Multiple stopping criteria from matlab

Answered

Johan Gustafsson

February 13, 2022 22:30

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Hi,

I'm using Gurobi from MATLAB and I wonder if it possible to set multiple stopping criteria somehow, similar to what is described in this post, but for MATLAB? 
https://support.gurobi.com/hc/en-us/articles/360013419411-How-do-I-set-multiple-termination-criteria-for-a-model-

I think I use the "old" interface. The call looks like this:

res = gurobi(prob,gparams);

It seems that it was possible to continue on a solution in the other post, is that possible somehow with this api as well?

What I would like to do is to always run the optimization for e.g. 150 s, and then, if the MIPGAP is not good enough, continue until it does, and then stop at perhaps 5000 s.

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• Official comment

  

  Simranjit Kaur

  • Gurobi Staff

  November 16, 2025 23:43

  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 try Gurobot, our chatbot interface offering instant, expert-level support.
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  Maliheh Aramon

  • Gurobi Staff

  February 17, 2022 05:54

  Hi Johan, 

   

  The function in Matlab API to optimize a model is gurobi(model, params). Calling this function for the second time will not resume the optimization run from the point at which the run is terminated/interrupted. However, you can provide the solution found in the previous run as a MIP start for the second run.

   

  For the use-case you described, you can implement something like below:

  model = gurobi_read(filename);
  params.TimeLimit = 150;
  result = gurobi(model, params);
  if result.mipgap > desired_MIPGap
     params.TimeLimit = 5000;
     model.start = result.x;
     result = gurobi(model, params);
  end

   

  Best regards,

  Maliheh

   

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  Johan Gustafsson

  February 17, 2022 12:40

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  Hi Maliheh,

  Thank you, that makes a lot of sense, I will try this!

  Best,

  Johan

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