heur_zeroobj.c

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/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
/*                                                                           */
/*                  This file is part of the program and library             */
/*         SCIP --- Solving Constraint Integer Programs                      */
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/*  Copyright (c) 2002-2024 Zuse Institute Berlin (ZIB)                      */
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/**@file   heur_zeroobj.c
 * @ingroup DEFPLUGINS_HEUR
 * @brief  heuristic that tries to solve the problem without objective. In Gurobi, this heuristic is known as "Hail Mary"
 * @author Timo Berthold
 */
 
/*---+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0----+----1----+----2*/
 
#include "blockmemshell/memory.h"
#include "scip/cons_linear.h"
#include "scip/heur_zeroobj.h"
#include "scip/pub_event.h"
#include "scip/pub_heur.h"
#include "scip/pub_message.h"
#include "scip/pub_misc.h"
#include "scip/pub_var.h"
#include "scip/scip_branch.h"
#include "scip/scip_cons.h"
#include "scip/scip_copy.h"
#include "scip/scip_event.h"
#include "scip/scip_general.h"
#include "scip/scip_heur.h"
#include "scip/scip_lp.h"
#include "scip/scip_mem.h"
#include "scip/scip_message.h"
#include "scip/scip_nodesel.h"
#include "scip/scip_numerics.h"
#include "scip/scip_param.h"
#include "scip/scip_prob.h"
#include "scip/scip_sol.h"
#include "scip/scip_solve.h"
#include "scip/scip_solvingstats.h"
#include "scip/scip_tree.h"
#include "scip/scip_var.h"
#include <string.h>
 
#define HEUR_NAME             "zeroobj"
#define HEUR_DESC             "heuristic trying to solve the problem without objective"
#define HEUR_DISPCHAR         SCIP_HEURDISPCHAR_LNS
#define HEUR_PRIORITY         100
#define HEUR_FREQ             -1
#define HEUR_FREQOFS          0
#define HEUR_MAXDEPTH         0
#define HEUR_TIMING           SCIP_HEURTIMING_BEFORENODE | SCIP_HEURTIMING_BEFOREPRESOL
#define HEUR_USESSUBSCIP      TRUE  /**< does the heuristic use a secondary SCIP instance? */
 
/* event handler properties */
#define EVENTHDLR_NAME         "Zeroobj"
#define EVENTHDLR_DESC         "LP event handler for " HEUR_NAME " heuristic"
 
/* default values for zeroobj-specific plugins */
#define DEFAULT_MAXNODES      1000LL    /* maximum number of nodes to regard in the subproblem                       */
#define DEFAULT_MINIMPROVE    0.01      /* factor by which zeroobj should at least improve the incumbent             */
#define DEFAULT_MINNODES      100LL     /* minimum number of nodes to regard in the subproblem                       */
#define DEFAULT_MAXLPITERS    5000LL    /* maximum number of LP iterations to be performed in the subproblem         */
#define DEFAULT_NODESOFS      100LL     /* number of nodes added to the contingent of the total nodes                */
#define DEFAULT_NODESQUOT     0.1       /* subproblem nodes in relation to nodes of the original problem             */
#define DEFAULT_ADDALLSOLS    FALSE     /* should all subproblem solutions be added to the original SCIP?            */
#define DEFAULT_ONLYWITHOUTSOL   TRUE   /**< should heuristic only be executed if no primal solution was found, yet? */
#define DEFAULT_USEUCT        FALSE     /* should uct node selection be used at the beginning of the search?     */
 
/*
 * Data structures
 */
 
/** primal heuristic data */
struct SCIP_HeurData
{
   SCIP_Longint          maxnodes;           /**< maximum number of nodes to regard in the subproblem                 */
   SCIP_Longint          minnodes;           /**< minimum number of nodes to regard in the subproblem                 */
   SCIP_Longint          maxlpiters;         /**< maximum number of LP iterations to be performed in the subproblem   */
   SCIP_Longint          nodesofs;           /**< number of nodes added to the contingent of the total nodes          */
   SCIP_Longint          usednodes;          /**< nodes already used by zeroobj in earlier calls                      */
   SCIP_Real             minimprove;         /**< factor by which zeroobj should at least improve the incumbent       */
   SCIP_Real             nodesquot;          /**< subproblem nodes in relation to nodes of the original problem       */
   SCIP_Bool             addallsols;         /**< should all subproblem solutions be added to the original SCIP?      */
   SCIP_Bool             onlywithoutsol;     /**< should heuristic only be executed if no primal solution was found, yet? */
   SCIP_Bool             useuct;             /**< should uct node selection be used at the beginning of the search?  */
};
 
