All Questions
24 questions
0
votes
1
answer
28
views
Docplex use for timeseries based variables
I am trying to model an optimisation problem where each item in a list is essentially power generated at that hour. I am trying to minimise the amount of energy stored while still getting the same ...
- 23
0
votes
1
answer
86
views
How to define multiple indices for Gurobi with Python API where indices are of different data types and depend on each other?
I'm quite new to Gurobi and Python and I came across a following problem. Given are sets:
import pandas as pd
I = pd.DataFrame(index = ['i0', 'i1', 'i2', 'i3', 'i4'])
L = [('k0', 'j2'), ('k0', 'j3'),...
0
votes
1
answer
45
views
Trying to Optimize Process Using Linear Programming. Getting error about: IndexError: index 1 is out of bounds for axis 0 with size 1
I am trying to optimize worker's schedules, based on the following dataframe.
Time Windows Shift 1 Shift 2 Shift 3 Shift 4 Workers Required
0 6:00 - 9:00 1 0 0 1 ...
- 20.4k
-1
votes
1
answer
216
views
Gurobi implementing a constraint with the sum of the multiplication of sums with python [closed]
I am using gurobi with gurobipy to implement a linear programm.
While implementing the following constraint, I get a failur.
With and and as indices sets.
My minimal example looks like
import ...
- 13
0
votes
0
answers
56
views
How to add non-linear objective function in or-solver
Here is the scenario:
There are n boxes with various capacity at the beginning of each box before assigning.
I want to fit x parcels into the boxes, letting the capacity after assigning for each boxes ...
- 121
0
votes
0
answers
58
views
Python: Linear Programming using Pyscipopt
I am optimizing a transportation problem where I want to determine which warehouse to service which customer.
Is there a way to set up the constraints so that a customer's demand can only be ...
- 11
0
votes
1
answer
348
views
Optimization Pyomo Python - 'SumExpression is not iterable'
I am new to Python and I cannot seem to solve the problem I am having, even after going through similar problems posted on the forum.
My problem is that I get the ''SumExpression' object is not ...
- 3
5
votes
1
answer
2k
views
Non-optimal result from MIP program in Google OR Tools
I was working on a sample MIP program, a selection of a coed sports team starting lineup, and found a small example that comes up with a non-optimal result in Google OR-tools.
The basics: Choose 5 ...
1
vote
1
answer
227
views
Python Constraint Optimization Issue
I am working on a Fantasy Football program and having an issue with a constraint. A fantasy team is made up of 1QB, 2RBs 3WRs 1TE, 1DEF and 1FLEX (which can be a RB, WR or TE)
My output is duplicating ...
- 35
0
votes
1
answer
155
views
How to introduce a variable in pulp environment of Python
I have two sets.
S = Sources = {S1, S2, S3}
D = Desinations = {D1, D2, D3}
I have to minimize the total transportation cost subject to some constraints. I am using the pulp in Python.
How can I ...
- 266
2
votes
1
answer
3k
views
Receiving AttributeError: 'NoneType' object has no attribute 'actualSolve' when using pulp
I'm getting this error when I'm trying to plot linear programming equations on Jupyter Notebook using Pulp.
AttributeError: 'NoneType' object has no attribute 'actualSolve'
Context:
user13902177
0
votes
1
answer
176
views
Constrained optimization over a grid while maintaining proportions
Suppose I have a user/item grid like this:
item_1 item_2
user_1 v_11 v_12
user_2 v_21 v_22
user_3 v_31 v_32
Where each user/item pair has a value, as captured in the grid. ...
- 348
0
votes
1
answer
275
views
FileNotFoundError while using PuLP in Python
I am trying to solve Linear Programing Problem through PuLP in pyhthon.
I have declared the problem (by name prob) without any error:
MAXIMIZE
20*x1 + 30*x2 + 0
SUBJECT TO
_C1: x1 + 2 x2 <= 100
...
0
votes
1
answer
97
views
How can I maximize a function?
How i can maximize an objective function?
I have a list of customers and each of them can be "activated" in three different ways.
n= 1000
df = pd.DataFrame(list(range(0,n)), columns = ['Customer_ID']...
0
votes
0
answers
87
views
How to call numpy solver to minimize a obj_func with constraints
I'm trying to solve a linear equation problem with constraints but I have no idea of how to call the solver.
I'm using a function that I wrote called covariancia but there's no problem with it, so I'...
