Marika Karbstein

I think to set solver-specific options in Pyomo, add a line like solver.options['DualReductions'] = 0 before solving the model.

Hi Jonas, You can access the solution value of a variable using the attribute X.Yes, the attribute Pi is not available when using the multi-objective feature.If you need the shadow prices and since...

Hi Anne, did you set the  DualReductions parameter to 0, call reset on the model, and optimize once again as discussed here? Since you have the output "Model is infeasible or unbounded" you have to...

Hi Jonas, I do not know whether I understand you correctly. If you add the individual objectives with setObjectiveN() you can give the weight to be used for the blended multi-objective optimization...

Hi Thunwa, I am not quite sure about your model. But you need to use the m.addVars() method to create variables for Aux_Expo_noise1[k] and Aux_Expo_noise2[k] and also for Expo_noise_matrix[k] (if t...

Hi Jonas, I think you can use the Multiple Objectives feature of Gurobi. With Model.setObjectiveN() (for example for python) you can add your different objectives. By setting the same priority for ...

Could it be that this "external factor" is some data you read and that this differs in both scripts?

Hi Yaroslav, Since you noticed that the fingerprints are different, this is an indication that different models are solved.Did you try to export the model for both scripts to check if they indeed r...

Hi Sophie, Maybe the Gurobi example callback.py is helpful to see how a callback is included. Best regards,Marika

Hi María, How did you add your auxiliary variables?Doing like this import gurobipy as gpm = gp.Model("abs")x = m.addVars(5, vtype = gp.GRB.CONTINUOUS, name = "x")Iabs = m.addVar(vtype = gp.GRB.CON...