def __init__(self,
pop_size=None,
sampling=None,
selection=None,
crossover=None,
mutation=None,
survival=None,
n_offsprings=None,
eliminate_duplicates=DefaultDuplicateElimination(),
repair=None,
individual=Individual(),
**kwargs):
super().__init__(**kwargs)
# the population size used
self.pop_size = pop_size
# the survival for the genetic algorithm
self.survival = survival
# number of offsprings to generate through recombination
self.n_offsprings = n_offsprings
# if the number of offspring is not set - equal to population size
if self.n_offsprings is None:
self.n_offsprings = pop_size
# the object to be used to represent an individual - either individual or derived class
self.individual = individual
# set the duplicate detection class - a boolean value chooses the default duplicate detection
if isinstance(eliminate_duplicates, bool):
if eliminate_duplicates:
self.eliminate_duplicates = DefaultDuplicateElimination()
else:
self.eliminate_duplicates = NoDuplicateElimination()
else:
self.eliminate_duplicates = eliminate_duplicates
# simply set the no repair object if it is None
self.repair = repair if repair is not None else NoRepair()
self.initialization = Initialization(
sampling,
individual=individual,
repair=self.repair,
eliminate_duplicates=self.eliminate_duplicates)
self.mating = Mating(selection,
crossover,
mutation,
repair=self.repair,
eliminate_duplicates=self.eliminate_duplicates,
n_max_iterations=100)
# other run specific data updated whenever solve is called - to share them in all algorithms
self.n_gen = None
self.pop = None
self.off = None
def __init__(self,
pop_size=None,
sampling=None,
eliminate_duplicates=DefaultDuplicateElimination(),
individual=Individual(),
**kwargs
):
super().__init__(**kwargs)
# the population size used
self.pop_size = pop_size
# number of offsprings
self.n_offsprings = pop_size
# the object to be used to represent an individual - either individual or derived class
self.individual = individual
# set the duplicate detection class - a boolean value chooses the default duplicate detection
if isinstance(eliminate_duplicates, bool):
if eliminate_duplicates:
self.eliminate_duplicates = DefaultDuplicateElimination()
else:
self.eliminate_duplicates = NoDuplicateElimination()
else:
self.eliminate_duplicates = eliminate_duplicates
# simply set the no repair object if it is None
self.repair = NoRepair()
self.initialization = Initialization(sampling,
individual=individual,
repair=self.repair,
eliminate_duplicates=self.eliminate_duplicates)
self.n_gen = None
self.pop = None
self.off = None
def __init__(self,
repair=None,
eliminate_duplicates=None,
n_max_iterations=100,
**kwargs):
super().__init__()
self.n_max_iterations = n_max_iterations
self.eliminate_duplicates = eliminate_duplicates if eliminate_duplicates is not None else NoDuplicateElimination(
)
self.repair = repair if repair is not None else NoRepair()
def __init__(self,
sampling,
individual=Individual(),
repair=None,
eliminate_duplicates=None) -> None:
super().__init__()
self.sampling = sampling
self.individual = individual
self.eliminate_duplicates = eliminate_duplicates if eliminate_duplicates is not None else NoDuplicateElimination(
)
self.repair = repair if repair is not None else NoRepair()