Questions tagged [python]
For questions about solving Operations Research problems using the Python programming language.
348
questions
0
votes
0
answers
22
views
0
votes
3
answers
121
views
Using PULP to model machines in a factory
Complete revision:
I have all 4 machines that can run in positive and negative directions which results in 2 outputs:
$ P_1 = \begin{cases}
-390 \le P_1 \le -300 & \text{for neg mode}\\
0 &...
- 1
2
votes
0
answers
62
views
Pyomo Terminal Condition: other
I have written a huge optimization code in pyomo. The code serves for any planning horizon. The variables are indexed in time (t). When I set t to have 365 days, the termination condition is feasible/...
- 21
1
vote
1
answer
55
views
Python and GLPK to solve Linear programming problem (infeasible solution)
I'm using Python and the GLPK Solver to find recommendations for an infeasible problem.
I'm optimizing for price, and this is the problem data:
Define problem data
foods = ['Food 0', 'Food 1', 'Food 2'...
- 13
0
votes
0
answers
32
views
Why does changing this one thing in the Primal Effective Capacity Heuristic improve the solutions it generates for the MDK problem?
For a long-done project presentation, I implemented the Primal Effective Capacity (PECH) Heuristic to look for initial greedy solutions for the Multidimensional Knapsack (MDK) problem in Python. I ...
- 101
2
votes
2
answers
79
views
Small negative decision variable returned in Gurobipy model
I have a multi-period model in gurobipy with 7 types continuous decision variables and 1 type of binary (Thousands indexed total). The model solves properly and the solution has passed many validation ...
- 105
3
votes
1
answer
71
views
Solver options in Pyomo as long as using the NEOS solvers
I am working on a scheduling problem that is already coded in Pyomo. To solve the problem, I have used the NEOS solver, CPLEX. Now, to test and run some of the instances, I need to call some CPLEX ...
- 7,644
5
votes
2
answers
121
views
What are my options for exact linear programming solvers in python3 that work as of April 2023?
So a while back I had asked this question: Is there a Linear Programming Library that natively supports fractions instead of floating point arithmetic?
And basically the overwhelming consensus was ...
- 359
1
vote
0
answers
30
views
Which Python package is suitable for finding the optimal non dominated set in multiobjective optimization?
I would like to know how to use pyhon or Cplex or both for finding the whole optimal pareto front for a biobjective mixed integer linear programming problem?
Thanks
- 11
2
votes
1
answer
94
views
Using networkx predecessors in Pyomo initialize method
I am working on the directed graph by using the Networkx package and what I need is to use its predecessors' method on an optimization model. Let's say, there exists a directed graph with just $12$ ...
- 7,644
0
votes
1
answer
80
views
1
vote
4
answers
155
views
Multi-period Inventory Balance in Gurobipy
I would like to get the inventory balance in the oponed facility $\text{C}$ such that, the Inventory at time $t$ is equal to the previous one, plus the inflow minus the outflow. I have tried to create ...
- 81
2
votes
2
answers
169
views
How to represent the objective function of the Weapon Target Assignment problem in CVXPY?
I am trying to use CVXPY to analyse a problem and the objective function for this problem involves calculating a product and a sum as per the problem description below (taken from a draft paper I am ...
- 29
0
votes
0
answers
55
views
Gurobi-Python, unmet demand of customers
I would like to capture the unmet demand by modeling the following constraint with two decision variables. where $QU_{wc}$ is the unmet demand and $QW_{wc}$ the shipped amount of products. I model the ...
- 81
0
votes
2
answers
108
views
Modelling with Gurobi-Python a Supply Chain Problem
I would like to write the following simple model in GurobiPy, which is part of many terms that's belongs to the objective function, I assumed that I have three suppliers are selected and three ...
- 81
0
votes
0
answers
52
views
Multi-Scenario Gurobi Python Output
I have an lp and am trying to solve multiple scenarios at once. One of my scenarios is infeasible though this is not the issue.
For some reason, when I print m.status, both solutions have a status of ...
- 105
2
votes
2
answers
157
views
I want to solve an optimization problem with nonlinear piecewise objective function (I tried Pyomo with "ipopt" solver but I had an error)
I want to solve an optimization problem where the objective function is the summation of nonlinear, piecewise functions in the decision variables q_i's such that when a decision variable q_i < 1, ...
