Default Primal Heuristics
Detailed Description
implementation files (.c files) of the default primal heuristics of SCIP
Files | |
file | heur_actconsdiving.c |
LP diving heuristic that chooses fixings w.r.t. the active constraints the variable appear in. | |
file | heur_adaptivediving.c |
diving heuristic that selects adaptively between the existing, public dive sets | |
file | heur_alns.c |
Adaptive large neighborhood search heuristic that orchestrates popular LNS heuristics. | |
file | heur_bound.c |
heuristic which fixes all integer variables to a bound (lower/upper) and solves the remaining LP | |
file | heur_clique.c |
LNS heuristic using a clique partition to restrict the search neighborhood. | |
file | heur_coefdiving.c |
LP diving heuristic that chooses fixings w.r.t. the matrix coefficients. | |
file | heur_completesol.c |
COMPLETESOL - primal heuristic trying to complete given partial solutions. | |
file | heur_conflictdiving.c |
LP diving heuristic that chooses fixings w.r.t. conflict locks. | |
file | heur_crossover.c |
crossover primal heuristic | |
file | heur_dins.c |
DINS primal heuristic (according to Ghosh) | |
file | heur_distributiondiving.c |
Diving heuristic that chooses fixings w.r.t. changes in the solution density after Pryor and Chinneck. | |
file | heur_dps.c |
dynamic partition search | |
file | heur_dualval.c |
dualval primal heuristic | |
file | heur_farkasdiving.c |
LP diving heuristic that tries to construct a Farkas-proof. | |
file | heur_feaspump.c |
Objective Feasibility Pump 2.0. | |
file | heur_fixandinfer.c |
fix-and-infer primal heuristic | |
file | heur_fracdiving.c |
LP diving heuristic that chooses fixings w.r.t. the fractionalities. | |
file | heur_gins.c |
LNS heuristic that tries to delimit the search region to a neighborhood in the constraint graph. | |
file | heur_guideddiving.c |
LP diving heuristic that chooses fixings in direction of incumbent solutions. | |
file | heur_indicator.c |
handle partial solutions for linear problems with indicators and otherwise continuous variables | |
file | heur_intdiving.c |
LP diving heuristic that fixes variables with integral LP value. | |
file | heur_intshifting.c |
LP rounding heuristic that tries to recover from intermediate infeasibilities, shifts integer variables, and solves a final LP to calculate feasible values for continuous variables. | |
file | heur_linesearchdiving.c |
LP diving heuristic that fixes variables with a large difference to their root solution. | |
file | heur_localbranching.c |
Local branching heuristic according to Fischetti and Lodi. | |
file | heur_locks.c |
rounding locks primal heuristic | |
file | heur_lpface.c |
lpface primal heuristic that searches the optimal LP face inside a sub-MIP | |
file | heur_mpec.c |
mpec primal heuristic | |
file | heur_multistart.c |
multistart heuristic for convex and nonconvex MINLPs | |
file | heur_mutation.c |
LNS heuristic that tries to randomly mutate the incumbent solution. | |
file | heur_nlpdiving.c |
NLP diving heuristic that chooses fixings w.r.t. the fractionalities. | |
file | heur_objpscostdiving.c |
LP diving heuristic that changes variable's objective value instead of bounds, using pseudo cost values as guide. | |
file | heur_octane.c |
octane primal heuristic based on Balas, Ceria, Dawande, Margot, and Pataki | |
file | heur_ofins.c |
OFINS - Objective Function Induced Neighborhood Search - a primal heuristic for reoptimization. | |
file | heur_oneopt.c |
improvement heuristic that alters single variable values | |
file | heur_proximity.c |
improvement heuristic which uses an auxiliary objective instead of the original objective function which is itself added as a constraint to a sub-SCIP instance. The heuristic was presented by Matteo Fischetti and Michele Monaci. | |
file | heur_pscostdiving.c |
LP diving heuristic that chooses fixings w.r.t. the pseudo cost values. | |
file | heur_randrounding.c |
randomized LP rounding heuristic which also generates conflicts via an auxiliary probing tree | |
file | heur_rens.c |
LNS heuristic that finds the optimal rounding to a given point. | |
file | heur_reoptsols.c |
reoptsols primal heuristic | |
file | heur_repair.c |
repair primal heuristic | |
file | heur_rins.c |
LNS heuristic that combines the incumbent with the LP optimum. | |
file | heur_rootsoldiving.c |
LP diving heuristic that changes variable's objective values using root LP solution as guide. | |
file | heur_rounding.c |
LP rounding heuristic that tries to recover from intermediate infeasibilities. | |
file | heur_shiftandpropagate.c |
shiftandpropagate primal heuristic | |
file | heur_shifting.c |
LP rounding heuristic that tries to recover from intermediate infeasibilities and shifts continuous variables. | |
file | heur_simplerounding.c |
simple and fast LP rounding heuristic | |
file | heur_subnlp.c |
NLP local search primal heuristic using sub-SCIPs. | |
file | heur_sync.c |
primal heuristic that adds solutions from synchronization | |
file | heur_trivial.c |
trivial primal heuristic | |
file | heur_trivialnegation.c |
trivialnegation primal heuristic | |
file | heur_trustregion.c |
Large neighborhood search heuristic for Benders' decomposition based on trust region methods. | |
file | heur_trysol.c |
primal heuristic that tries a given solution | |
file | heur_twoopt.c |
primal heuristic to improve incumbent solution by flipping pairs of variables | |
file | heur_undercover.c |
Undercover primal heuristic for MINLPs. | |
file | heur_vbounds.c |
LNS heuristic uses the variable lower and upper bounds to determine the search neighborhood. | |
file | heur_veclendiving.c |
LP diving heuristic that rounds variables with long column vectors. | |
file | heur_zeroobj.c |
heuristic that tries to solve the problem without objective. In Gurobi, this heuristic is known as "Hail Mary" | |
file | heur_zirounding.c |
zirounding primal heuristic | |