def mutate(individual, pset, expr):
rand = np.random.rand()
if rand <= 0.25:
return gp.mutShrink(individual),
elif rand <= 0.5:
return gp.mutInsert(individual, pset)
elif rand <= 0.75:
return gp.mutNodeReplacement(individual, pset)
return gp.mutUniform(individual, expr, pset)
def multi_mutate(individual, expr, pset):
'''定义变异函数'''
rand = np.random.uniform(0)
if rand <= 0.33:
return gp.mutUniform(individual, expr, pset)
elif rand <= 0.66:
return gp.mutShrink(individual)
else:
return gp.mutNodeReplacement(individual, pset)
def multi_mutate(individual, expr, pset):
'''
apply multiple kinds of mutation in a funciton
'''
rand = np.random.uniform(0)
if rand <= 0.4:
return gp.mutUniform(individual, expr, pset)
elif rand <= 0.75:
return gp.mutShrink(individual)
else:
return gp.mutNodeReplacement(individual, pset)
def multiple_mutator(individual, pset):
weight_sum = gencome.config.mut_uniform_weight + gencome.config.mut_replacement_weight \
+ gencome.config.mut_insert_weight + gencome.config.mut_shrink_weight
cur_weight = gencome.config.mut_uniform_weight
rng = random.random() * weight_sum
if rng < cur_weight:
logger.debug(
f"Starting mutation: Uniform {str_individual_with_real_feature_names(individual)}"
)
new_ind = gp.mutUniform(individual,
expr=gencome.config.toolbox.expr_mut,
pset=pset)
logger.debug(
f"Successful mutation: Uniform {str_individual_with_real_feature_names(new_ind[0])}"
)
return new_ind
cur_weight += gencome.config.mut_replacement_weight
if rng < cur_weight:
logger.debug(
f"Starting mutation: Node Replace {str_individual_with_real_feature_names(individual)}"
)
new_ind = gp.mutNodeReplacement(individual, pset=pset)
logger.debug(
f"Successful mutation: Node Replace {str_individual_with_real_feature_names(new_ind[0])}"
)
return new_ind
cur_weight += gencome.config.mut_insert_weight
if rng < cur_weight:
logger.debug(
f"Starting mutation Insert {str_individual_with_real_feature_names(individual)}"
)
new_ind = gp.mutInsert(individual, pset=pset)
logger.debug(
f"Successful mutation Insert {str_individual_with_real_feature_names(new_ind[0])}"
)
return new_ind
logger.debug(
f"Starting mutation Shrink {str_individual_with_real_feature_names(individual)}"
)
new_ind = gp.mutShrink(individual)
logger.debug(
f"Successful mutation Shrink {str_individual_with_real_feature_names(new_ind[0])}"
)
return new_ind
def random_mutation(individual, expr, pset):
return random.choice([gp.mutShrink(individual), gp.mutNodeReplacement(individual, pset), gp.mutUniform(individual, expr, pset), gp.mutEphemeral(individual, "all")])
def _mutate(individual, expr, pset):
r = random.random()
if r < 0.9:
return gp.mutUniform(individual, expr, pset)
else:
return gp.mutNodeReplacement(individual, pset)