I am getting 'TypeError: 'numpy.float64' object is not callable'

Question

我有一个测试函数，我试图使用 scipy.optimize 最小化，但我得到错误 above.My 测试函数 A 具有介于 0-100.And 和之间的变量这些变量 (4) 加起来应该是 100.sum(A)=100.I 尝试通过以前的类似案例解决错误阅读但我可以 not.The 解决方案应该是 2500，这是最小值因为我用 gekko 优化器解决了，现在我正在尝试切换到 Scipy.Can 有人告诉我或告诉我哪里做错了吗？代码如下：

import numpy as np                                                                 
from scipy.optimize import minimize                                                




def test_function(x):                                                              
    return np.dot(x, x)                                                            


A = np.zeros(4)                                                                    
# bnds = ([0, 100], [0, 100], [0, 100], [0, 100])                                  
bnds = tuple((0, 100) for x in range (len(A)))                                     
x0 = [1, 5, 5, 1]                                                                  


def constraint1(A):                                                                
    sum = 100                                                                      
    for i in range(4):                                                             
        sum = sum - A[i]                                                           
    return sum                                                                     


con1 = {'type': 'ineq', 'fun': constraint1}                                        

sol = minimize(test_function(A), x0, method='SLSQP', bounds=bnds, constraints=con1)

错误如下；

Traceback (most recent call last):
  File "C:/Users/Lenovo/Desktop/truss-opt/optimisation2/test_example.py", line 24, in <module>
    sol = minimize(test_function(A), x0, method='SLSQP', bounds=bnds, constraints=con1)
  File "C:\Users\Lenovo\Anaconda3\envs\practice1\lib\site-packages\scipy\optimize\_minimize.py", line 608, in minimize
    constraints, callback=callback, **options)
  File "C:\Users\Lenovo\Anaconda3\envs\practice1\lib\site-packages\scipy\optimize\slsqp.py", line 399, in _minimize_slsqp
    fx = func(x)
  File "C:\Users\Lenovo\Anaconda3\envs\practice1\lib\site-packages\scipy\optimize\optimize.py", line 326, in function_wrapper
    return function(*(wrapper_args + args))
TypeError: 'numpy.float64' object is not callable

Process finished with exit code 1

Answer 1

您需要将函数名称发送给 minimize() 而不是调用它。更改后的代码为

sol = minimize(test_function, x0, method='SLSQP', bounds=bnds, constraints=con1)

如果你想优化test_function。如果要优化 constraint1.

，请将 test_function 替换为 constraint1

I am getting 'TypeError: 'numpy.float64' object is not callable'

I am getting 'TypeError: 'numpy.float64' object is not callable'

python

scipy-optimize