I have an optimization problem as below.

For $g\in G$, let $\mathcal{N}_g$ be the nodes in group $g$, and let binary variable $u_g$ indicate whether group $g$ is used. The problem has this following constraint

\begin{align} \sum_{g\in G:\ i\in N_g} u_g &= 1 &&\text{for all $i$} \end{align}

How can Model this in Cplex?

For example, G=10;







The only constraint says that every node must be chosen just once.

Here is what I tried so far

IloEnv env;

IloNum G=10;

IloNumVarArray Ug(env, G,0,1,ILOINT)

IloModel model(env)

In order to make it efficient for implementation I do a reformulation. I generate a binary matrix,$B$ of size $N_{node}\times G$, where $N_{node}$ is the number of nodes. If node $n, n\in{1,2,\cdots,N_{node}}$ is present in group $g, g\in{1,2,\cdots,G}$, then $B_{n,g}=1$, otherwise 0.

IloExpr constFun(env)

Note: In Matlab, this constraint now can be expressed as

  for n=1:N
  • $\begingroup$ Please edit your question and show what you have tried so far and where you are stuck. That way you can get better answers regarding your specific problem. $\endgroup$
    – EhsanK
    Aug 31 at 13:12
  • $\begingroup$ Your set partitioning model is pretty much complete. Is your question "how can I code this with Cplex ?" $\endgroup$
    – Kuifje
    Aug 31 at 13:19
  • $\begingroup$ @Kuifje yes. I am not so familiar with Cplex. Especially, the constraint is creating some problem. I do not know how to code this non-symmetric 2D array. $\endgroup$ Aug 31 at 13:21
  • $\begingroup$ If you can use PuLp, such an example is given here (Pulp is just the modeler, you can call CPLEX to solve the problem). $\endgroup$
    – Kuifje
    Aug 31 at 13:24
  • $\begingroup$ You seeem to use C++. Here is a C++ example of an implementation of the Generalized Assignment Problem with Cplex. That's from what I start every time I write a new Cplex model in C++. Maybe it will help you $\endgroup$
    – fontanf
    Aug 31 at 13:58

In OPL CPLEX you could start with

int g=10;
range G=1..g;
range I=1..5;

{int} Ng[G]=[{1,2},{3,4},{5},{},{},

dvar boolean u[G];

subject to
  forall(i in I) sum(g in G:i in Ng[g]) u[g]==1;

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