IndexError: index 2 is out of bounds for axis 0 with size 2 (List Scheduling )
IndexError: index 2 is out of bounds for axis 0 with size 2 (List Scheduling )
我在尝试安排以下内容时遇到问题。 for 循环中似乎有错误。特别是在这部分:mM[iRow,j] = p[k]
。
但是我不明白哪里出了问题。
m=2 # machines
n= 4 # number of jobs
p= np.array([1,2,3,4]) # processing times
iTimemax = np.sum(p)
# Initialisation
iTime = 0
k= 0
iRow = 0 # the iRowth job of the machine
mM=np.zeros((n,m))
for i in range (iTimemax):
for j in range (m):
if np.sum(mM[:,j]) <= iTime:
mM[iRow,j] = p[k]
k = k + 1 # next job to be assigned
iRow = iRow + 1
iTime = iTime +1
你的 p 数组的长度是 4,每次它进入 if 条件时你都递增 k。您需要在 if 条件中添加检查或在外循环中重置 k。
例如:
import numpy as np
m=2 # machines
n= 4 # number of jobs
p= np.array([1,2,3,4]) # processing times
iTimemax = np.sum(p)
# Initialisation
iTime = 0
k= 0
iRow = 0 # the iRowth job of the machine
mM=np.zeros((n,m))
for i in range (iTimemax):
for j in range (m):
if np.sum(mM[:,j]) <= iTime and k < len(p):
mM[iRow,j] = p[k]
k = k + 1 # next job to be assigned
iRow = iRow + 1
iTime = iTime +1
我在尝试安排以下内容时遇到问题。 for 循环中似乎有错误。特别是在这部分:mM[iRow,j] = p[k]
。
但是我不明白哪里出了问题。
m=2 # machines
n= 4 # number of jobs
p= np.array([1,2,3,4]) # processing times
iTimemax = np.sum(p)
# Initialisation
iTime = 0
k= 0
iRow = 0 # the iRowth job of the machine
mM=np.zeros((n,m))
for i in range (iTimemax):
for j in range (m):
if np.sum(mM[:,j]) <= iTime:
mM[iRow,j] = p[k]
k = k + 1 # next job to be assigned
iRow = iRow + 1
iTime = iTime +1
你的 p 数组的长度是 4,每次它进入 if 条件时你都递增 k。您需要在 if 条件中添加检查或在外循环中重置 k。
例如:
import numpy as np
m=2 # machines
n= 4 # number of jobs
p= np.array([1,2,3,4]) # processing times
iTimemax = np.sum(p)
# Initialisation
iTime = 0
k= 0
iRow = 0 # the iRowth job of the machine
mM=np.zeros((n,m))
for i in range (iTimemax):
for j in range (m):
if np.sum(mM[:,j]) <= iTime and k < len(p):
mM[iRow,j] = p[k]
k = k + 1 # next job to be assigned
iRow = iRow + 1
iTime = iTime +1