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Questions tagged [linearization]

For questions related to techniques for converting nonlinear expressions in optimization models into equivalent (or approximately equivalent) linear ones.

0 votes
1 answer
36 views

Add second "constraint" to model a binary variable

in my model I have the binary variable $f_{ij}$ which pushes a time-dependent $j$ integer variable $D_{ij}$ to zero if $f_{ij}$ takes the value 1 and keeps the integer number if $f_{ij}$ equals 0. Yes,...
marvelfab12's user avatar
1 vote
1 answer
88 views

How to model $\max\limits_{x\in X} \min\limits_{y\in Y} \max\limits_{z\in Z} f(z)$ as single MILP

I have the following optimization problem: \begin{align*} \max\limits_{x\in X} &\min\limits_{y\in Y} \max\limits_{z\in Z} & f(z) \\ &\text{such that} & (x, y, z)\in P \end{align*} ...
graphtheory123's user avatar
0 votes
0 answers
64 views

Is it possible to transform MIQP into MILP without introducing new variable?

I have a QP optimization problem in the form $$\min {\bf x}^T{\bf Qx}-{\bf c}^T{\bf x}$$ here $\bf Q$ is a symmetric matrix. $\bf x$ is the optimization variable, and it is binary. Is there a way to ...
KGM's user avatar
  • 2,377
0 votes
2 answers
90 views

linearizing a constraint involving an absolute function

I would like to know what is the best way to linearize a constraint involving an absolute function. More precisely, imagine I have three binary variables and their relationships is as follows: |x-y| = ...
Sam's user avatar
  • 97
1 vote
1 answer
89 views

Linearizing a quadratic constraint

I am working on a quadratic conic optimization problem, but I have discovered that it would be preferable if the quadratic constraint is linearly approximated. In other words, I need some way to make ...
Mikkel Honningsvåg Sandhaug's user avatar
0 votes
1 answer
59 views

How to linearize this L0 norm of a vector?

I have an QP optimization problem. $\bf x$ is the binary optimizaion variable of size $12\times 1$. One of the constraints is non-linear/non-convex. The constraint is L0 constraint. The constraint I ...
KGM's user avatar
  • 2,377
2 votes
1 answer
216 views

How to transform a binary QP into an MILP?

I have a binary quadratic problem with objective ${\bf{x}}^T{\bf{Qx}}+{\bf{c}}^T{\bf{x}}$ subject to ${\bf{A}}{\bf{x}}\le{\bf{b}}$ ${\bf{A}}_{eq}{\bf{x}}={\bf{b}}_{eq}$. here ${\bf{x}}$ is binary. ...
KGM's user avatar
  • 2,377
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) : ...
Marcocorico's user avatar
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 : ...
Marcocorico's user avatar
0 votes
2 answers
126 views

Converting a piecewise function to linear equations

I am trying to build a MILP model. In this model, I have a dependent variable (alpha) that its value depends on the value of some other variables (or different combination of some other variables). In ...
Sam's user avatar
  • 97
-1 votes
1 answer
74 views

How to linearize a product of an integer and a binary variable

i have this constraint right here, which is not linear. How would i linearize such a product. $number_t$ is a positive integer and $new_t$ and $reset_t$ are binary. $$number_t = (number_{t-1}+new_t)\...
Uni ewr's user avatar
  • 71
1 vote
1 answer
112 views

Convex approximation of a constraint

I have a constraint given as $ \left|x_n+\beta x_{n+ 1}\right|-\varepsilon_{ky}\left|x_{n}\right|\leq0\hspace{1em}\forall n=1,2...,N $ I need to convert this into a convex form to implement in CVX. $...
Muhammad's user avatar
0 votes
1 answer
67 views

Formulation of a stepwise linear approximation

I am currently trying to solve an MILP in Gurobi. Unfortunately, Gurobi does not support non-linear functions and I would like to do the following. I currently have the following constraint. It ...
nflgreaternba's user avatar
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 ...
Mohammad Reza Salehizadeh's user avatar
0 votes
1 answer
85 views

How to represent "if $y_{it} = 1$ and $z_{jt'}=1$ then $x_{ij,t+t'}=1$"

There is a fulfillment problem in the e-commerce logistics field, where the fulfillment of each order is composed of a main transport (from City A to City B, referred to as a route) and an end ...
Ying's user avatar
  • 105

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