Waseem Akram

yes you are right. When I catch the infeasible or unbounded status, the model returns the following "model.ilp" after computing m.computeIIS(). This means that after some iteration the model is inf...

Hi, When I was trying to get the gurobi  var after running objective 2. The model was showing infeasible solution and no attribute with X. Surprisingly when I set condition: if m.status==GRB.OPTIM...

Hi, Thank you very much for your help. I was doing this. Unfortunately, the gurobi model does not work with objective 2. When I run objective 1 both in first and second loop. It is working properly...

Hi, I would like to ask one question. My algorithm has two optimization objectives. In the first loop, I do optimization of the objective 1 and save the records. In the next loop, first I add const...

Jaromił Najman Thanks a lot. By rearranging the constraints as m.addConstr(term1[l] == term2[l] + s1[l,k]) I get the correct constraints i.e 0. Now its working.

Jaromił Najman Thank you very much for your kind help. Yes this is what I wanted. However, this constraint gives me "model is infeasible or unbounded" error.

I want to get this. [1 2 3] = [x y z] + [s1_1 s1_2 s1_3] I need three constraints not their summation.  I need to achieve : m.addConstr([1 2 3]-[x y z]==[s1_1 s1_2 s1_3]) #at each iteration of k loop

Thanks Jaromil. Sorry it was my mistake. Actually Bu object is 3x4 matrix. Using s1 as AddVars the problem solved in setting the objective function. However, I am still having difficulty in setting...

I would like to add one more thing that: m.addConstr(xseq[i-k-1]-A@xseq[i-k-2]==(Ts*np.linalg.inv(M)@Bu@dDelta)@useq[i-k-2]+s1[:,k]) the left side gives 3x1 shape while right side gives MLinExpr of...

I got it. Thank you!