index 0 is out of bounds for axis 0 with size 0

JK779814219

1. import random
   
2. import math
   
3. 'import matplotlib.pyplot as p'
   
4. import numpy as np
   
5. 
   
6. 
   
7. class Tlbo(object):
   
8.     def __init__(self):
   
9.         self.pop_size = 30
   
10.         self.subjects_size = 20
    
11.         self.MAX = 200
    
12. 
    
13.         self.lb = 10
    
14.         self.ub = -10
    
15.         self.alpha = 0.2
    
16.         self.weightMatch = 0.3
    
17.         self.weightUtilization = 0.4
    
18.         self.weightDelivery = 0.3
    
19.         self.furnaceload = 5000
    
20.         self.gBest = 100
    
21.         self.candidateweight = [441, 608, 676, 578, 369, 432, 726, 562, 450, 462, 478, 380, 582, 555, 541, 393, 412,
    
22.                                 433, 622, 610]
    
23.         self.candidatetemperature = [870, 885, 880, 875, 880, 885, 885, 875, 880, 875, 875, 875, 875, 880, 880, 895,
    
24.                                      885, 885, 875, 880]
    
25.         self.candidatedelivery = [9, 5, 9, 5, 8, 5, 14, 8, 7, 10, 7, 8, 5, 5, 11, 5, 9, 15, 10, 6]
    
26. 
    
27.     def origin(self):
    
28.         students = [[]]
    
29.         for i in range(self.pop_size):
    
30.             temporary = []
    
31.             for j in range(self.subjects_size):
    
32.                 temporary.append(random.uniform(-10.0, 10.0))
    
33.             students.append(temporary)
    
34.         return students
    
35. 
    
36.     def teaching(self, teacher, students, meanstudent):
    
37.         temporary = []
    
38.         for j in range(self.subjects_size):
    
39.             F = random.uniform(1, 3)
    
40.             temporary.append(students[j] + random.random * (teacher[j] - meanstudent[j]))
    
41. 
    
42.         return temporary
    
43. 
    
44.     def learning(self,partner,student,isBetter):
    
45.         newStu = []
    
46.         if (isBetter):
    
47.             for j in range(self.subjects_size):
    
48.                 newStu.append(student[j] + random.random * (student[j] - partner[j]))
    
49.         else:
    
50.             for j in range(self.subjects_size):
    
51.                 newStu.append(student[j] + random.random * (partner[j] - student[j]))
    
52. 
    
53.         return newStu
    
54. 
    
55.     def self_learning(self, student, oldstudent,isBetter):
    
56.         newStu = []
    
57.         if (isBetter):
    
58.             for j in range(self.subjects_size):
    
59.                 newStu.append(student[j] + random.random * (studen

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麻烦各位大佬帮忙看看，出现  index 0 is out of bounds for axis 0 with size 0  是什么问题呀 提前谢过！

ba21

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俗世的途客

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俗世的途客

索引错误: 索引0是大小为0的轴1的超出范围