atefeh Behzadi

Thank you. I have a question about the method that Gurobi employs to find the best objective function. In many of my optimization models, the Best Bound of Objective Bounds is not feasible, especia...

Yes, i guess it too. Thanks a lot. 

Yes, but it is very weird because when i want to limit some variables it takes more time. in this special problem when i set this heuristics solver parameter model.setParam(GRB.Param.Heuristics, 0....

I tried it but it doesn't work (it's same as before). i have a constraint such as:  model.addConstr(aux1[edge] == fix * mass_edge[edge] * Bp[edge])model.addConstr(D_edge[edge] * D_edge[edge] >= (au...

 I think it is better I use the root 2 in objective function for that. Can i implement it by  Model.addGenConstrPow()? 

Thanks.https://app.box.com/s/0n6wu03jh4xmof86rltg1vlsm4u4ut86 

https://www.filemail.com/d/vtunbazcnlivjzs   

Thank you.  Here is file link of my code. https://www.filemail.com/d/xldiqdqckummbbe  for example if i set the objective function without the D_edge variable it works well( such as this file), but ...

this constraint is related to the determination of pipe sizes in district heating network. D_edge is diameter of each pipe, mass_edge is mass rate in each pipe and Bp is binary variable for selecti...

Thanks for your response.  This is constraint in my code: for edge in df_edges.index:       model.addConstr((D_edge[edge] * D_edge[edge]) >= (4 * 10e6 * mass_edge[edge] * Bp[edge]) /        (3600 *...