def test_reproduce_differently_fit_genomes_with_overlapping_connections(self):
genome1 = Genome([[1, 3, 0, True], [2, 4, 0, True], [1, 4, 1, True]], 2, 2)
# genome2 becomes independent copy of genome 1 (same invocation numbers)
genome2 = Genome._reproduce_equal_genomes(genome1, genome1)
# add different connection
genome2._create_connection_genes([[2, 3, 0, True]])
# change genome 2 (1,4) connection weight
genome2.connection_genes[(1, 4)].weight = 5
genome1.fitness = 2.0
genome2.fitness = 1.0
child = Genome.reproduce(genome1, genome2)
self.assertEqual([(1, 3), (1, 4), (2, 4)], child.get_connections_ids())
overlapping_connection = child.connection_genes[(1, 4)]
weight = overlapping_connection.weight
self.assertTrue(weight == 1 or weight == 5)
genome1.fitness = 1.0
genome2.fitness = 2.0
child = Genome.reproduce(genome1, genome2)
self.assertEqual([(1, 3), (1, 4), (2, 3), (2, 4)], child.get_connections_ids())
overlapping_connection = child.connection_genes[(1, 4)]
weight = overlapping_connection.weight
self.assertTrue(weight == 1 or weight == 5)
def test_reproduce_differently_fit_genomes(self):
genome1 = Genome([[1, 3, 0, True], [2, 4, 0, True]], 2, 2)
genome2 = Genome([[1, 4, 0, True], [2, 3, 0, True]], 2, 2)
genome1.fitness = 2.0
genome2.fitness = 1.0
child = Genome.reproduce(genome1, genome2)
self.assertEqual([(1, 3), (2, 4)], child.get_connections_ids())
genome1.fitness = 1.0
genome2.fitness = 2.0
child = Genome.reproduce(genome1, genome2)
self.assertEqual([(1, 4), (2, 3)], child.get_connections_ids())
def get_offsprings_from_group(self, group_key, group_offspring_amount,
left_genomes):
group_to_reproduce = self.groups[group_key]
parents = group_to_reproduce.get_parents(self.r_factor)
offsprings = []
while (len(offsprings) != group_offspring_amount):
first_parent = random.choice(parents)
second_parent = random.choice(parents)
# Make a child
offspring = Genome.reproduce(first_parent, second_parent)
# Mutate it
offspring.mutate(self.mutation_coefficients)
# Now try to fit it into this group
if self._is_group_fitting_for_offspring(
group_to_reproduce.get_representative(), offspring):
offsprings.append(offspring)
else:
left_genomes.append(offspring)
return offsprings
