compile(expr=individual, pset=pset) # 循环直到所有城市都被访问 while unvisited_cities: # 根据启发式函数和距离选择下一个城市 current_city = route[-1] # 获取路线中的最后一个城市作为当前城市 next_city = select_next_city(current_city, unvisited_ci
def add_operators(pset): """添加算子""" pset = add_operators_base(pset) add_unary_ops(pset) add_unary_rolling_ops(pset) add_binary_rolling_ops(pset) 在unary里,我们新增了一个函数,取序列的倒数: @calc_by_symbol def inv(x: pd.Series): with np.errstate(divide="ignore", invalid="ignor...
def add_operators(pset): """添加算子""" pset = add_operators_base(pset) add_unary_ops(pset) add_unary_rolling_ops(pset) add_binary_rolling_ops(pset) 在unary里,我们新增了一个函数,取序列的倒数: @calc_by_symbol def inv(x: pd.Series): with np.errstate(divide="ignore", invalid="ignor...
pset_history = np.zeros((max_iteration,xnum,ynum,3)) # 保存 p,u,v 迭代值 d_history = np.zeros(max_iteration) #%% 计算:压力修正法,SIMPLE 算法 ### ## 第一步:初始化 pset[:,-1,1] = ue pset[:,-1,2] = ve pset[:,0,1] = u0 pset[:,0,2] = v0 pset[0,:,2] = v_...
问比较两种Python : CS50 PSET6 DNAEN又到了今天C语言在线学习平台推送每日一题的时间了，今天分享的...
问CS50使用Python编程的介绍: Check50在PSet4中的问题EN在运行程序时，可能需要根据不同的条件，输入不...
pset.addPrimitive(operator.mul, 2) creator.create("FitnessMin", base.Fitness, weights=(-1.0,)) creator.create("Individual", gp.PrimitiveTree, fitness=creator.FitnessMin, pset=pset) toolbox = base.Toolbox() toolbox.register("expr", gp.genHalfAndHalf, pset=pset, min_=1, max_=2) ...
pset.addEphemeralConstant("rand101",lambda: random.randint(-1,1)) 参数的默认名称为ARGx。 让我们将其重命名为x: pset.renameArguments(ARG0='x') 我们需要定义两种对象类型–适应度和个体。 让我们用creator来做: creator.create("FitnessMin", base.Fitness, weights=(-1.0,)) ...
toolbox.register("mutate",gp.mutUniform,expr=toolbox.expr_mut,pset=pset) toolbox.register('map',backtester) importoperator toolbox.decorate("mate",gp.staticLimit(key=operator.attrgetter("height"),max_value=17)) toolbox.decorate("mutate",gp.staticLimit(key=operator.attrgetter("height"),max_...
("mutate", gp.mutUniform, expr = toolbox.expr_mut, pset = pset) toolbox.decorate("mate", gp.staticLimit(key = operator.attrgetter("height"), max_value = 17)) toolbox.decorate("mutate", gp.staticLimit(key = operator.attrgetter("height"), max_value = 17)) return toolbox if __...