Uses of Class jenes.population.Fitness (Jenes)

Packages that use Fitness
Package	Description
jenes
jenes.algorithms
jenes.population
jenes.stage
jenes.stage.operator
jenes.stage.operator.common
jenes.tutorials.problem10
jenes.tutorials.problem11
jenes.tutorials.problem12
jenes.tutorials.problem13
jenes.tutorials.problem2
jenes.tutorials.problem3
jenes.tutorials.problem4

Uses of Fitness in jenes

Methods in jenes that return Fitness
Modifier and Type	Method and Description
`Fitness`	GeneticAlgorithm.`getFitness()` Returns the `Fitness` from this genetic algorithm's body

Methods in jenes with parameters of type Fitness
Modifier and Type	Method and Description
`void`	GeneticAlgorithm.`setFitness(Fitness fitness)` Sets the `Fitness`

Constructors in jenes with parameters of type Fitness
Constructor and Description
`GeneticAlgorithm(Fitness fitness)` Constructs a new genetic algorithm with no initial population and the default generation limit.
`GeneticAlgorithm(Fitness fitness, Population<T> pop)` Constructs a new genetic algorithm with the specified population and the default generation limit.
`GeneticAlgorithm(Fitness fitness, Population<T> pop, int genlimit)` Constructs a new genetic algorithm with the specified population and the specified generation limit.

Uses of Fitness in jenes.algorithms

Constructors in jenes.algorithms with parameters of type Fitness
Constructor and Description
`CrowdingGA(Fitness fitness, Crowder crowder)` Default constructor
`CrowdingGA(Fitness fitness, Crowder crowder, Population<T> population, int generations)` Create a new CrowdingGA by setting the initial population and the generation limit
`IslandGA(Fitness fitness)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population, int genlimit)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches, GeneticAlgorithm<T> algo)` Creates a IslandGA instance with an empty fitness
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches, GeneticAlgorithm<T> algo, int migration)` Creates a IslandGA instance with an empty fitness
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches, GeneticAlgorithm<T> algo, int migration, IslandGA.Graph geography)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches, GeneticAlgorithm<T> algo, int migration, IslandGA.Graph geography, IslandGA.ReplacementStrategy rp)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches, int migration)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches, int migration, IslandGA.Graph geography)` Creates a IslandGA instance
`IslandGA(Fitness fitness, Population<T> population, int genlimit, int niches, int migration, IslandGA.Graph geography, IslandGA.ReplacementStrategy rp)` Creates a IslandGA instance
`NSGA2(Fitness fitness)` Default constructor
`NSGA2(Fitness fitness, Population<T> population)` Generates a new NSGA2 instance
`NSGA2(Fitness fitness, Population<T> population, int generations)` Generates a new NSGA2 instance
`NSGA2(Fitness fitness, Population<T> population, int generations, int trials)` Generates a new NSGA2 instance
`SimpleGA(Fitness<T> fitness, Population<T> population)` Builds a new SimpleGa with the default generation limit, crossover and mutation probability, elitism, selection and crossover methods, and elitism strategy.
`SimpleGA(Fitness<T> fitness, Population<T> population, int generations)` Builds a new SimpleGa with the default crossover and mutation probability, elitism, selection and crossover methods, and elitism strategy.
`SimpleGA(Fitness<T> fitness, Population<T> population, int generations, double crossover, double mutation)` Builds a new SimpleGa with the default elitism, selection and crossover methods, and elitism strategy.
`SimpleGA(Fitness<T> fitness, Population<T> population, int generations, double crossover, double mutation, int elitism)` Builds a new SimpleGa with the default selection and crossover methods, and elitism strategy.
`SimpleGA(Fitness<T> fitness, Population<T> population, int generations, double crossover, double mutation, int elitism, SimpleGA.SelectionMethod selmethod, SimpleGA.CrossoverMethod crossmethod)` Builds a new SimpleGa with the default elitism strategy.
`SimpleGA(Fitness<T> fitness, Population<T> population, int generations, double crossover, double mutation, int elitism, SimpleGA.SelectionMethod selmethod, SimpleGA.CrossoverMethod crossmethod, GeneticAlgorithm.ElitismStrategy es)` Builds a new SimpleGa.
`SteadyStateGA(Fitness fitness)` Builds a new SteadyStateGA with `null` population, default generation limit, default replacement rate, defaul selection rate, default selection method.
`SteadyStateGA(Fitness fitness, Population<T> pop)` Builds a new SteadyStateGA with default generation limit, default replacement rate, defaul selection rate, default selection method.
`SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit)` Builds a new SteadyStateGA with default replacement rate, defaul selection rate, default selection method.
`SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, int rr, int sr, Selector<T> selector, AbstractStage<T>... stages)` Builds a new SteadyStateGA
`SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, int rr, int sr, SteadyStateGA.SelectionMethod selmethod, AbstractStage<T>... stages)` Builds a new SteadyStateGA
`SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, Selector<T> selector, AbstractStage<T>... stages)` Builds a new SteadyStateGA
`SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, SteadyState<T> ss)` Builds a new SteadyStateGA
`SteadyStateGA(Fitness fitness, Population<T> pop, int genlimit, SteadyStateGA.SelectionMethod selmethod, AbstractStage<T>... stages)` Builds a new SteadyStateGA with default replacement rate, defaul selection rate

Uses of Fitness in jenes.population

Methods in jenes.population that return Fitness
Modifier and Type	Method and Description
`Fitness<C>`	Fitness.`clone()`
`protected Fitness<C>`	Fitness.`duplicate()` Builds a copy instance.
`Fitness<T>`	Population.`getEvaluatedBy()` Return the genetic algorithm that has evaluated this population.

