
Sets the legal state of this individual
- setLine(int) - Method in class jenes.utils.XLSLogger
-
Sets the current recording row at a specified value.
- setLink(int, int, boolean) - Method in class jenes.algorithms.IslandGA.Graph
-
Sets a link between two nodes
- setMaxIllegalRate(double) - Method in class jenes.algorithms.SimpleGA
-
Sets the max rate of illegal individuals.
- setMaxIllegalRate(double) - Method in class jenes.stage.operator.Selector
-
Sets the max number of illegal individuals this selector operator can select.
- setMemory(int) - Method in class jenes.population.Pool.Statistics
-
Sets the new lookback memory
- setMigration(int) - Method in class jenes.algorithms.IslandGA
-
Sets the migration rate
- setMutationProbability(double) - Method in class jenes.algorithms.SimpleGA
-
Sets the mutation probability.
- setName(String) - Method in class jenes.tutorials.problem13.Student
-
- setNiches(int) - Method in class jenes.algorithms.IslandGA
-
Sets the number of niches
- setNotEvaluated() - Method in class jenes.population.Individual
-
Sets this individual as not evaluated.
- setParams(String, int) - Static method in class jenes.performance.PerformanceStatistics
-
- setPool(Pool<T>) - Method in class jenes.population.Population
-
Sets the
Pool for this population.
- setPrecision(int) - Method in class jenes.tutorials.old.problem2.PatternGA
-
- setPrecision(int) - Method in class jenes.tutorials.problem2.PatternGA.PatternFitness
-
- setProbability(double) - Method in class jenes.stage.operator.Crossover
-
Sets the crossover probability
- setProbability(double) - Method in class jenes.stage.operator.Mutator
-
Sets the mutator probability
- setQuantity(int) - Method in class jenes.stage.operator.common.TopScaling
-
Sets the number of top individuals to consider.
- setRandom() - Method in class jenes.stage.operator.common.HeuristicCrossover
-
Sets the ratio random
- setRandom() - Method in class jenes.stage.operator.common.IntermediateCrossover
-
Sets the ratio random
- setRandomization(boolean) - Method in class jenes.GeneticAlgorithm
-
Sets the randomization rate to 0 or 1, according to the flag.
- setRandomization(double) - Method in class jenes.GeneticAlgorithm
-
Sets the randomization rate.
- setRandomSeed(long) - Method in class jenes.GeneticAlgorithm
-
Impose
Random seed in order to reproduce an execution producing
the same enviroinment
- setRange(int, int) - Method in enum jenes.tutorials.problem13.Day
-
- setRatio(double) - Method in class jenes.stage.operator.common.HeuristicCrossover
-
Sets the ratio
- setRatio(double) - Method in class jenes.stage.operator.common.IntermediateCrossover
-
Sets the ratio
- setReplacement(IslandGA.ReplacementStrategy) - Method in class jenes.algorithms.IslandGA
-
Sets the replacement stategy
- setReplacementFactor(int) - Method in class jenes.stage.operator.common.MultiNicheCrowder
-
Sets the replacement factor
- setReplacementPolicy(SteadyState.ReplacementStrategy) - Method in class jenes.stage.operator.common.SteadyState
-
Sets the replacement policy
- setReplacementRate(int) - Method in class jenes.stage.operator.common.SteadyState
-
Sets the replacement rate
- setResizeStrategy(GeneticAlgorithm.ResizeStrategy) - Method in class jenes.GeneticAlgorithm
-
Sets the resize stragety.
- setRunner(Runner) - Method in class jenes.GeneticAlgorithm
-
- setSameChromosomeSameFitness(boolean) - Static method in class jenes.population.Individual
-
Set to true if individual with the same chromosome must have also the same fitness (if evaluated),
false otherwise
- setScore(double...) - Method in class jenes.population.Individual
-
Sets the Individual's fitness value.
- setScore(double, int) - Method in class jenes.population.Individual
-
Set the score at specific position and check if this Individual is evaluated
- setSeed(long) - Method in class jenes.utils.MersenneTwisterFast
-
Initalize the pseudo random number generator.
