onegpy.operators.crossover.MLPSCrossover

class onegpy.operators.crossover.MLPSCrossover(problem, stop_after_one=False, donor_order='random')

Crossover class for the MLPS-GP

__init__(problem, stop_after_one=False, donor_order='random')

Parameters:

• problem – problem object. target problem.
• stop_after_one – bool. stop a crossover after the first donation.
• donor_order –

Methods

__init__(problem[, stop_after_one, donor_order])	param problem:problem object. target problem.
donate(recipient, cross_point, donor)	Replace a sub-tree of the recipient with a donor :param recipient: solution object.
get_options(recipient, donors)	Check if the recipient and each donor have a same tree structure or not.
improve(recipient, cross_point, donors)	Replace a sub-tree of the recipient at a crossover point with donors :param recipient: solution object.
not_changeable_warning()

Attributes

n_in
n_out