The next example we consider is
tune, which demonstrates the
use of our automated parameter tuning tool. This tool searches for
parameter settings that improve performance on a model. While you
would typically invoke the tool through the command line, using our
grbtune program, it can also be invoked from our APIs. We'll
provide only a cursory description of the tool here. We recommend that
you consult the Parameter Tuning Tool section of the
Gurobi Reference Manual
more precise details.
Our tuning example demonstrates a typical use of the tuning tool. You would start by invoking the tool on a model. In C:
error = GRBtunemodel(model);In Java:
model.tune();This routine solves the model multiple times, with different parameter settings, to find settings that improve performance.
Once tuning is complete, you would then use
retrieve the result. In C:
error = GRBgettuneresult(model, 0);In Java:
model.getTuneResult(0);The numerical argument indicates which tuning result to retrieve (0 is the best result, 1 is the second-best, etc.). This routine loads the requested parameter set into the environment associated with the argument model.
Once the tune parameter settings have been loaded into the model, you
can then call
Optimize to use these parameters to solve the
model, or you can call
Write to write these parameters to a