- setSelectionFactor(int) - Method in class jenes.stage.operator.common.MultiNicheCrowder
-
Sets the replacement factor
- setSelectionRate(int) - Method in class jenes.stage.operator.common.DeJongCrowder
-
Sets the selection rate
- setSelectionRate(int) - Method in class jenes.stage.operator.common.SteadyState
-
Sets the selection rate
- setSelectionRate(int) - Method in class jenes.stage.operator.Selector
-
Sets the number of individuals being selected by this operator.
- setSelector(Selector<T>) - Method in class jenes.stage.operator.common.DeJongCrowder
-
Sets the selector
- setSelector(Selector<T>) - Method in class jenes.stage.operator.common.SteadyState
-
Sets the selector
- setSortingBy(boolean...) - Method in class jenes.population.Population
-
Specify the bigger is better
- setSortingMode(Fitness.SortingMode) - Method in class jenes.population.Fitness
-
- setSpeciem(int) - Method in class jenes.population.Individual
-
Sets the subpopulation the individual belongs to
- setStandardSeed() - Method in class jenes.utils.Random
-
Sets the stardard value as Random seed.
- setTarget(int[]) - Method in class jenes.tutorials.old.problem2.PatternGA
-
- setTarget(int[]) - Method in class jenes.tutorials.problem2.PatternGA.PatternFitness
-
- setTimeSeed() - Method in class jenes.utils.Random
-
Sets the current time as Random seed.
- setValue(int, Object) - Method in class jenes.chromosome.BitwiseChromosome
-
Sets the specified object value at the given position.
- setValue(int, boolean) - Method in class jenes.chromosome.BooleanChromosome
-
Sets the specified value at the specified position
- setValue(int, double) - Method in class jenes.chromosome.DoubleChromosome
-
Sets the specified value at the specified position
- setValue(int, int) - Method in class jenes.chromosome.IntegerChromosome
-
Sets the specified value at the specified position
- setValue(Object) - Method in class jenes.chromosome.ObjectChromosome.Gene
-
Sets the gene value to this gene
- setValueAt(boolean, int) - Method in class jenes.chromosome.BooleanChromosome
-
Sets a new boolean value at the specified position
- ShortCoding - Class in jenes.chromosome.codings
-
Represents a short coding with 16 bits.
- ShortCoding() - Constructor for class jenes.chromosome.codings.ShortCoding
-
Default constructor.
- ShortCoding(ShortCoding.Mode) - Constructor for class jenes.chromosome.codings.ShortCoding
-
Creates a ShortCoding with the specified mode, that is the number representation scheme.
- ShortCoding.Mode - Enum in jenes.chromosome.codings
-
The integer coding representations
- similarity(double[]) - Method in class jenes.stage.operator.Crowder
-
Computes a degree of similarity given the genetic difference vector between two chromosomes.
- SimpleDispenser<T extends Chromosome> - Class in jenes.tutorials.old.problem2
-
Tutorial showing how to extend GeneticAlgorithm and how to use
the flexible and configurable breeding structure in Jenes.
- SimpleDispenser(int) - Constructor for class jenes.tutorials.old.problem2.SimpleDispenser
-
- SimpleDispenser<T extends Chromosome> - Class in jenes.tutorials.problem2
-
Tutorial showing how to extend GeneticAlgorithm and how to use
the flexible and configurable breeding structure in Jenes.
- SimpleDispenser(int) - Constructor for class jenes.tutorials.problem2.SimpleDispenser
-
- SimpleGA<T extends Chromosome> - Class in jenes.algorithms
-
A facade providing a simple interface to GeneticAlgorithm.
- SimpleGA() - Constructor for class jenes.algorithms.SimpleGA
-
Deprecated.
- SimpleGA(Fitness<T>, Population<T>) - Constructor for class jenes.algorithms.SimpleGA
-
Builds a new SimpleGa with the default generation limit, crossover and mutation probability,
elitism, selection and crossover methods, and elitism strategy.
