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## Uses of Class
org.apache.commons.math.genetics.Chromosome

Packages that use Chromosome
org.apache.commons.math.genetics | This package provides Genetic Algorithms components and implementations.

Uses of Chromosome in org.apache.commons.math.genetics

Subclasses of Chromosome in org.apache.commons.math.genetics
`class` | `AbstractListChromosome<T>` Chromosome represented by an immutable list of a fixed length.
`class` | `BinaryChromosome` Chromosome represented by a vector of 0s and 1s.
`class` | `RandomKey<T>` Random Key chromosome is used for permutation representation.

Methods in org.apache.commons.math.genetics that return Chromosome
`protected Chromosome` | `Chromosome.findSameChromosome(Population population)` Searches the `population` for another chromosome with the same representation.
`Chromosome` | `ChromosomePair.getFirst()` Access the first chromosome.
`Chromosome` | `Population.getFittestChromosome()` Access the fittest chromosome in this population.
`Chromosome` | `ListPopulation.getFittestChromosome()` Access the fittest chromosome in this population.
`Chromosome` | `ChromosomePair.getSecond()` Access the second chromosome.
`Chromosome` | `MutationPolicy.mutate(Chromosome original)` Mutate the given chromosome.
`Chromosome` | `BinaryMutation.mutate(Chromosome original)` Mutate the given chromosome.
`Chromosome` | `RandomKeyMutation.mutate(Chromosome original)` Mutate the given chromosome.

Methods in org.apache.commons.math.genetics that return types with arguments of type Chromosome
`List<Chromosome>` | `ListPopulation.getChromosomes()` Access the list of chromosomes.
`Iterator<Chromosome>` | `ListPopulation.iterator()` Chromosome list iterator

Methods in org.apache.commons.math.genetics with parameters of type Chromosome
`void` | `Population.addChromosome(Chromosome chromosome)` Add the given chromosome to the population.
`void` | `ListPopulation.addChromosome(Chromosome chromosome)` Add the given chromosome to the population.
`int` | `Chromosome.compareTo(Chromosome another)` Compares two chromosomes based on their fitness.
`ChromosomePair` | `OnePointCrossover.crossover(Chromosome first, Chromosome second)` Performs one point crossover.
`ChromosomePair` | `CrossoverPolicy.crossover(Chromosome first, Chromosome second)` Perform a crossover operation on the given chromosomes.
`protected boolean` | `BinaryChromosome.isSame(Chromosome another)` Returns `true`iff `another` has the same representation and therefore the same fitness.``
`protected boolean` | `Chromosome.isSame(Chromosome another)` Returns `true`iff `another` has the same representation and therefore the same fitness.``
`protected boolean` | `RandomKey.isSame(Chromosome another)` Returns `true` iff `another` is a RandomKey and encodes the same permutation.
`Chromosome` | `MutationPolicy.mutate(Chromosome original)` Mutate the given chromosome.
`Chromosome` | `BinaryMutation.mutate(Chromosome original)` Mutate the given chromosome.
`Chromosome` | `RandomKeyMutation.mutate(Chromosome original)` Mutate the given chromosome.

Method parameters in org.apache.commons.math.genetics with type arguments of type Chromosome
`void` | `ListPopulation.setChromosomes(List<Chromosome> chromosomes)` Sets the list of chromosomes.

Constructors in org.apache.commons.math.genetics with parameters of type Chromosome
`ChromosomePair(Chromosome c1, Chromosome c2)` Create a chromosome pair.

Constructor parameters in org.apache.commons.math.genetics with type arguments of type Chromosome
`ElitisticListPopulation(List<Chromosome> chromosomes, int populationLimit, double elitismRate)` Creates a new ElitisticListPopulation instance.
`ListPopulation(List<Chromosome> chromosomes, int populationLimit)` Creates a new ListPopulation instance.

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