@File : opoint.py @Time : 2026/05/21 14:21:14 @Author : Alejandro Marrero (amarrerd@ull.edu.es) @Version : 1.0 @Contact : amarrerd@ull.edu.es @License : (C)Copyright 2026, Alejandro Marrero @Desc : None

OnePointCrossover

Bases: Crossover

Source code in digneapy/operators/crossover/opoint.py 
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class OnePointCrossover(Crossover):
    def __init__(
        self, cxpb: float = 0.5, seed: Optional[int | np.random.SeedSequence] = None
    ):
        super().__init__(cxpb, seed)

    def __call__(self, individual: IndType, other: IndType) -> IndType:
        """One point crossover

        Args:
            individual Instance or Solution: First individual to apply crossover. Returned object
            other Instance or Solution: Second individual to apply crossover
            cxpb (float64, optional): Crossover probability. Not used in this operator.
            seed (Optional[int  |  np.random.SeedSequence], optional): Seed for the random number generator. Defaults to None.

        Raises:
            ValueError: When the len(ind_1) != len(ind_2)

        Returns:
            Instance or Solution: New individual
        """
        if len(individual) != len(other):
            msg = f"Individual of different length in uniform_crossover. len(ind) = {len(individual)} != len(other) = {len(other)}"
            raise ValueError(msg)

        offspring = individual.clone()
        cross_point = self._rng.integers(low=0, high=len(individual))
        offspring[cross_point:] = other[cross_point:]
        return offspring

__call__(individual, other)

One point crossover

Parameters:
  • individual Instance or Solution –

    First individual to apply crossover. Returned object

  • other Instance or Solution –

    Second individual to apply crossover

  • cxpb (float64) –

    Crossover probability. Not used in this operator.

  • seed (Optional[int | SeedSequence]) –

    Seed for the random number generator. Defaults to None.
Raises:
  • ValueError –

    When the len(ind_1) != len(ind_2)
Returns:
  • IndType –

    Instance or Solution: New individual
Source code in digneapy/operators/crossover/opoint.py 
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def __call__(self, individual: IndType, other: IndType) -> IndType:
    """One point crossover

    Args:
        individual Instance or Solution: First individual to apply crossover. Returned object
        other Instance or Solution: Second individual to apply crossover
        cxpb (float64, optional): Crossover probability. Not used in this operator.
        seed (Optional[int  |  np.random.SeedSequence], optional): Seed for the random number generator. Defaults to None.

    Raises:
        ValueError: When the len(ind_1) != len(ind_2)

    Returns:
        Instance or Solution: New individual
    """
    if len(individual) != len(other):
        msg = f"Individual of different length in uniform_crossover. len(ind) = {len(individual)} != len(other) = {len(other)}"
        raise ValueError(msg)

    offspring = individual.clone()
    cross_point = self._rng.integers(low=0, high=len(individual))
    offspring[cross_point:] = other[cross_point:]
    return offspring