- SimpleGA(Fitness<T>, Population<T>, int) - Constructor for class jenes.algorithms.SimpleGA
-
Builds a new SimpleGa with the default crossover and mutation probability,
elitism, selection and crossover methods, and elitism strategy.
- SimpleGA(Fitness<T>, Population<T>, int, double, double) - Constructor for class jenes.algorithms.SimpleGA
-
Builds a new SimpleGa with the default
elitism, selection and crossover methods, and elitism strategy.
- SimpleGA(Fitness<T>, Population<T>, int, double, double, int) - Constructor for class jenes.algorithms.SimpleGA
-
Builds a new SimpleGa with the default selection and crossover methods, and elitism strategy.
- SimpleGA(Fitness<T>, Population<T>, int, double, double, int, SimpleGA.SelectionMethod, SimpleGA.CrossoverMethod) - Constructor for class jenes.algorithms.SimpleGA
-
Builds a new SimpleGa with the default elitism strategy.
- SimpleGA(Fitness<T>, Population<T>, int, double, double, int, SimpleGA.SelectionMethod, SimpleGA.CrossoverMethod, GeneticAlgorithm.ElitismStrategy) - Constructor for class jenes.algorithms.SimpleGA
-
Builds a new SimpleGa.
- SimpleGA(Population<T>) - Constructor for class jenes.algorithms.SimpleGA
-
Deprecated.
- SimpleGA(Population<T>, int) - Constructor for class jenes.algorithms.SimpleGA
-
Builds a new SimpleGa with the default crossover and mutation probability,
elitism, selection and crossover methods, and elitism strategy.
- SimpleGA(Population<T>, int, double, double) - Constructor for class jenes.algorithms.SimpleGA
-
Deprecated.
- SimpleGA(Population<T>, int, double, double, int) - Constructor for class jenes.algorithms.SimpleGA
-
Deprecated.
- SimpleGA(Population<T>, int, double, double, int, SimpleGA.SelectionMethod, SimpleGA.CrossoverMethod) - Constructor for class jenes.algorithms.SimpleGA
-
Deprecated.
- SimpleGA(Population<T>, int, double, double, int, SimpleGA.SelectionMethod, SimpleGA.CrossoverMethod, GeneticAlgorithm.ElitismStrategy) - Constructor for class jenes.algorithms.SimpleGA
-
Deprecated.
- SimpleGA.CrossoverMethod - Enum in jenes.algorithms
-
Provides the available crossover methods
- SimpleGA.SelectionMethod - Enum in jenes.algorithms
-
Provides the available selection methods
- simpleMap(int) - Static method in class jenes.tutorials.old.problem3.TravelSalesmanProblem
-
- simpleMap(int) - Static method in class jenes.tutorials.problem3.TravelSalesmanProblem
-
- SimpleMutator<T extends Chromosome> - Class in jenes.stage.operator.common
-
A simple mutation operator.
- SimpleMutator(double) - Constructor for class jenes.stage.operator.common.SimpleMutator
-
Constructs a new simple mutator with the specified probability
- size() - Method in interface jenes.chromosome.AlleleSet
-
Returns the alphabet size
- SIZE - Variable in class jenes.chromosome.BitwiseChromosome.BitCoding
-
The bit structure characteristics.
- size() - Method in class jenes.chromosome.GenericAlleleSet
-
Returns the number of alleles held by the allele set.
- size() - Method in class jenes.population.Pool
-
Returns the pool size.
- size() - Method in class jenes.population.Population
-
Returns the population size.