 
/*
 * Local methods
 */
 
/* ---------------- Callback methods of event handler ---------------- */
 
/* exec the event handler
 *
 * we interrupt the solution process
 */
static
SCIP_DECL_EVENTEXEC(eventExecZeroobj)
{
   SCIP_HEURDATA* heurdata;
 
   assert(eventhdlr != NULL);
   assert(eventdata != NULL);
   assert(strcmp(SCIPeventhdlrGetName(eventhdlr), EVENTHDLR_NAME) == 0);
   assert(event != NULL);
   assert(SCIPeventGetType(event) & SCIP_EVENTTYPE_NODESOLVED);
 
   heurdata = (SCIP_HEURDATA*)eventdata;
   assert(heurdata != NULL);
 
   /* interrupt solution process of sub-SCIP */
   if( SCIPgetLPSolstat(scip) == SCIP_LPSOLSTAT_ITERLIMIT || SCIPgetNLPIterations(scip) >= heurdata->maxlpiters )
   {
      SCIP_CALL( SCIPinterruptSolve(scip) );
   }
 
   return SCIP_OKAY;
}
/* ---------------- Callback methods of primal heuristic ---------------- */
 
/** copy method for primal heuristic plugins (called when SCIP copies plugins) */
static
SCIP_DECL_HEURCOPY(heurCopyZeroobj)
{  /*lint --e{715}*/
   assert(scip != NULL);
   assert(heur != NULL);
   assert(strcmp(SCIPheurGetName(heur), HEUR_NAME) == 0);
 
   /* call inclusion method of primal heuristic */
   SCIP_CALL( SCIPincludeHeurZeroobj(scip) );
 
   return SCIP_OKAY;
}
 
/** destructor of primal heuristic to free user data (called when SCIP is exiting) */
static
SCIP_DECL_HEURFREE(heurFreeZeroobj)
{  /*lint --e{715}*/
   SCIP_HEURDATA* heurdata;
 
   assert( heur != NULL );
   assert( scip != NULL );
 
   /* get heuristic data */
   heurdata = SCIPheurGetData(heur);
   assert( heurdata != NULL );
 
   /* free heuristic data */
   SCIPfreeBlockMemory(scip, &heurdata);
   SCIPheurSetData(heur, NULL);
 
   return SCIP_OKAY;
}
 
 
/** initialization method of primal heuristic (called after problem was transformed) */
static
SCIP_DECL_HEURINIT(heurInitZeroobj)
{  /*lint --e{715}*/
   SCIP_HEURDATA* heurdata;
 
   assert( heur != NULL );
   assert( scip != NULL );
 
   /* get heuristic data */
   heurdata = SCIPheurGetData(heur);
   assert( heurdata != NULL );
 
   /* initialize data */
   heurdata->usednodes = 0;
 
   return SCIP_OKAY;
}
 
 
/** execution method of primal heuristic */
static
SCIP_DECL_HEUREXEC(heurExecZeroobj)
{  /*lint --e{715}*/
   SCIP_HEURDATA* heurdata;                  /* heuristic's data                    */
   SCIP_Longint nnodes;                 /* number of stalling nodes for the subproblem */
 
   assert( heur != NULL );
   assert( scip != NULL );
   assert( result != NULL );
 
   /* get heuristic data */
   heurdata = SCIPheurGetData(heur);
   assert( heurdata != NULL );
 
   /* calculate the maximal number of branching nodes until heuristic is aborted */
   nnodes = (SCIP_Longint)(heurdata->nodesquot * SCIPgetNNodes(scip));
 
   /* reward zeroobj if it succeeded often */
   nnodes = (SCIP_Longint)(nnodes * 3.0 * (SCIPheurGetNBestSolsFound(heur)+1.0)/(SCIPheurGetNCalls(heur) + 1.0));
   nnodes -= 100 * SCIPheurGetNCalls(heur);  /* count the setup costs for the sub-SCIP as 100 nodes */
   nnodes += heurdata->nodesofs;
 
