Hello,
I am using Cplex 20.1 with the Python API to solve a MILP model.
I have a set of valid inequalities to strenghten the lower bound (but this does not change the set of feasible solutions).
As this is a small set of inequalities (of linear size) I add them frontally to the model, without the use of any callback.
However, I observe that using these inequalities seems to slow down the convergence, apparently because the primal bound is worse in this case.
I was wondering if when adding a constraint to the model, it was possible to indicate to Cplex that this constraint is added only for dual bound strenghtening (so that the primal heuristics are not impacted).
Can I do that without using a UserCut callback ? Should I use a Generic callback ?
I am under the impression that it is more efficient to avoid callbacks whenever possible.
Thanks a lot for any advice on this!
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Ccl _
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