- size() - Method in class jenes.population.Population.Statistics.Group
-
Returns the number of individuals in gruop
- solve() - Method in class jenes.performance.DeJongTest
-
- solve() - Method in class jenes.performance.RoyalTest
-
- solve() - Method in class jenes.performance.TravelSalesmanProblem
-
- solve() - Method in class jenes.tutorials.old.problem3.TravelSalesmanProblem
-
- solve() - Method in class jenes.tutorials.problem3.TravelSalesmanProblem
-
- solvePC() - Method in class jenes.tutorials.old.problem3.TravelSalesmanProblem
-
- solvePC() - Method in class jenes.tutorials.problem3.TravelSalesmanProblem
-
- sort(Population<C>) - Method in class jenes.population.Fitness
-
- sort(Fitness.SortingMode, Population<C>) - Method in class jenes.population.Fitness
-
- sort(List<Individual<C>>) - Method in class jenes.population.Fitness
-
Sorts the list of individuals given as argument
- sort(Fitness.SortingMode, List<Individual<C>>) - Method in class jenes.population.Fitness
-
Sorts the list of individuals given as argument using the
Fitness.SortingMode
given as argument
- sort(Population<K>, boolean...) - Static method in class jenes.population.Fitness
-
Sorts the
Population given as argument using the array given as
argument.
- sort(Fitness.SortingMode, Population<K>, boolean...) - Static method in class jenes.population.Fitness
-
- sort(List<Individual<K>>, boolean...) - Static method in class jenes.population.Fitness
-
Sorts the list given as argument using the array given as
argument.
- sort(Fitness.SortingMode, List<Individual<K>>, boolean...) - Static method in class jenes.population.Fitness
-
Sorts the list given as argument using the
Fitness.SortingMode
and the array given as arguments.
- sort(boolean...) - Method in class jenes.population.Population
-
Sorts the individuals of this population in descending order, from highest to lowest score.
- SOURCE_IMAGE - Static variable in class jenes.tutorials.problem11.ImageMatchingFitness
-
image to load
- span - Variable in class jenes.stage.Dispenser
-
The dispencer amplitude, that is the number of populations where it will add individuals
in the distribution method
- span() - Method in class jenes.stage.Dispenser
-
Returns the dispenser amplitude.
- spread() - Method in class jenes.performance.TSPCrossover
-
- spread() - Method in class jenes.stage.operator.common.HeuristicCrossover
-
- spread() - Method in class jenes.stage.operator.common.IntermediateCrossover
-
- spread() - Method in class jenes.stage.operator.common.OnePointCrossover
-
- spread() - Method in class jenes.stage.operator.common.TwoPointsCrossover
-
Returns the number of individuals involved by this crossover operator
- spread() - Method in class jenes.stage.operator.Crossover
-
Returns the number of individuals involved by this crossover operator
- spread() - Method in class jenes.tutorials.old.problem3.TSPCityCenteredCrossover
-
Returns the number of chromosomes (i.e. 2) this operator entails.
- spread() - Method in class jenes.tutorials.problem3.TSPCityCenteredCrossover
-
Returns the number of chromosomes (i.e. 2) this operator entails.
- StageException - Exception in jenes.stage
-
An exception thrown during a stage processing.
- StageException(String, Throwable) - Constructor for exception jenes.stage.StageException
-
Constructs a new StageException with the specified message and the specified cause
- StageException(String) - Constructor for exception jenes.stage.StageException
-
Constructs a new StageException with the specified message
- StageException(Throwable) - Constructor for exception jenes.stage.StageException
-
Constructs a new StageException with the specified cause
- STANDARD_SEED - Static variable in class jenes.utils.Random
-
The seed used as default
- start(boolean) - Method in class jenes.GeneticAlgorithm
-
Starts this genetic algorithm.
- start(boolean) - Method in class jenes.utils.multitasking.MultiThreadRunner
-
- start(boolean) - Method in class jenes.utils.multitasking.Runner
-
- statistics - Variable in class jenes.GeneticAlgorithm
-
The statistics object responsible for storing statistics about this
genetic algorithm.
- Statistics - Class in jenes.performance
-
- Statistics() - Constructor for class jenes.performance.Statistics
-
- statistics - Variable in class jenes.stage.operator.Operator
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the operator statistics
- Statistics.Event - Class in jenes.performance
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- Statistics.Event() - Constructor for class jenes.performance.Statistics.Event
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- StatisticsLogger - Class in jenes.statistics
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This class provides an utility wrapper for logging the statistics.
