methods and files provided by the default cut selectors of SCIP
A detailed description what a cut selector does and how to add a cut selector to SCIP can be found here.
|methods to include specific cut selectors into SCIP
|SCIPselectCutsHybrid (SCIP *scip, SCIP_ROW **cuts, SCIP_ROW **forcedcuts, SCIP_RANDNUMGEN *randnumgen, SCIP_Real goodscorefac, SCIP_Real badscorefac, SCIP_Real goodmaxparall, SCIP_Real maxparall, SCIP_Real dircutoffdistweight, SCIP_Real efficacyweight, SCIP_Real objparalweight, SCIP_Real intsupportweight, int ncuts, int nforcedcuts, int maxselectedcuts, int *nselectedcuts)
|hybrid cut selector
perform a cut selection algorithm for the given array of cuts
This is the selection method of the hybrid cut selector which uses a weighted sum of the efficacy, parallelism, directed cutoff distance, and the integral support. The input cuts array gets resorted s.t the selected cuts come first and the remaining ones are the end.
scip SCIP data structure cuts array with cuts to perform selection algorithm forcedcuts array with forced cuts randnumgen random number generator for tie-breaking, or NULL goodscorefac factor of best score among the given cuts to consider a cut good and filter with less strict settings of the maximum parallelism badscorefac factor of best score among the given cuts to consider a cut bad and discard it regardless of its parallelism to other cuts goodmaxparall maximum parallelism for good cuts maxparall maximum parallelism for non-good cuts dircutoffdistweight weight of directed cutoff distance in cut score calculation efficacyweight weight of efficacy in cut score calculation objparalweight weight of objective parallelism in cut score calculation intsupportweight weight of integral support in cut score calculation ncuts number of cuts in cuts array nforcedcuts number of forced cuts maxselectedcuts maximal number of cuts from cuts array to select nselectedcuts pointer to return number of selected cuts from cuts array