纸浆优化错误- LPVariable对象不支持索引
纸浆优化错误- LPVariable对象不支持索引
提问于 2019-06-12 01:40:19
在尝试添加位于第31行的模型小时([MAHLi (i，j) in <= += ])<= 40上的约束时，我始终收到错误
我不确定如何正确设置此约束。我试着说，在i和j的每个索引中，特定值需要小于40，并对所有i，j对都这样做。
我对纸浆非常陌生，正在尝试建立并运行一个基本的模型。输入数据只是一堆长365行、宽24列的随机值。
from pulp import *
import pandas as pd
import numpy as np
import xlrd
model = pulp.LpProblem("Basic Model", pulp.LpMaximize)
YPER = 365
HE = 24
yearlyhours = [(i,j) for i in range(YPER) for j in range(HE)]
xlsx = pd.ExcelFile('IvA.xlsx')
df1 = pd.read_excel(xlsx, 'Sheet5')
df2 = pd.read_excel(xlsx, 'Sheet3')
df3 = pd.read_excel(xlsx, 'Sheet2')
MAHL = pulp.LpVariable('MAHL', (YPER, HE), cat='Integer')
MALL = pulp.LpVariable('MALL', cat='Integer')
DAHL = pulp.LpVariable('DAHL', cat='Integer')
DALL = pulp.LpVariable('DALL', cat='Integer')
book = xlrd.open_workbook('IvA.xlsx')
sheet10 = book.sheet_by_name('Sheet10')
sheet11 = book.sheet_by_name('Sheet11')
DAPRICE = [[sheet10.cell_value(r, c) for c in range(sheet10.ncols)] for r in range(sheet10.nrows)]
LOAD = [[sheet11.cell_value(r, c) for c in range(sheet11.ncols)] for r in range(sheet11.nrows)]
#model += (MAHL[i][j] for i in range(YPER) for j in range(HE)) <= 40
model += ([MAHL[i][j] for (i,j) in yearlyhours]) <= 40
model += (pulp.lpSum([DAPRICE[i][j] * LOAD[i][j] for i in range(YPER) for j in range(HE)]))
model.solve()
pulp.LpStatus[model.status]
print("Status:", LpStatus[model.status])
obj = value(model.objective)
print(obj)我尝试了几个解决方案，一个额外的被注释掉了。
Traceback (most recent call last):
File "bs.py", line 31, in <module>
model += ([MAHL[i][j] for (i,j) in yearlyhours]) <= 40
File "bs.py", line 31, in <listcomp>
model += ([MAHL[i][j] for (i,j) in yearlyhours]) <= 40
TypeError: 'LpVariable' object does not support indexing回答 1
Stack Overflow用户
回答已采纳
发布于 2019-06-12 01:52:56
您已经将MAHL定义为pulp.LpVariable，它(如错误所示)不支持索引，因为它对LP变量进行建模。
您可能希望使用pulp.LpVariable.dicts来定义它。
示例：
MAHL = pulp.LpVariable.dicts('MAHL', yearlyhours, cat=pulp.LpInteger)并将其称为
model += pulp.lpSum([MAHL[(i,j)] for (i,j) in yearlyhours]) <= 40页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/56549095
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