## Uses of Interface
org.apache.commons.math3.genetics.Population

- Packages that use Population
  Package | Description
  --- | ---
  org.apache.commons.math3.genetics | This package provides Genetic Algorithms components and implementations.

- - ### Uses of Population in org.apache.commons.math3.genetics

    Classes in org.apache.commons.math3.genetics that implement Population
    Modifier and Type | Class and Description
    --- | ---
    `class` | `ElitisticListPopulation` Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
    `class` | `ListPopulation` Population of chromosomes represented by a `List`.

    Methods in org.apache.commons.math3.genetics that return Population
    Modifier and Type | Method and Description
    --- | ---
    `Population` | GeneticAlgorithm.`evolve(Population initial, StoppingCondition condition)` Evolve the given population.
    `Population` | ElitisticListPopulation.`nextGeneration()` Start the population for the next generation.
    `Population` | Population.`nextGeneration()` Start the population for the next generation.
    `Population` | GeneticAlgorithm.`nextGeneration(Population current)` Evolve the given population into the next generation.

    Methods in org.apache.commons.math3.genetics with parameters of type Population
    Modifier and Type | Method and Description
    --- | ---
    `Population` | GeneticAlgorithm.`evolve(Population initial, StoppingCondition condition)` Evolve the given population.
    `protected Chromosome` | Chromosome.`findSameChromosome(Population population)` Searches the `population` for another chromosome with the same representation.
    `boolean` | FixedGenerationCount.`isSatisfied(Population population)` Determine whether or not the given number of generations have passed.
    `boolean` | FixedElapsedTime.`isSatisfied(Population population)` Determine whether or not the maximum allowed time has passed.
    `boolean` | StoppingCondition.`isSatisfied(Population population)` Determine whether or not the given population satisfies the stopping condition.
    `Population` | GeneticAlgorithm.`nextGeneration(Population current)` Evolve the given population into the next generation.
    `void` | Chromosome.`searchForFitnessUpdate(Population population)` Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
    `ChromosomePair` | TournamentSelection.`select(Population population)` Select two chromosomes from the population.
    `ChromosomePair` | SelectionPolicy.`select(Population population)` Select two chromosomes from the population.

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