   /* determine the node limit for the current process */
   nnodes -= heurdata->usednodes;
   nnodes = MIN(nnodes, heurdata->maxnodes);
 
   /* check whether we have enough nodes left to call subproblem solving */
   if( nnodes < heurdata->minnodes )
   {
      SCIPdebugMsg(scip, "skipping zeroobj: nnodes=%" SCIP_LONGINT_FORMAT ", minnodes=%" SCIP_LONGINT_FORMAT "\n", nnodes, heurdata->minnodes);
      return SCIP_OKAY;
   }
 
   /* do not run zeroobj, if the problem does not have an objective function anyway */
   if( SCIPgetNObjVars(scip) == 0 )
   {
      SCIPdebugMsg(scip, "skipping zeroobj: pure feasibility problem anyway\n");
      return SCIP_OKAY;
   }
 
   if( SCIPisStopped(scip) )
      return SCIP_OKAY;
 
   SCIP_CALL( SCIPapplyZeroobj(scip, heur, result, heurdata->minimprove, nnodes) );
 
   return SCIP_OKAY;
}
 
/** setup and solve subscip */
static
SCIP_RETCODE setupAndSolveSubscip(
   SCIP*                 scip,               /**< SCIP data structure */
   SCIP*                 subscip,            /**< SCIP data structure */
   SCIP_HEUR*            heur,               /**< heuristic data structure */
   SCIP_RESULT*          result,             /**< result data structure */
   SCIP_Real             minimprove,         /**< factor by which zeroobj should at least improve the incumbent */
   SCIP_Longint          nnodes              /**< node limit for the subproblem */
   )
{
   SCIP_Real cutoff;                         /* objective cutoff for the subproblem             */
   SCIP_Real large;
   SCIP_HASHMAP*         varmapfw;           /* mapping of SCIP variables to sub-SCIP variables */
   SCIP_VAR**            vars;               /* original problem's variables                    */
   SCIP_VAR**            subvars;            /* subproblem's variables                          */
   SCIP_SOL** subsols;
   SCIP_HEURDATA*        heurdata;           /* heuristic's private data structure              */
   SCIP_EVENTHDLR*       eventhdlr;          /* event handler for LP events                     */
 
   int nsubsols;
   int nvars;                                /* number of original problem's variables          */
   int i;
   SCIP_Bool success;
   SCIP_Bool valid;
 
   assert(scip != NULL);
   assert(subscip != NULL);
   assert(heur != NULL);
   assert(result != NULL);
 
   heurdata = SCIPheurGetData(heur);
   assert(heurdata != NULL);
 
   /* get variable data */
   SCIP_CALL( SCIPgetVarsData(scip, &vars, &nvars, NULL, NULL, NULL, NULL) );
 
   /* create the variable mapping hash map */
   SCIP_CALL( SCIPhashmapCreate(&varmapfw, SCIPblkmem(subscip), nvars) );
   SCIP_CALL( SCIPallocBufferArray(scip, &subvars, nvars) );
 
   /* different methods to create sub-problem: either copy LP relaxation or the CIP with all constraints */
   valid = FALSE;
 
   /* copy complete SCIP instance */
   SCIP_CALL( SCIPcopy(scip, subscip, varmapfw, NULL, "zeroobj",  TRUE, FALSE, FALSE, TRUE, &valid) );
   SCIPdebugMsg(scip, "Copying the SCIP instance was %s complete.\n", valid ? "" : "not ");
 
   /* create event handler for LP events */
   eventhdlr = NULL;
   SCIP_CALL( SCIPincludeEventhdlrBasic(subscip, &eventhdlr, EVENTHDLR_NAME, EVENTHDLR_DESC, eventExecZeroobj, NULL) );
   if( eventhdlr == NULL )
   {
      SCIPerrorMessage("event handler for " HEUR_NAME " heuristic not found.\n");
      return SCIP_PLUGINNOTFOUND;
   }
 
   /* determine large value to set variables to */
   large = SCIPinfinity(scip);
   if( !SCIPisInfinity(scip, 0.1 / SCIPfeastol(scip)) )
      large = 0.1 / SCIPfeastol(scip);
 
   /* get variable image and change to 0.0 in sub-SCIP */
   for( i = 0; i < nvars; i++ )
   {
      SCIP_Real adjustedbound;
      SCIP_Real lb;
      SCIP_Real ub;
      SCIP_Real inf;
 
      subvars[i] = (SCIP_VAR*) SCIPhashmapGetImage(varmapfw, vars[i]);
      if( subvars[i] == NULL )
         continue;
 
