desdeo_emo.selection.MOEAD_select

Module Contents

Classes

MOEAD_select

The MOEAD selection operator.
class desdeo_emo.selection.MOEAD_select.MOEAD_select(pop: desdeo_emo.population.Population.Population, SF_type: desdeo_tools.scalarization.MOEADSF.MOEADSFBase, n_neighbors: int, selection_type: str = None)[source]

Bases: desdeo_emo.selection.SelectionBase.InteractiveDecompositionSelectionBase

The MOEAD selection operator.

Parameters:

  • pop (Population) – The population of individuals

  • SF_type (MOEADSFBase) – The scalarizing function employed to evaluate the solutions

do(pop: desdeo_emo.population.Population.Population, current_neighborhood: int) → List[int][source]

Select the individuals that are kept in the neighborhood.

Parameters:

  • pop (Population) – The current population.

  • vectors (ReferenceVectors) – Class instance containing reference vectors.

  • ideal_point – Ideal vector found so far

  • current_neighborhood – Neighborhood to be updated

  • offspring_fx – Offspring solution to be compared with the rest of the neighborhood

Returns:

List of indices of the selected individuals

Return type:

List[int]

_evaluate_SF(neighborhood, weights, ideal_point)[source]
choose_parents(current_neighborhood: int, n_parents: int) → List[int][source]
adapt_RVs(fitness: numpy.ndarray) → None[source]