ontolearn.ea_algorithms

Evolutionary algorithms (for Evolearner).

Attributes

logger

Classes

AbstractEvolutionaryAlgorithm	An abstract class for evolutionary algorithms.
BaseEvolutionaryAlgorithm	An abstract class for evolutionary algorithms.
EASimple	An abstract class for evolutionary algorithms.
RegularizedEvolution	An abstract class for evolutionary algorithms.
MultiPopulation	An abstract class for evolutionary algorithms.

Module Contents

ontolearn.ea_algorithms.logger

class ontolearn.ea_algorithms.AbstractEvolutionaryAlgorithm

An abstract class for evolutionary algorithms.

__slots__ = ()

name: ClassVar[str]

abstract 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]]

class ontolearn.ea_algorithms.BaseEvolutionaryAlgorithm

Bases: AbstractEvolutionaryAlgorithm

An abstract class for evolutionary algorithms.

__slots__ = ()

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]]

abstract generation(toolbox: deap.base.Toolbox, population: List[ontolearn.ea_utils.Tree], num_selections: int = 0) → Tuple[bool, List[ontolearn.ea_utils.Tree]]

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

Bases: BaseEvolutionaryAlgorithm

An abstract class for evolutionary algorithms.

__slots__ = ('crossover_pr', 'mutation_pr', 'elitism', 'elite_size')

name: Final = 'EASimple'

crossover_pr: float

mutation_pr: float

elitism: bool

elite_size: float

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

class ontolearn.ea_algorithms.RegularizedEvolution

Bases: BaseEvolutionaryAlgorithm

An abstract class for evolutionary algorithms.

__slots__ = ()

name: Final = 'RegularizedEvolution'

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

class ontolearn.ea_algorithms.MultiPopulation(base_algorithm: BaseEvolutionaryAlgorithm | None = None, migration_size: float = 0.1, num_populations: int = 4, iso_generations: float = 0.1, boost: float = 0.0)

Bases: AbstractEvolutionaryAlgorithm

An abstract class for evolutionary algorithms.

__slots__ = ('base_algorithm', 'migration_size', 'num_populations', 'iso_generations', 'boost')

name: Final = 'MultiPopulation'

base_algorithm: BaseEvolutionaryAlgorithm

migration_size: float

num_populations: int

iso_generations: float

boost: float

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]]