      SCIP_CALL( SCIPchgVarObj(subscip, subvars[i], 0.0) );
 
      lb = SCIPvarGetLbGlobal(subvars[i]);
      ub = SCIPvarGetUbGlobal(subvars[i]);
      inf = SCIPinfinity(subscip);
 
      /* adjust infinite bounds in order to avoid that variables with non-zero objective 
       * get fixed to infinite value in zeroobj subproblem
       */
      if( SCIPisInfinity(subscip, ub ) )
      {
         adjustedbound = MAX(large, lb+large);
         adjustedbound = MIN(adjustedbound, inf);
         SCIP_CALL( SCIPchgVarUbGlobal(subscip, subvars[i], adjustedbound) );
      }
      if( SCIPisInfinity(subscip, -lb ) )
      {
         adjustedbound = MIN(-large, ub-large);
         adjustedbound = MAX(adjustedbound, -inf);
         SCIP_CALL( SCIPchgVarLbGlobal(subscip, subvars[i], adjustedbound) );
      }
   }
 
   /* free hash map */
   SCIPhashmapFree(&varmapfw);
 
   /* do not abort subproblem on CTRL-C */
   SCIP_CALL( SCIPsetBoolParam(subscip, "misc/catchctrlc", FALSE) );
 
#ifdef SCIP_DEBUG
   /* for debugging, enable full output */
   SCIP_CALL( SCIPsetIntParam(subscip, "display/verblevel", 5) );
   SCIP_CALL( SCIPsetIntParam(subscip, "display/freq", 100000000) );
#else
   /* disable statistic timing inside sub SCIP and output to console */
   SCIP_CALL( SCIPsetIntParam(subscip, "display/verblevel", 0) );
   SCIP_CALL( SCIPsetBoolParam(subscip, "timing/statistictiming", FALSE) );
#endif
 
   /* set limits for the subproblem */
   SCIP_CALL( SCIPcopyLimits(scip, subscip) );
   SCIP_CALL( SCIPsetLongintParam(subscip, "limits/nodes", nnodes) );
   SCIP_CALL( SCIPsetIntParam(subscip, "limits/solutions", 1) );
 
   /* forbid recursive call of heuristics and separators solving sub-SCIPs */
   SCIP_CALL( SCIPsetSubscipsOff(subscip, TRUE) );
 
   /* disable expensive techniques that merely work on the dual bound */
 
   /* disable cutting plane separation */
   SCIP_CALL( SCIPsetSeparating(subscip, SCIP_PARAMSETTING_OFF, TRUE) );
 
   /* disable expensive presolving */
   SCIP_CALL( SCIPsetPresolving(subscip, SCIP_PARAMSETTING_FAST, TRUE) );
   if( !SCIPisParamFixed(subscip, "presolving/maxrounds") )
   {
      SCIP_CALL( SCIPsetIntParam(subscip, "presolving/maxrounds", 50) );
   }
 
   /* use restart dfs node selection */
   if( SCIPfindNodesel(subscip, "restartdfs") != NULL && !SCIPisParamFixed(subscip, "nodeselection/restartdfs/stdpriority") )
   {
      SCIP_CALL( SCIPsetIntParam(subscip, "nodeselection/restartdfs/stdpriority", INT_MAX/4) );
   }
 
   /* activate uct node selection at the top of the tree */
   if( heurdata->useuct && SCIPfindNodesel(subscip, "uct") != NULL && !SCIPisParamFixed(subscip, "nodeselection/uct/stdpriority") )
   {
      SCIP_CALL( SCIPsetIntParam(subscip, "nodeselection/uct/stdpriority", INT_MAX/2) );
   }
   /* use least infeasible branching */
   if( SCIPfindBranchrule(subscip, "leastinf") != NULL && !SCIPisParamFixed(subscip, "branching/leastinf/priority") )
   {
      SCIP_CALL( SCIPsetIntParam(subscip, "branching/leastinf/priority", INT_MAX/4) );
   }
 
