All Questions
Tagged with linearization cplex
10
questions
0
votes
0
answers
116
views
why this little constraint changes my whole program?
I'm trying to linearize a CP in ILOG CPLEX.
I have the following constraint that I want to linearize (I already simplified it with the big M) :
...
0
votes
0
answers
66
views
Why are these two constraint equations not equivalent?
I've made a CP Model of an hospital in ILOG CPLEX and I want to test the performance of the CPLEX version of it.
In my CP model, I have the following constraint :
...
3
votes
2
answers
232
views
Convex equivalent of a constraint
I have a constraint as follows in my MILP model:
$$
\sum_{e} (a_1(e) - a_2(e))^2 \leq M
$$
Where, $a_1(e)$ and $a_2(e)$ are binary variables. Would you please guide me how can I find the equivalent ...
2
votes
1
answer
251
views
Replace the constraint using ==> by a linear formulation
I would like to know how to express the continuity constraint without using a decision variable in the conditional form. My challenge is to stay with a linear formulation.
I will start to explain my ...
1
vote
0
answers
92
views
Linearization of Conditional Constraints for MIP using Cplex
I'm currently working on a mixed-integer programming (MIP) problem and I'm trying to implement a set of conditional constraints in CPlex. These constraints involve decision variables that are indexed ...
2
votes
3
answers
2k
views
How to use condition in cplex?
I want to use conditions to my variable.
dvar boolean x[I][J][K][L]
dvar in h[i]
my code is
...
5
votes
2
answers
1k
views
How to linearize a quadratic constraint to add it then via a callback function
Suppose we have a positive continuous variables $0 \le x \le UB$ where $UB$ is a known upper bound.
How can we linearize the term $x^2$?
Detailled problem:
Suppose that via a callback we compute a ...
5
votes
3
answers
265
views
Problem with binary decision variable constraints in VRP
I would like to create non-linear violation costs in my VRP. I already created my whole VRP with time windows in which I have these decision variable:
...
5
votes
2
answers
104
views
How to formulate case distinctions in AMPLs objective function?
This is my first real optimization problem I formulated and now trying to solve by using AMPL.
The following objective function is from a linear 0-1 LP means all variables $x_i^b\in\{0,1\}$, with $i\...
11
votes
1
answer
671
views
k-means/k-medoids Clustering Implementation in CPLEX Java
I am trying to model a grouping algorithm as k-means clustering problem, by referring to the general definition as mentioned in Wikipedia.
In my system, I have $N$ nodes that I want to group in $m$ ...