def custom_mate(ind1, ind2):
i = random.randint(1, 3)
if i == 1:
corners = tools.cxPartialyMatched(ind1[0], ind2[0])
elif i == 2:
edges = tools.cxPartialyMatched(ind1[1], ind2[1])
elif i == 3:
inners = tools.cxPartialyMatched(ind1[2], ind2[2])
return ind1, ind2
def __crossover(ind1, ind2, indpb=0):
"""
该函数为交叉函数，对ind1和ind2执行交叉操作。
在Deap中，可以使用的函数有cxPartialyMatched, cxUniformPartialyMatched和cxOrdered。
具体查看https://deap.readthedocs.io/en/master/api/tools.html#operators
"""
ind1, ind2 = tools.cxPartialyMatched(ind1, ind2)
# ind1, ind2 = tools.cxUniformPartialyMatched(ind1, ind2, indpb)
# ind1, ind2 = tools.cxOrdered(ind1, ind2)
return ind1, ind2
def crossover(self, individual_1, individual_2, probability):
if self.method == 'Uniform':
return tools.cxUniform(individual_1, individual_2, probability)
elif self.method == 'TwoPoint':
return tools.cxESTwoPoint(individual_1, individual_2)
elif self.method == 'PartialyMatched':
return tools.cxPartialyMatched(individual_1, individual_2)
elif self.method == 'UniformPartialyMatched':
return tools.cxUniformPartialyMatched(individual_1, individual_2,
probability)
def mate(x, y):
for x_attr, y_attr in zip(x, y):
tools.cxPartialyMatched(x_attr, y_attr)
def tspd_crossover(ind1, ind2):
tools.cxPartialyMatched(ind1[0], ind2[0])
tools.cxTwoPoint(ind1[1], ind2[1])
return ind1, ind2
def mixed_mate(ind1, ind2):
tools.cxPartialyMatched(ind1[0], ind2[0])
toolsx.cx_pick(ind1[1], ind2[1])
return ind1, ind2
def crossover_pmx(object1, object2):
tools.cxPartialyMatched(object1, object2)
return object1, object2
tools.cxOrdered(ind1, ind2)
for i in range(100):
ind1 = random.sample(range(10), 10)
ind2 = random.sample(range(10), 10)
tools.mutShuffleIndexes(ind1, 1)
print(ind1)
for i in range(100):
ind1 = random.sample(range(10), 10)
tools.mutUniformInt(ind1, 20, 100, 1)
print(ind1)
for i in range(100):
ind1 = random.sample(range(100), 10)
ind2 = random.sample(range(100), 10)
tools.cxPartialyMatched(ind1, ind2)
print(ind1)
print(ind2)
print(len(set(ind1)), len(set(ind2)))
while True:
ind1 = random.sample(range(100), 10)
ind2 = random.sample(range(100), 10)
# print(ind1, ind2)
# print(len(set(ind1)), len(set(ind2)))
if len(set(ind1)) != len(set(ind2)):
print(len(set(ind1)), len(set(ind2)))
tools.cxTwoPoint(ind1, ind2)
