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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  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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