How can I speed up the running time?
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Dear Gurobi community,
I have a MILP model coded in python and solved by Gurobi. It has 216 SOS constraints, 5330 non-negative continuous variables and 0 integer (0 binary) variable. It takes almost 490s to solve the problem.
Can you please give me any insights to speed up the running time?
Here is the log file: https://www.dropbox.com/s/ew5tccte0gbthov/log_linear_pipe.txt?dl=0
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This is a cross-post to Speed up Gurobi to solve an MILP.
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Hi,
As mattmilten already mentioned in the post at Stackoverflow, you should not increase the feasibility tolerance that much, because it deteriorates the quality of your solution. Did you have a look at the documentation on most important parameters for MIP models?
Best regards,
Jaromił0 -
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Hi Jaromil,
Yes, I almost tried different parameters for the MILP model. I could reduce the running time to 99.71 seconds by changing the NodeMethod to 0, the Method to 1 and using the maximum feasibility tolerance but still, I need a faster solution.
Regarding the feasibility tolerance, I understand your point. However, if I reduce the feasibility tolerance, it becomes really slow. So, I'm looking for a way to reaching a reasonable solution in a short time.
Thank you!
Armaghan
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Hi Armaghan,
You could also try the Gurobi tuning tool.
Best regards,
Jaromił0 -
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