desdeo_emo.recombination.SimulatedBinaryCrossover

Module Contents

Classes

SBX_xover

Simulated binary crossover.
class desdeo_emo.recombination.SimulatedBinaryCrossover.SBX_xover(ProC: float = 1, DisC: float = 30)[source]

Simulated binary crossover.

Parameters
ProCfloat, optional

[description], by default 1

DisCfloat, optional

[description], by default 30

do(pop: numpy.ndarray, mating_pop_ids: list = None) → numpy.ndarray[source]
Consecutive members of mating_pop_ids are crossed over

in pairs. Example: if mating_pop_ids = [0, 2, 3, 6, 5] then the individuals are crossover as: [0, 2], [3, 6], [5, 0]. Note: if the number of elements is odd, the last individual is crossed over with the first one.

Parameters:

  • pop (np.ndarray) – Array of all individuals

  • mating_pop_ids (list, optional) –

    Indices of population members to mate, by default None, which shuffles and

    mates whole population

Returns:

The offspring produced as a result of crossover.

Return type:

np.ndarray