atefeh Behzadi
- Total activity 21
- Last activity
- Member since
- Following 0 users
- Followed by 0 users
- Votes 0
- Subscriptions 4
Activity overview
Latest activity by atefeh Behzadi-
atefeh Behzadi created a post,
Getting Stuck in gap in MIP optimization model
AnsweredI have developed an MIP optimization model for designing a district heating network. The objective of the optimization is to minimize the cost associated with the piping infrastructure. In the code...
-
atefeh Behzadi commented,
Thanks to your recommendation, I upgraded my Gurobi from version 10 to 11.0.0. However, I have issues with the updated version, and it is not functioning as expected, even for problems that worked ...
-
atefeh Behzadi commented,
fix_num = 4 * 1000 # numeratorfix_den = 3.6 * 3.14 * ro * V_max # denominatorfor edge in df_edges.index: model.addConstr(fix_den * D_edge_2[edge] * D_edge_2[edge] == fix_num * mass_edge[edge])
-
atefeh Behzadi commented,
Thank you very much for your assistance; I have implemented all of your suggestions. However, I have a challenge in finding the Incumbent of the objective function. I believe this issue may be a...
-
atefeh Behzadi created a post,
Problem in optimization of MIP model
AnsweredHello, I have an optimization model in Gurobi optimization in python which has two binary variables and one non convex constraint, I have a problem with finding the initial point. I think The BestB...
-
atefeh Behzadi commented,
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...
-
atefeh Behzadi created a post,
Modeling Issue
AnsweredI have developed an optimization model for the design of district heating network pipes. My objective is to identify the presence of each pipe in the network and finalize the network design. To ach...
-
atefeh Behzadi commented,
Yes, i guess it too. Thanks a lot.
-
atefeh Behzadi commented,
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....
-
atefeh Behzadi commented,
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...