def mutLS4(individual, problem, num_ls, gen):
if not individual.fitness.valid:
computeFitness(problem, individual)
num_ls[gen][0] += 1
improvement, new_ind = move10(problem, individual)
if improvement:
num_ls[gen][1] += 1
return new_ind,
return individual,
def mutLS(individual, problem, gen):
"""
Local Search
:param individual: Individual to be mutated.
:param indpb: Independent probability for each attribute to be exchanged to
another position.
:returns: A tuple of one individual.
This function uses the :func:`~random.random` and :func:`~random.randint`
functions from the python base :mod:`random` module.
"""
if not individual.fitness.valid:
computeFitness(problem, individual)
individual = ls_prins(problem, individual, gen,)
# individual = ls_move14(problem, individual, num_ls, gen)
return individual,