Hi,

Now I am trying to generate multiple clones from the original model for branch and bound algorithm.

Original model is for example

Min 3x+2y

subject to x+y<=10, 0<=x<=10 and 0<=y<=10 integers

And I want to modify the upper and lower bound of a certain variable, for example 0<=x<=5.

However, I could not get access to the variable because the model is simply a clone.

Is there any way I can modify the cloned model?

Thank you in advance and I attach the sample code for reference.

Following is the sample code. 

#include"ilcplex/ilocplex.h";
using namespace std;

int main()
{
IloNumVar Y(env, 0, 10, ILOFLOAT);
IloNumVar X(env, 0, 10, ILOFLOAT);
IloEnv env;
IloModel Model(env);
Model.add(IloMinimize(env, 3*X+2*Y));
Model.add(X+2Y <= 10);
IloModel Model1 = Model.getClone(env);
//I want to add Model1.add(X<=5); for example. However, it identifies this X as a totally new variable in the cloned model in this case, which different from X in the original model.
}

Best,
Samuel

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Sangjeong Lee
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#DecisionOptimization

The clone method will clone the tree and is working only once per env if I don't mistake. (You have to use N env if you want to create N clones).
there can only 1 clone for each object per env.
So calling X.getClone(env) will return the copy of X in the IloEnv env. It will be the object that is created during the call of Model.getClone(env) when going through the model tree.
(Calling a 2nd time Model.getClone(env) will in fact return the 1st clone).

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Vincent Beraudier
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