Simranjit Kaur

Hi Milin,  It is not possible to save a snapshot of the optimizer state to a disk. One cannot store the branch-and-bound tree or the presolve transformations. However, you can store the solution at...

Hi Milin, Calling the optimize() method again on a model will continue the optimisation process from the last state where the optimizer had stopped. Please see a sample code below. import gurobipy...

Hi Fabio, You may find our knowledge base article on how to avoid an out-of-memory condition useful:How do I avoid an out-of-memory condition? It may also be helpful to set the SoftMemLimit paramet...

Hi Alejandro, While you are trying to produce a smaller example, you can also do the following to get more insights into the behaviour you are observing: Confirm if your original model was solved ...

Hi Alejandro, I am trying to do a sensitivity analysis on a MILP model. After solving the original problem I am trying to modify the bounds of some variables to make the model more restrictive. Ho...

In multi-objective models, the tolerance by which a higher-priority objective can be degraded is mainly defined by the parameters MIPGap and MIPGapAbs. The ObjNxxxTol attributes are only used to fu...

In GRBModel.SetObjectiveN(), abstol initialises the ObjNAbsTol attribute for the objective. You can set it to its default value of 1e-6.

Hi Rayan, Your implementation should work fine if you want to add the constraint:                       u[i,c,j,t]=1 implies h[k,d,j,t] = 0 for all h variables where k != i and d !=c. However, if y...

Hi Koen, Thanks for sharing the logs, MIP start files and model files. I noticed that you have provided a partial MIP start with values for 135 binary variables out of 329,147 binary variables, whi...

Hi Koen, The Gurobi parameter tuning tool will consider all parameters while tuning the model, not just a subset. For this reason, it is more likely to find a significant improvement if you let it ...