Amir Fayaz Heidari

Thanks Maliheh.

Thanks for your response.Could you please check the code below? It works correctly without the constraint regarding the max function." model.addConstrs((con_SCG[m,r] == gp.max_(x_SCG[m,r], min_con_...

M=6 R=5 Y=20   Variable_1 = model.addVars(M , R , Y , vtype=GRB.CONTINUOUS)   Output_1 = np.zeros((M,R,Y)) for m in range(M):       for r in range(R):             for y in range(Y):                ...

Mario, could you please address my problem?   Thanks in advance

Thanks for your response. My model is quadratic, continuous, and convex. I use the barrier method to solve the optimization problem.I set the parameters below for solving the optimization problem: ...