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<p>Dear all,</p>
<p>I'm working on a branch-and-price algorithm, and I want to apply
a primal heuristic each time a feasible (integer) solution.
Basically, I build a <i>schedule</i> based on this solution, and
I apply a local-search based approach to improve this schedule,
and thus to get a better feasible solution. My problem is that I
cannot create a SCIP solution since it may require
columns/variables which are not generated for the problem yet.
Actually, I do not need to create such a solution, it would be
enough if I could set a cutoff bound for the problem (that is, to
set a global upper bound for the objective, and thus nodes with
higher lowerbound could be pruned. (Note that I did not implement
primal heuristic callback due to the reasons mentioned above, but
I apply this procedure in an event handler).<br>
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<p>I could not find such a parameter in the list of all parameters,
and I could not find solution for this problem in the list server
archives. Can you help me?</p>
<p>Best regards,<br>
Marko<br>
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