def __init__(self):
# DEAP stores fitness values in a Fitness class, which offers some basic operations. (See base.py.)
# Must set the "weights" before instantiating the Fitness class.
# Since we will have only a single fitness value, the weights, which must be a tuple,
# will always be either (1,) (to maximize) or (-1, ) (to minimize).
# (Or to minimize can use negative weights as in set_fitness below.)
base.Fitness.weights = (-1, )
self.fitness = base.Fitness()
self.parent_1 = self.parent_2 = self.pre_mutation = None
# Individual is a subclass of list. So must have a list.
the_list = sample(list(range(1, 10)), 9)
super().__init__(the_list)
def __init__(self):
# DEAP stores fitness values in a Fitness class, which offers some basic operations. (See base.py.)
# Must set the "weights" before instantiating the Fitness class.
# The weights which must be a tuple. We use it to keep track of
# the actual fitness along with the rotation and the ending positions.
base.Fitness.weights = (1, )
self.fitness = base.Fitness()
# Define these here to keep PyCharm happy
self.best_positions = None
self.parent_1 = self.parent_2 = self.pre_mutation = None
# The class Individual is a subclass of list. So must have a list.
# Every candidate solution will be a permutation of range(8).
the_list = sample(Individual.indices, Individual.positions)
super().__init__(the_list)