`desdeo_emo.recombination.SinglePointCrossoverMutation`

Module Contents

`SinglePoint_Xover`	Simple single point crossover and mutation.
`SinglePoint_Mutation`	Simple single point crossover and mutation.

class desdeo_emo.recombination.SinglePointCrossoverMutation.SinglePoint_Xover(ProC: float = 1, DisC: float = 30)[source]

Simple single point crossover and mutation.

Parameters

crossover(ind_0, ind_1)[source]

Single point crossover. :param ind_0: individual_0 :param ind_1: individual_1

mutation(indi)[source]: Simple mutation. Arg:

indi: individual to mutation.

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

class desdeo_emo.recombination.SinglePointCrossoverMutation.SinglePoint_Mutation(ProC: float = 1, DisC: float = 30)[source]