Dear Gurobi team,
I worked with a MILP problem with python using gurobi solver to simulate an energy system. However, the system is so complicated that aftering 2 days of running, the best solution is still not found. Now the gap is stuck at 1.85% (I set MIPGap = 1% for optimizaton) with very low contingency speed. I don't have enough time to run it again aftering modifying anything, so I want to ask if there is a way to get the current solution(values of variables) before it terminates with 1% gap? Now my model would only write and save results after best objective found.
If it is possible, could you give me a guide on how to do it? It is a large-scale problem with many variables in 10080 time steps.
Thanks a lot and I'm looking forward to your reply.
Please sign in to leave a comment.