降低这段代码的重复率:#交叉 def crossSol(model): sol_list=copy.deepcopy(model.sol_list) model.sol_list=[] while True: f1_index = random.randint(0, len(sol_list) - 1) f2_index = random.randint(0, len(sol_list) - 1) if f1_index!=f2_index: f1 = copy.deepcopy(sol_list[f1_index]) f2 = copy.deepcopy(sol_list[f2_index]) if random.random() <= model.pc: cro1_index=int(random.randint(0,len(model.demand_id_list)-1)) cro2_index=int(random.randint(cro1_index,len(model.demand_id_list)-1)) new_c1_f = [] new_c1_m=f1.node_id_list[cro1_index:cro2_index+1] new_c1_b = [] new_c2_f = [] new_c2_m=f2.node_id_list[cro1_index:cro2_index+1] new_c2_b = [] for index in range(len(model.demand_id_list)): if len(new_c1_f)<cro1_index: if f2.node_id_list[index] not in new_c1_m: new_c1_f.append(f2.node_id_list[index]) else: if f2.node_id_list[index] not in new_c1_m: new_c1_b.append(f2.node_id_list[index]) for index in range(len(model.demand_id_list)): if len(new_c2_f)<cro1_index: if f1.node_id_list[index] not in new_c2_m: new_c2_f.append(f1.node_id_list[index]) else: if f1.node_id_list[index] not in new_c2_m: new_c2_b.append(f1.node_id_list[index]) new_c1=copy.deepcopy(new_c1_f) new_c1.extend(new_c1_m) new_c1.extend(new_c1_b) f1.nodes_seq=new_c1 new_c2=copy.deepcopy(new_c2_f) new_c2.extend(new_c2_m) new_c2.extend(new_c2_b) f2.nodes_seq=new_c2 model.sol_list.append(copy.deepcopy(f1)) model.sol_list.append(copy.deepcopy(f2)) else: model.sol_list.append(copy.deepcopy(f1)) model.sol_list.append(copy.deepcopy(f2)) if len(model.sol_list)>model.popsize: break
时间: 2023-12-03 10:03:36 浏览: 29
可以通过使用函数来避免代码的重复。以下是重构后的代码:
```
def get_random_index(sol_list):
return random.randint(0, len(sol_list)-1)
def crossSol(model):
sol_list = copy.deepcopy(model.sol_list)
model.sol_list = []
while True:
f1_index = get_random_index(sol_list)
f2_index = get_random_index(sol_list)
if f1_index == f2_index:
continue
f1 = copy.deepcopy(sol_list[f1_index])
f2 = copy.deepcopy(sol_list[f2_index])
if random.random() <= model.pc:
cro1_index = int(random.randint(0, len(model.demand_id_list)-1))
cro2_index = int(random.randint(cro1_index, len(model.demand_id_list)-1))
new_c1_f, new_c1_m, new_c1_b = [], f1.node_id_list[cro1_index:cro2_index+1], []
new_c2_f, new_c2_m, new_c2_b = [], f2.node_id_list[cro1_index:cro2_index+1], []
for index in range(len(model.demand_id_list)):
if len(new_c1_f) < cro1_index:
if f2.node_id_list[index] not in new_c1_m:
new_c1_f.append(f2.node_id_list[index])
else:
if f2.node_id_list[index] not in new_c1_m:
new_c1_b.append(f2.node_id_list[index])
for index in range(len(model.demand_id_list)):
if len(new_c2_f) < cro1_index:
if f1.node_id_list[index] not in new_c2_m:
new_c2_f.append(f1.node_id_list[index])
else:
if f1.node_id_list[index] not in new_c2_m:
new_c2_b.append(f1.node_id_list[index])
new_c1 = copy.deepcopy(new_c1_f)
new_c1.extend(new_c1_m)
new_c1.extend(new_c1_b)
f1.nodes_seq = new_c1
new_c2 = copy.deepcopy(new_c2_f)
new_c2.extend(new_c2_m)
new_c2.extend(new_c2_b)
f2.nodes_seq = new_c2
model.sol_list.append(copy.deepcopy(f1))
model.sol_list.append(copy.deepcopy(f2))
else:
model.sol_list.append(copy.deepcopy(f1))
model.sol_list.append(copy.deepcopy(f2))
if len(model.sol_list) > model.popsize:
break
```
重构后的代码中,`get_random_index()` 函数用于获取随机索引,避免了在代码中多次使用 `random.randint()` 的重复性。 `crossSol()` 函数只需要调用 `get_random_index()` 函数两次来获取两个不同的随机索引,然后使用 `continue` 语句跳过重复的索引,从而避免了一些重复性的代码。 `crossSol()` 函数中也可以使用一些辅助函数或变量来更加简洁地实现复杂的逻辑。