Methods in jenes.population with parameters of type Fitness
Modifier and Type	Method and Description
`void`	Population.`setEvaluatedBy(Fitness fitness)` Specify the fitness that has scored population

Uses of Fitness in jenes.stage

Fields in jenes.stage declared as Fitness
Modifier and Type	Field and Description
`protected Fitness<T>`	AbstractStage.`fitness` The current Fitness

Methods in jenes.stage that return Fitness
Modifier and Type	Method and Description
`Fitness<T>`	AbstractStage.`getFitness()` Get the `Fitness` currently setted for this stage

Methods in jenes.stage with parameters of type Fitness
Modifier and Type	Method and Description
`void`	AbstractStage.`setFitness(Fitness<T> fit)` Change the `Fitness` to this stage propagating the change recursively
`void`	AbstractStage.`setFitness(Fitness<T> fit, boolean recursively)` Change the `Fitness` to this stage propagating the change recursively according to the flag given as parameter
`void`	AlgorithmStage.`setFitness(Fitness fit, boolean recursively)`
`void`	Parallel.`setFitness(Fitness fit, boolean recursively)`
`void`	Sequence.`setFitness(Fitness fit, boolean recursively)`

Uses of Fitness in jenes.stage.operator

Methods in jenes.stage.operator with parameters of type Fitness
Modifier and Type Method and Description

void Crowder.setFitness(Fitness fit, boolean recursively)

Methods in jenes.stage.operator with parameters of type Fitness
Modifier and Type	Method and Description
`void`	Crowder.`setFitness(Fitness fit, boolean recursively)`

Uses of Fitness in jenes.stage.operator.common

Methods in jenes.stage.operator.common with parameters of type Fitness
Modifier and Type	Method and Description
`void`	DeJongCrowder.`setFitness(Fitness fit, boolean recursively)` XXX

Uses of Fitness in jenes.tutorials.problem10

Subclasses of Fitness in jenes.tutorials.problem10
Modifier and Type Class and Description

class FitnessFunction
This class represent the fitness function for problem 10

Subclasses of Fitness in jenes.tutorials.problem10
Modifier and Type	Class and Description
`class`	`FitnessFunction` This class represent the fitness function for problem 10

Uses of Fitness in jenes.tutorials.problem11

Subclasses of Fitness in jenes.tutorials.problem11
Modifier and Type	Class and Description
`class`	`ImageMatchingFitness` This class represent the fitness function used to match orientation of a sample image.

Methods in jenes.tutorials.problem11 that return Fitness
Modifier and Type	Method and Description
`protected Fitness<BitwiseChromosome>`	ImageMatchingFitness.`duplicate()`

Uses of Fitness in jenes.tutorials.problem12

Subclasses of Fitness in jenes.tutorials.problem12
Modifier and Type Class and Description

static class MultiObjectiveProblem.ProblemFitness

Subclasses of Fitness in jenes.tutorials.problem12
Modifier and Type	Class and Description
`static class`	`MultiObjectiveProblem.ProblemFitness`

Uses of Fitness in jenes.tutorials.problem13

Subclasses of Fitness in jenes.tutorials.problem13
Modifier and Type	Class and Description
`class`	`WeekFitness` Rappresent the fitness function used to evaluate the quality of a solution founded by the algorithm.

Uses of Fitness in jenes.tutorials.problem2

Subclasses of Fitness in jenes.tutorials.problem2
Modifier and Type Class and Description

class PatternGA.PatternFitness
Uses of Fitness in jenes.tutorials.problem3

Subclasses of Fitness in jenes.tutorials.problem3
Modifier and Type Class and Description

class TSPGA.TSPFitness
Uses of Fitness in jenes.tutorials.problem4

Subclasses of Fitness in jenes.tutorials.problem4
Modifier and Type Class and Description

class EntropyFitness
Tutorial showing how to set-up a minimization problem.

Uses of Classjenes.population.Fitness

Uses of Fitness in jenes

Uses of Fitness in jenes.algorithms

Uses of Fitness in jenes.population

Uses of Fitness in jenes.stage

Uses of Fitness in jenes.stage.operator

Uses of Fitness in jenes.stage.operator.common

Uses of Fitness in jenes.tutorials.problem10

Uses of Fitness in jenes.tutorials.problem11

Uses of Fitness in jenes.tutorials.problem12

Uses of Fitness in jenes.tutorials.problem13

Uses of Fitness in jenes.tutorials.problem2

Uses of Fitness in jenes.tutorials.problem3

Uses of Fitness in jenes.tutorials.problem4

Uses of Class
jenes.population.Fitness