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Crossover

pangadfs.crossover

CrossoverDefault()

Bases: CrossoverBase

Source code in pangadfs/base.py 
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def __init__(self):
    logging.getLogger(__name__).addHandler(logging.NullHandler())

crossover(*, population, method='uniform', **kwargs)

Crossover individuals in population.

Parameters:

Name Type Description Default
population ndarray

the population to crossover. Shape is n_individuals x n_chromosomes.

 required
method str

crossover method, 'uniform', 'diverse', 'one_point', or 'two_point'.

 'uniform'
**kwargs

Arbitrary keyword arguments

 {}

Returns:

Type Description
ndarray

np.ndarray: concatenation of two offspring
Source code in pangadfs/crossover.py 
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def crossover(self, *, population: np.ndarray, method: str = 'uniform', **kwargs) -> np.ndarray:
    """Crossover individuals in population.

    Args:
        population (np.ndarray): the population to crossover. Shape is n_individuals x n_chromosomes.
        method (str): crossover method, 'uniform', 'diverse', 'one_point', or 'two_point'.
        **kwargs: Arbitrary keyword arguments

    Returns:
        np.ndarray: concatenation of two offspring

    """     
    dispatch = {
        'uniform': self._uniform,
        'diverse': self._diverse,
        'one_point': self._one_point,
        'two_point': self._two_point
    }        

    return dispatch.get(method, self._uniform)(population=population, **kwargs)