onegpy.base.mlps.MLPSGP¶

class onegpy.base.mlps.MLPSGP(initializer, localsearch, problem, observer, terminal_condition, simplify=None, is_add_terminal=True, only_add_best=False, only_add_improvements=False, depth_limit=1000000, **kwargs)[source]¶

__init__(initializer, localsearch, problem, observer, terminal_condition, simplify=None, is_add_terminal=True, only_add_best=False, only_add_improvements=False, depth_limit=1000000, **kwargs)[source]¶

Parameters:

initializer – function. Initialize operator of MLPS-GP.
localsearch – local search object. Local search operator of MLPSGP.
problem – Problem object. problem to solve.
observer – Observer object.
simplify – simplify object. Simplify operator of MLPS-GP. Default is None.
is_add_terminal – bool. a control parameter of MLPS-GP. Default is True.
only_add_best – bool. a control parameter of MLPS-GP. Default is False.
only_add_improvements – bool. a control parameter of MLPS-GP. Default is False.
depth_limit – int. a limit depth of a tree during search. Default is 1000000.

Methods

__init__(initializer, localsearch, problem, …)

param initializer:
	function. Initialize operator of MLPS-GP.

add_indiv(candidate, is_init, depth)

add_terminals(terminal_solutions)

do_crossover(candidate_solution, terminal_points)

get_skip_pop(level)

initialize_solution()

mlps_iterate()