deephyper.skopt.optimizer.acq_optimizer.pymoo_ga.GA

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deephyper.skopt.optimizer.acq_optimizer.pymoo_ga.GA#

class deephyper.skopt.optimizer.acq_optimizer.pymoo_ga.GA(pop_size=100, sampling=<pymoo.operators.sampling.rnd.FloatRandomSampling object>, selection=<pymoo.operators.selection.tournament.TournamentSelection object>, crossover=<pymoo.operators.crossover.sbx.SBX object>, mutation=<pymoo.operators.mutation.pm.PM object>, survival=<pymoo.algorithms.soo.nonconvex.ga.FitnessSurvival object>, eliminate_duplicates=True, n_offsprings=None, output=<pymoo.util.display.single.SingleObjectiveOutput object>, **kwargs)[source]#

Bases: GeneticAlgorithm

Methods

advance

ask

finalize

has_next

infill

next

result

run

setup

tell

Attributes

n_gen

Contents