def runTest(self):
mutator = RealCodedMutationProcreator(mutation_rate=0)
choms = [
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros'),
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros')
]
mutated = mutator.mutate(choms)
self.assertEqual([0, 0, 0, 0, 0], list(mutated[0].genes))
self.assertEqual([0, 0, 0, 0, 0], list(mutated[1].genes))
def test(self):
seed(2)
c1 = RealCodedChromosome(size=5,
initial_state=(0, 1),
evaluate=arb_eval)
c2 = RealCodedChromosome(size=5,
initial_state=(0, 1),
evaluate=arb_eval)
crossover = FlatCrossoverProcreator()
children = crossover.procreate([c1, c2])
actuals = [
0.37036585097396263, 0.1204957780274882, 0.55903038445280817,
0.36564642040673451, 0.39204880791908869
]
for gene, actual in zip(children[0].genes, actuals):
self.assertEqual(gene, actual)
def runTest(self):
mutator = RealCodedMutationProcreator(mutation_rate=1,
random_state=(5, 6))
mutated = mutator.mutate(
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros'))
for gene in mutated.genes:
self.assertTrue(gene >= 5)
self.assertTrue(gene <= 6)
def runTest(self):
mutator = RealCodedMutationProcreator(mutation_rate=1)
mutated = mutator.mutate(
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros'))
expected = [
0.035645217728072498, 0.36092494757777704, 0.78684060294525748,
0.19489478127792192, 0.82462008610850868
]
self.assertEqual(expected, list(mutated.genes))
def runTest(self):
mutator = RealCodedMutationProcreator(mutation_rate=1)
choms = [
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros'),
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros')
]
mutated = mutator.mutate(choms)
self.assertIsInstance(mutated, list)
c0 = [
0.30832661028386366, 0.88044022543339817, 0.46543856301041264,
0.98869229439494866, 0.60293320750348567
]
self.assertEqual(c0, list(mutated[0].genes))
c1 = [
0.026083263963949999, 0.84022433810931996, 0.94752328271635278,
0.90267393734810486, 0.73721915166454299
]
self.assertEqual(c1, list(mutated[1].genes))
def runTest(self):
seed(2222)
mutator = RealCodedMutationProcreator(mutation_rate=0.5)
chroms = [
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='zeros'),
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='ones'),
RealCodedChromosome(size=5,
evaluate=arb_eval,
initial_state='ones')
]
mutated = mutator.mutate(chroms)
c0 = [0.0, 0.63031517659402647, 0.0, 0.0, 0.87853488435848204]
self.assertEqual(c0, list(mutated[0].genes))
c1 = [
1.0, 1.0, 0.65607322932247725, 0.79059298145077039,
0.39962985333928835
]
self.assertEqual(c1, list(mutated[1].genes))
c2 = [1.0, 0.36963020168002036, 0.83432897192878341, 1.0, 1.0]
self.assertEqual(c2, list(mutated[2].genes))