from pygenalgo.genome.chromosome import Chromosome
from pygenalgo.operators.mutation.mutate_operator import MutationOperator
[docs]
class RandomMutator(MutationOperator):
"""
Description:
Random mutator, mutates the chromosome by selecting randomly a position and replace
the Gene with a new one that has been generated randomly (uniform probability).
"""
def __init__(self, mutate_probability: float = 0.1) -> None:
"""
Construct a 'RandomMutator' object with a given
probability value.
:param mutate_probability: (float).
"""
# Call the super constructor with the provided
# probability value.
super().__init__(mutate_probability)
# _end_def_
[docs]
def mutate(self, individual: Chromosome) -> None:
"""
Perform the mutation operation by randomly replacing
a gene with a new one that has been generated randomly.
:param individual: (Chromosome).
:return: None.
"""
# If the mutation probability is higher than
# a uniformly random value, make the changes.
if self.is_operator_applicable():
# Get the size of the chromosome.
n_genes: int = len(individual)
# Select randomly the mutation point and
# replace the old gene with a new one.
individual[self.rng.integers(n_genes,
dtype=int)].random()
# Set the fitness to NaN.
individual.invalidate_fitness()
# Increase the mutator counter.
self.inc_counter()
# _end_def_
# _end_class_