- 21
3
votes
1
answer
115
views
Converting continuous variable dict to binary variables in python docplex
I am solving a problem using linear relaxation at the initial phase. Hence, I need continuous variables at the beginning. Then I need to convert some continuous variables to binary and solve the same ...
user5245
2
votes
1
answer
132
views
Implementing a MINLP problem in Pyomo: giving an infeasible solution
I'm trying to implement a MINLP problem which is described in a previous post here: How do we formulate a problem where the decision variable has an index that is also a decision variable?
The only ...
- 1,011
0
votes
0
answers
36
views
Creating a simple class in python for doing simulation of MDP
I am currently learning Python and doing object-oriented programming. I am trying to create a simulation for MDP.
My problem statement is: "I have four stages of process. Each stage has two ...
- 29
2
votes
1
answer
77
views
Grid search for optimization problem
Suppose you wanted to solve the following optimization problem:
$$\inf_{a \geq 0}\sup_{b \geq 0}\dfrac{(a^2 + 1)(a + b)}{2a + b} + \dfrac{b}{a + b} - ab,$$
where $a, b$ are scalars. How would you use ...
- 51
3
votes
1
answer
92
views
Question about implementation method for optimization problem
Suppose we wanted to solve the following optimization problem:
$$\inf_{x \geq 0}\sup_{y \in [0, 1];\ z > 0} f(x, y, z),$$
where $f(x, y, z)$ is some objective function with a closed form that can ...
- 51
5
votes
6
answers
2k
views
How can I solve this algorithmic task in Python?
I am trying to solve this task:
There are three datasets: first data on offices in cities: each city has a certain number of offices and each office has its own capacity of employees. Second, data on ...
- 61
2
votes
1
answer
89
views
How to change the price in the objective function, depending on its sign, in python, with Z3?
My objective function is
$$
f_{objective} = \sum_{n=0}^{m} \int\limits_{I_n}^{I_n + \Delta i_n} P_{normal}(t) \,dt - \int\limits_{S_n}^{S_n + \Delta s_n} P_{CO_2}(t) \,dt
$$
($P(t)$ is the price,) ...
- 191
3
votes
2
answers
605
views
Pulp problem gets the right objective value but fails to find the minimal solution
I converted an excel solver problem to Pulp. However, while the pulp program calculates the objective function value correctly, it doesn't arrive at the right answer. I can't figure out what is wrong ...
- 39
2
votes
1
answer
102
views
Updating constraint set rhs in docplex
I am trying to update the rhs of a constraint iteratively under a while loop in docplex, however, it does not work properly. As I analyze the output text file, while some constraints are updated as I ...
user5245
2
votes
1
answer
59
views
How to find the maximum probability of satisfying the conditions in all combinations of arrays
for example, I got a list of tokens and each token's number of characters(length) is
length = [2, 1, 1, 2, 2, 3, 2, 1, 1, 2, 2, 2]
and here is the list of each ...
- 21
-1
votes
1
answer
92
views
GurobiPy Tutorials and hands on from beginner to advanced
What is the best way to start modelling with GurobiPy, in order to utilize it, for research purpose (i.e. more complicated problems)?
- 81
3
votes
1
answer
93
views
How to maximise a function with non-differentiable constraints while integrating over a time series data series with linear programming?
In this problem, I need to pick the optimal charging and discharging times and durations of an electric car-sharing battery to maximize income - not just for a single (dis)charging cycle, but a whole ...
- 191
3
votes
0
answers
38
views
Pygmo2: What is the point of evolving an archipelago in a loop if number of generations already set in algo
I want to solve a multi-objective problem with nsga2 or moead taking advantage of the parallelism available in pygmo library. I have seen a very nice example on github posted below. However I am not ...
- 31
1
vote
2
answers
189
views
Capacitated Maximum Coverage Location Problem, Python and Gurobi
I am trying to solve a capacitated MCLP problem with two additional constraints.
Non-overlapping circles
Minimum and Maximum value for the capacity for a circle.
for 2nd constraint, I am able to add ...
- 13
4
votes
2
answers
169
views
XPRESS variables as indices for mixed integer linear programming
Can XPRESS variables not be used as indices to retrieve other XPRESS variables. In Python, for example, say that I have a list of XPRESS variables, each which can take on values (0->24). I'd like ...
- 471
5
votes
4
answers
249
views
What are the key pros and cons to mention when asked why one prefer Julia over Python in OR-research-industry interviews and vice-versa?
I want to apply for a position after my PhD in an industrial laboratory that does research in OR.
They stipulate that they want either Python or Julia programming languages. Since my Bachelor's ...
- 583
3
votes
1
answer
124
views
Expressing $\{0,1\}$ assignment across a matrix in MILP?
