Adding Constraint in a Loop; Turn off 'Warm Start'

Answered

Wenbo Ma

December 01, 2022 17:23

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Hi,

I have an algorithm which contains a loop. At each iteration, I calculate some parameter values and add a new constraint to the existing model and solve. The way I implement it is: I initiate a model (let's call it m) outside the loop. And within the loop, I add a new constraint by calling m.addConstr and then m.optimize(). However, the model now uses the solution from the previous iteration. Is there any way I can turn off this 'warm start' and let the model just forget the solution from last iteration? 

 

I am on gurobipy. Thanks.

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  Simranjit Kaur

  • Gurobi Staff

  November 13, 2026 01:52

  This post is more than two 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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  Jaromił Najman

  • Gurobi Staff

  December 05, 2022 09:03

  Hi Wenbo,

  Is there any way I can turn off this 'warm start' and let the model just forget the solution from last iteration? 

  You can either set the LPWarmStart parameter to 0 or call the model.reset() method.

  Best regards, 
  Jaromił

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