- StatisticsLogger(AbstractLogger, String...) - Constructor for class jenes.statistics.StatisticsLogger
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Creastes a StatisticsLogger.
- StatisticsLogger.Loggable - Annotation Type in jenes.statistics
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Annotation for methods providing some figure in a LoggableStatistics object.
- StatisticsLogger.LoggableStatistics - Class in jenes.statistics
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This class provides the support for making a statistics loggable.
- StatisticsLogger.LoggableStatistics() - Constructor for class jenes.statistics.StatisticsLogger.LoggableStatistics
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Constructs a new LoggableStatistics, retriving the names of figures by reflection.
- SteadyState<T extends Chromosome> - Class in jenes.stage.operator.common
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This class implements a steady-state stage.
- SteadyState(Selector<T>, AbstractStage<T>...) - Constructor for class jenes.stage.operator.common.SteadyState
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Creates a SteadySate instance
- SteadyState(int, int, Selector<T>, AbstractStage<T>...) - Constructor for class jenes.stage.operator.common.SteadyState
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Creates a SteadyState instance
- SteadyState.ReplacementStrategy - Enum in jenes.stage.operator.common
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Replacement strategies
- SteadyStateGA<T extends Chromosome> - Class in jenes.algorithms
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Steady-state genetic algorithm
- SteadyStateGA(Fitness) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA with null population, default generation limit, default replacement rate,
defaul selection rate, default selection method.
- SteadyStateGA(Fitness, Population<T>) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA with default generation limit, default replacement rate,
defaul selection rate, default selection method.
- SteadyStateGA(Fitness, Population<T>, int) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA with default replacement rate,
defaul selection rate, default selection method.
- SteadyStateGA(Fitness, Population<T>, int, SteadyStateGA.SelectionMethod, AbstractStage<T>...) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA with default replacement rate,
defaul selection rate
- SteadyStateGA(Fitness, Population<T>, int, int, int, SteadyStateGA.SelectionMethod, AbstractStage<T>...) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA
- SteadyStateGA(Fitness, Population<T>, int, Selector<T>, AbstractStage<T>...) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA
- SteadyStateGA(Fitness, Population<T>, int, int, int, Selector<T>, AbstractStage<T>...) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA
- SteadyStateGA(Fitness, Population<T>, int, SteadyState<T>) - Constructor for class jenes.algorithms.SteadyStateGA
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Builds a new SteadyStateGA
- SteadyStateGA.SelectionMethod - Enum in jenes.algorithms
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Provides the available selection methods
- stop() - Method in class jenes.GeneticAlgorithm
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Terminates the genetic algorithm, notifying the stop event to listeners.
- stop() - Method in class jenes.utils.multitasking.MultiThreadRunner
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- stop() - Method in class jenes.utils.multitasking.Runner
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- store() - Method in class jenes.utils.AbstractLogger
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Stores the current record.
- store() - Method in class jenes.utils.CSVLogger
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- store() - Method in class jenes.utils.XLSLogger
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- Student - Class in jenes.tutorials.problem13
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Rappresent an abstraction of a student who is bound.
- Student(String) - Constructor for class jenes.tutorials.problem13.Student
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- Student.Nobody - Class in jenes.tutorials.problem13
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Default class for "nobody"
- Student.Nobody() - Constructor for class jenes.tutorials.problem13.Student.Nobody
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- swap(int, int) - Method in class jenes.chromosome.BitwiseChromosome
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Swaps two bits at given positions
- swap(int, int) - Method in class jenes.chromosome.BooleanChromosome
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- swap(int, int) - Method in interface jenes.chromosome.Chromosome
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Exchanges two genes at the specified positions
- swap(int, int) - Method in class jenes.chromosome.DoubleChromosome
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- swap(int, int) - Method in class jenes.chromosome.IntegerChromosome
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- swap(int, int) - Method in class jenes.chromosome.ObjectChromosome
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- swap(int, int) - Method in class jenes.chromosome.PermutationChromosome
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- swap(Population<T>) - Method in class jenes.population.Population
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Swaps this population with the speficied one; the age and the individuals will be swapped
by this operation.
