def crossover(self, other):
"""Returns a tuple of the results of the crossover (copies)"""
# allow crossover to change the whole thing.
# start_self, end_self = randsegment(self.swaps)
# start_other, end_other = randsegment(other.swaps)
length_self = int(min(abs(np.random.normal(0, len(self.swaps) / 10.0)), len(self.swaps)))
start_self = randrange(len(self.swaps) - length_self)
end_self = start_self + length_self
length_other = int(min(abs(np.random.normal(0, len(other.swaps) / 10.0)), len(other.swaps)))
start_other = randrange(len(other.swaps) - length_other)
end_other = start_other + length_other
try:
self_a, self_b, self_c = self.swaps[:start_self], self.swaps[start_self:end_self], self.swaps[end_self:]
other_a, other_b, other_c = (
other.swaps[:start_other],
other.swaps[start_other:end_other],
other.swaps[end_other:],
)
except:
print start_self, end_self
print start_other, end_other
raise
# new_self = Candidate(list(unique(self_a + other_b + self_c)))
# new_other = Candidate(list(unique(other_a + self_b + other_c)))
new_self = Candidate(self_a + other_b + self_c)
new_other = Candidate(other_a + self_b + other_c)
return (new_self, new_other)
def __init__(self, swaps=None):
self.swaps = swaps or [Candidate.swap() for i in range(randrange(40) + 10)]
def __init__(self, initial_values=None, length=16):
if initial_values != None:
self.test_values = initial_values
else:
self.test_values = [randrange(90) + 10 for x in range(length)]
def mutate(self, severity=1):
for i in range(severity):
index = randindex(self.test_values)
self.test_values[index] = randrange(90) + 10
def swap(cls, length=16):
return (randrange(length), randrange(length))
