def mutate(self, genes):
n = len(genes)
to_mutate = seeded_random.sample(range(n),
max(n * self.mutation_rate, 1))
for i in to_mutate:
genes[i] = not genes[i]
return genes
def _random_crossover(self, chromosome_a, chromosome_b, n_cross_points=2):
cross_points = seeded_random.sample(range(chromosome_a.length()),
n_cross_points)
cross_points.sort()
return self._crossover_from_points(chromosome_a, chromosome_b,
cross_points)
def _random_crossover(self, chromosome_a, chromosome_b, n_cross_points=2):
cross_points = seeded_random.sample(range(chromosome_a.length()), n_cross_points)
cross_points.sort()
return self._crossover_from_points(chromosome_a, chromosome_b, cross_points)
def mutate(self, genes):
n = len(genes)
to_mutate = seeded_random.sample(range(n), max(n * self.mutation_rate, 1))
for i in to_mutate:
genes[i] = not genes[i]
return genes
