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Tuning error: Unable to improve on baseline parameter set

Answered
Seyedeharmaghan Bahreini
  • Edited
Gurobi-versary
First Comment
First Question

Dear Gurobi community,

I have a MILP model coded in python and I use Gurobi solver. It has 360 SOS constraints, 8869 continuous variables and 0 integer (0 binary) variable. It runs for hours without any solutions. So, I used the Gurobi tuning tool to find the best settings to solve this problem. However, I got this error:

"Tested 10 parameter sets in 108083.22s
Unable to improve on baseline parameter set."

Can you please give me any insights to solve this error?

 

Here is the tuning log file: https://www.dropbox.com/s/x9fe65obljhy16i/log_12dt14dx_pipe.txt?dl=0

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  • Official comment
    Simranjit Kaur
    Gurobi Staff Gurobi Staff
    This post is more than three years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum. Or why not try our AI Gurobot?.
  • Matthias Miltenberger
    Gurobi Staff Gurobi Staff
    • Edited

    Hi!

    This seems to be a pretty difficult problem. The tuning tool works best if the baseline runs already find a solution - in your case, all runs were unsuccessful and so there are no hints on how to improve the performance. As a rule of thumb, you should try testing around 100 parameter sets to see some significant improvements coming from the tuner - 10 is definitely not enough.

    I suggest dialing up heuristics and also try the NoRelHeurWork or NoRelHeurTime parameters. Another useful parameter might be MIPFocus=1 to try to find a feasible solution at all.

    It might also be that this instance is just extremely hard and you need to spend significantly more time to solve it.

    Cheers,
    Matthias

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