:py:mod:`ontolearn.ea_algorithms`
=================================

.. py:module:: ontolearn.ea_algorithms

.. autoapi-nested-parse::

   Evolutionary algorithms (for Evolearner).



Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   ontolearn.ea_algorithms.AbstractEvolutionaryAlgorithm
   ontolearn.ea_algorithms.BaseEvolutionaryAlgorithm
   ontolearn.ea_algorithms.EASimple
   ontolearn.ea_algorithms.RegularizedEvolution
   ontolearn.ea_algorithms.MultiPopulation




Attributes
~~~~~~~~~~

.. autoapisummary::

   ontolearn.ea_algorithms.logger


.. py:data:: logger

   

.. py:class:: AbstractEvolutionaryAlgorithm


   An abstract class for evolutionary algorithms.

   .. py:attribute:: __slots__
      :value: ()

      

   .. py:attribute:: name
      :type: ClassVar[str]

      

   .. py:method:: evolve(toolbox: deap.base.Toolbox, population: List[ontolearn.ea_utils.Tree], num_generations: int, start_time: float, verbose: bool = False) -> Tuple[bool, List[ontolearn.ea_utils.Tree]]
      :abstractmethod:



.. py:class:: BaseEvolutionaryAlgorithm


   Bases: :py:obj:`AbstractEvolutionaryAlgorithm`

   An abstract class for evolutionary algorithms.

   .. py:attribute:: __slots__
      :value: ()

      

   .. py:method:: evolve(toolbox: deap.base.Toolbox, population: List[ontolearn.ea_utils.Tree], num_generations: int, start_time: float, verbose: int = 0) -> Tuple[bool, List[ontolearn.ea_utils.Tree]]


   .. py:method:: generation(toolbox: deap.base.Toolbox, population: List[ontolearn.ea_utils.Tree], num_selections: int = 0) -> Tuple[bool, List[ontolearn.ea_utils.Tree]]
      :abstractmethod:



.. py:class:: EASimple(crossover_pr: float = 0.9, mutation_pr: float = 0.1, elitism: bool = False, elite_size: float = 0.1)


   Bases: :py:obj:`BaseEvolutionaryAlgorithm`

   An abstract class for evolutionary algorithms.

   .. py:attribute:: __slots__
      :value: ('crossover_pr', 'mutation_pr', 'elitism', 'elite_size')

      

   .. py:attribute:: name
      :type: Final
      :value: 'EASimple'

      

   .. py:attribute:: crossover_pr
      :type: float

      

   .. py:attribute:: mutation_pr
      :type: float

      

   .. py:attribute:: elitism
      :type: bool

      

   .. py:attribute:: elite_size
      :type: float

      

   .. py:method:: generation(toolbox: deap.base.Toolbox, population: List[ontolearn.ea_utils.Tree], num_selections: int = 0) -> Tuple[bool, List[ontolearn.ea_utils.Tree]]



.. py:class:: RegularizedEvolution


   Bases: :py:obj:`BaseEvolutionaryAlgorithm`

   An abstract class for evolutionary algorithms.

   .. py:attribute:: __slots__
      :value: ()

      

   .. py:attribute:: name
      :type: Final
      :value: 'RegularizedEvolution'

      

   .. py:method:: generation(toolbox: deap.base.Toolbox, population: List[ontolearn.ea_utils.Tree], num_selections: int = 0) -> Tuple[bool, List[ontolearn.ea_utils.Tree]]



.. py:class:: MultiPopulation(base_algorithm: Optional[BaseEvolutionaryAlgorithm] = None, migration_size: float = 0.1, num_populations: int = 4, iso_generations: float = 0.1, boost: float = 0.0)


   Bases: :py:obj:`AbstractEvolutionaryAlgorithm`

   An abstract class for evolutionary algorithms.

   .. py:attribute:: __slots__
      :value: ('base_algorithm', 'migration_size', 'num_populations', 'iso_generations', 'boost')

      

   .. py:attribute:: name
      :type: Final
      :value: 'MultiPopulation'

      

   .. py:attribute:: base_algorithm
      :type: BaseEvolutionaryAlgorithm

      

   .. py:attribute:: migration_size
      :type: float

      

   .. py:attribute:: num_populations
      :type: int

      

   .. py:attribute:: iso_generations
      :type: float

      

   .. py:attribute:: boost
      :type: float

      

   .. py:method:: evolve(toolbox: deap.base.Toolbox, population: List[ontolearn.ea_utils.Tree], num_generations: int, start_time: float, verbose: int = 0) -> Tuple[bool, List[ontolearn.ea_utils.Tree]]