I have a MILP (Xpress) constraint, which is doing what I want it to, but I'm struggling to translate it into a LaTeX friendly mathematical expression.
The below code enforces that in the matrix $V$, ...
- 471
4
votes
3
answers
1k
views
Genetic Algorithm
Is there any Python library as published on PyPi, with genetic algorithm (GA) or GA inspired solver that helps with constrained optimization?
I am aware of Matlab's GA solver and also aware that costs ...
- 3,091
3
votes
2
answers
176
views
Modifying and re-optimizing a model using CPLEX Python API
I came across the following functionality that is offered by CPLEX for modifying and re-optimizing a model based on previous computations: https://perso.ensta-paris.fr/~diam/ro/online/cplex/cplex1271/...
- 392
1
vote
1
answer
503
views
TypeError: unsupported operand type(s) for *: 'IntVar' and 'float' in ortools [closed]
I am trying to implement a constraint as follows:
...
- 181
2
votes
1
answer
106
views
Correct way to set a quadratic constraint Xpress
I'm implementing on Xpress a problem with different solution proposed on a paper. The idea is to decompose a matrix $X$ into a convex sum $\sum_{t}\lambda_t M^{(t)}$, where each $M^{(t)}$ has only ...
- 123
2
votes
1
answer
80
views
Control load per trip in multi trip VRP in ORTools
I have implemented multitrip VRP in ortools (To be specific, solved CVRPTW with virtual depots). Maximum number of trips per vehicle is limited to 2. I want to put a hard constraint that load carried ...
- 181
3
votes
2
answers
819
views
Is solving a quadratic programming optimization problem using python slower than C++？
I am using the cvxpy library in python to solve a quadratic programming problem and the solver used is scip. I found that when the amount of data becomes large, the solution process will be ...
- 63
1
vote
1
answer
202
views
MIQP — CVXPY unable to treat summation of variables as a variable
I have a quadratic integer programming assignment problem. The goal is to assign riders seats on a bus such that distance between any two riders is maximized; however, the importance of each objective ...
- 471
1
vote
1
answer
148
views
Applying weights to assignment problems for linear MIP solvers
In previous posts, A & B, I posed the Movie Theater Problem. In short, the movie theater problem encompasses assigning viewers to seats such that the distance between viewers is maximized, however,...
- 471
2
votes
2
answers
109
views
Mixed Integer Programming: Iterative assignment problem
I have a real world problem, which is analogous to the below toy problem, which I call 'The Movie Theater Problem' (TMTP.)
In TMTP, movie viewers are assigned seats which principally balances two ...
- 471
1
vote
1
answer
115
views
Create constraint when variable is within a given range MILP
What is the best way to specify whether a given variable is within a given range in Pyomo? Here I have a binary decision variable assign[t, e] which I want to ...
- 392
5
votes
1
answer
323
views
How to formulate the inequality constraint $\sqrt{x^2+y^2} \leq z$ using gurobipy?
How to formulate the following constraint using gurobipy
$$ \sqrt{x^2 + y^2} \le z$$
where $x, y, z$ are continuous optimization variables?
I saw how to formulate it using CVXPY:
...
- 391
1
vote
2
answers
200
views
How to solve this mixed integer quadratic program using cvxpy or other method?
My problem is described in this picture:
$$
\begin{array}{l}
\left\{\begin{array}{l}
\text { objective function: } \\
f = \min \sum_\limits{l=1}^2 \sum_\limits{i=0}^{2^l-1} \sum_\limits{j=0}^{2^l-2}\...
- 63
2
votes
1
answer
91
views
Difference between cplex_direct and cplex in Pyomo SolverFactory
I noticed some people specify the solver as "cplex_direct" whereas others as "cplex" when passing the option to SolverFactory in Pyomo. Is there ...
- 392
2
votes
2
answers
188
views
Improve Network Flow computation with additional Pyomo constraints based on previous computation
I am performing several max-flow computations on extremely similar networks and I seek to improve their execution time based on information from previous computations (As there is a lot of repetitive ...
- 392
1
vote
1
answer
57
views
Are there any performance overheads if we specify Pyomo Constraints in different way?
I am interested to know whether there are any performance overheads for specifying Pyomo Constraints in different ways. For example, which of the two ways is better? I am trying to speed up one of my ...
- 392
7
votes
3
answers
474
views
Profit Maximization LP and Incentives Scenarios
I wrote a profit maximization LP with inventory, component usage, production, and machine hours constraints. When I optimize the model, it solves as expected. When applied towards a business case, ...
- 105