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## org.biojavax.ga.impl
Class AbstractGeneticAlgorithm

    java.lang.Object
      org.biojava.utils.AbstractChangeable
          org.biojavax.ga.impl.AbstractGeneticAlgorithm

All Implemented Interfaces:
  Changeable, GeneticAlgorithm

Direct Known Subclasses:
  SimpleGeneticAlgorithm

    public abstract class AbstractGeneticAlgorithm

extends AbstractChangeable
implements GeneticAlgorithm

Base class from which most implementations of GeneticAlgorithm will inherit.

Since:
  1.5
Version:
  1.1
Author:
  Mark Schreiber, Susanne Merz, Andreas Dräger

Field Summary
`protected Population` | `population`

Fields inherited from interface org.biojavax.ga.GeneticAlgorithm
`CROSS_OVER_FUNCTION, FITNESS_FUNCTION, FUNCTION, MUTATION_FUNCTION, POPULATION, SELECTION_FUNCTION`

Constructor Summary
`protected` | `AbstractGeneticAlgorithm()`

Method Summary
`CrossOverFunction` | `getCrossOverFunction()`
`FitnessFunction` | `getFitnessFunction()` Returns the fitness function, i.e.
`MutationFunction` | `getMutationFunction()`
`Population` | `getPopulation()` The registered `Population`
`SelectionFunction` | `getSelectionFunction()`
`void` | `initPopulation()` Assigns a fitness value to each organism within the population according to the currently set fitness function.
`void` | `setCrossOverFunction(CrossOverFunction function)` Changes the `CrossOverFunction` used to CrossOver Chromosomes
`void` | `setFitnessFunction(FitnessFunction func)` The fitness function that will be used to compute the fitness of each organism.
`void` | `setMutationFunction(MutationFunction function)` Sets the current `MutationFunction`
`void` | `setPopulation(Population pop)` Sets the `Population` of `Organisms` to the Algorithm.
`void` | `setSelectionFunction(SelectionFunction function)` Changes the `SelectionFunction` used to select candidates for the next generation

Methods inherited from class org.biojava.utils.AbstractChangeable
`addChangeListener, addChangeListener, generateChangeSupport, getChangeSupport, hasListeners, hasListeners, isUnchanging, removeChangeListener, removeChangeListener`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Methods inherited from interface org.biojavax.ga.GeneticAlgorithm
`getGeneration, run`

Methods inherited from interface org.biojava.utils.Changeable
`addChangeListener, addChangeListener, isUnchanging, removeChangeListener, removeChangeListener`

Field Detail

### population

    protected Population population

Constructor Detail

### AbstractGeneticAlgorithm

    protected AbstractGeneticAlgorithm()

Method Detail

### getCrossOverFunction

    public final CrossOverFunction getCrossOverFunction()

  Specified by:
    `getCrossOverFunction` in interface `GeneticAlgorithm`
  Returns:
    the current CrossOverFunction

### getFitnessFunction

    public FitnessFunction getFitnessFunction()

  Description copied from interface: `GeneticAlgorithm`
  Returns the fitness function, i.e. the class that computes the fitness of each organism in a population.

  Specified by:
    `getFitnessFunction` in interface `GeneticAlgorithm`
  Returns:
    the fitness function

### getMutationFunction

    public final MutationFunction getMutationFunction()

  Specified by:
    `getMutationFunction` in interface `GeneticAlgorithm`
  Returns:
    the current `MutationFunction`

### getPopulation

    public final Population getPopulation()

  Description copied from interface: `GeneticAlgorithm`
  The registered `Population`

  Specified by:
    `getPopulation` in interface `GeneticAlgorithm`
  Returns:
    the `Population` being operated on.

### getSelectionFunction

    public final SelectionFunction getSelectionFunction()

  Specified by:
    `getSelectionFunction` in interface `GeneticAlgorithm`
  Returns:
    the current `SelectionFunction`

### initPopulation

    public void initPopulation()

  Assigns a fitness value to each organism within the population according to the currently set fitness function. If no population or no fitness function is set, nothing will happen.

### setCrossOverFunction

    public final void setCrossOverFunction(CrossOverFunction function)
                                    throws ChangeVetoException

  Description copied from interface: `GeneticAlgorithm`
  Changes the `CrossOverFunction` used to CrossOver Chromosomes

  Specified by:
    `setCrossOverFunction` in interface `GeneticAlgorithm`
  Parameters:
    `function` - a `CrossOverFunction`
  Throws:
    `ChangeVetoException` - if the `CrossOverFunction` is not allowed to be changed

### setFitnessFunction

    public final void setFitnessFunction(FitnessFunction func)
                                  throws ChangeVetoException

  Description copied from interface: `GeneticAlgorithm`
  The fitness function that will be used to compute the fitness of each organism.

  Specified by:
    `setFitnessFunction` in interface `GeneticAlgorithm`
  Parameters:
    `func` - the `FitnessFunction` to be used
  Throws:
    `ChangeVetoException` - if the change is vetoed.

### setMutationFunction

    public final void setMutationFunction(MutationFunction function)
                                   throws ChangeVetoException

  Description copied from interface: `GeneticAlgorithm`
  Sets the current `MutationFunction`

  Specified by:
    `setMutationFunction` in interface `GeneticAlgorithm`
  Parameters:
    `function` - a `MutationFunction`
  Throws:
    `ChangeVetoException` - if the `MutationFunction` change is Vetoed by a listener.

### setPopulation

    public final void setPopulation(Population pop)
                             throws ChangeVetoException

  Description copied from interface: `GeneticAlgorithm`
  Sets the `Population` of `Organisms` to the Algorithm.

  Specified by:
    `setPopulation` in interface `GeneticAlgorithm`
  Parameters:
    `pop` - the population to add.
  Throws:
    `ChangeVetoException` - if new populations are not allowed.

### setSelectionFunction

    public final void setSelectionFunction(SelectionFunction function)
                                    throws ChangeVetoException

  Description copied from interface: `GeneticAlgorithm`
  Changes the `SelectionFunction` used to select candidates for the next generation

  Specified by:
    `setSelectionFunction` in interface `GeneticAlgorithm`
  Parameters:
    `function` - a `SelectionFunction`
  Throws:
    `ChangeVetoException` - if the `SelectionFunction` is not allowed to be changed

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