   /* disable feaspump and fracdiving */
   if( !SCIPisParamFixed(subscip, "heuristics/feaspump/freq") )
   {
      SCIP_CALL( SCIPsetIntParam(subscip, "heuristics/feaspump/freq", -1) );
   }
   if( !SCIPisParamFixed(subscip, "heuristics/fracdiving/freq") )
   {
      SCIP_CALL( SCIPsetIntParam(subscip, "heuristics/fracdiving/freq", -1) );
   }
 
   /* speed up sub-SCIP by not checking dual LP feasibility */
   SCIP_CALL( SCIPsetBoolParam(subscip, "lp/checkdualfeas", FALSE) );
 
   /* restrict LP iterations */
   SCIP_CALL( SCIPsetLongintParam(subscip, "lp/iterlim", 2*heurdata->maxlpiters / MAX(1,nnodes)) );
   SCIP_CALL( SCIPsetLongintParam(subscip, "lp/rootiterlim", heurdata->maxlpiters) );
 
   /* if there is already a solution, add an objective cutoff */
   if( SCIPgetNSols(scip) > 0 )
   {
      SCIP_Real upperbound;
      SCIP_CONS* origobjcons;
#ifndef NDEBUG
      int nobjvars;
      nobjvars = 0;
#endif
 
      assert( !SCIPisInfinity(scip,SCIPgetUpperbound(scip)) );
 
      upperbound = SCIPgetUpperbound(scip) - SCIPsumepsilon(scip);
 
      if( !SCIPisInfinity(scip,-1.0*SCIPgetLowerbound(scip)) )
      {
         cutoff = (1-minimprove)*SCIPgetUpperbound(scip) + minimprove*SCIPgetLowerbound(scip);
      }
      else
      {
         if( SCIPgetUpperbound(scip) >= 0 )
            cutoff = ( 1 - minimprove ) * SCIPgetUpperbound ( scip );
         else
            cutoff = ( 1 + minimprove ) * SCIPgetUpperbound ( scip );
      }
      cutoff = MIN(upperbound, cutoff);
 
      SCIP_CALL( SCIPcreateConsLinear(subscip, &origobjcons, "objbound_of_origscip", 0, NULL, NULL, -SCIPinfinity(subscip), cutoff,
            TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, FALSE, FALSE, FALSE, FALSE) );
      for( i = 0; i < nvars; ++i)
      {
         if( !SCIPisFeasZero(subscip, SCIPvarGetObj(vars[i])) )
         {
            assert(subvars[i] != NULL);  /* subvars[i] can be NULL for relax-only vars, but they cannot appear in the objective */
            SCIP_CALL( SCIPaddCoefLinear(subscip, origobjcons, subvars[i], SCIPvarGetObj(vars[i])) );
#ifndef NDEBUG
            nobjvars++;
#endif
         }
      }
      SCIP_CALL( SCIPaddCons(subscip, origobjcons) );
      SCIP_CALL( SCIPreleaseCons(subscip, &origobjcons) );
      assert(nobjvars == SCIPgetNObjVars(scip));
   }
 
   /* catch LP events of sub-SCIP */
   SCIP_CALL( SCIPtransformProb(subscip) );
   SCIP_CALL( SCIPcatchEvent(subscip, SCIP_EVENTTYPE_NODESOLVED, eventhdlr, (SCIP_EVENTDATA*) heurdata, NULL) );
 
   SCIPdebugMsg(scip, "solving subproblem: nnodes=%" SCIP_LONGINT_FORMAT "\n", nnodes);
 
   /* errors in solving the subproblem should not kill the overall solving process;
    * hence, the return code is caught and a warning is printed, only in debug mode, SCIP will stop.
    */
   SCIP_CALL_ABORT( SCIPsolve(subscip) );
 
   /* drop LP events of sub-SCIP */
   SCIP_CALL( SCIPdropEvent(subscip, SCIP_EVENTTYPE_NODESOLVED, eventhdlr, (SCIP_EVENTDATA*) heurdata, -1) );
 
   /* check, whether a solution was found;
    * due to numerics, it might happen that not all solutions are feasible -> try all solutions until one was accepted
    */
   nsubsols = SCIPgetNSols(subscip);
   subsols = SCIPgetSols(subscip);
   success = FALSE;
   for( i = 0; i < nsubsols && (!success || heurdata->addallsols); ++i )
   {
      SCIP_SOL* newsol;
 
      SCIP_CALL( SCIPtranslateSubSol(scip, subscip, subsols[i], heur, subvars, &newsol) );
 
      SCIP_CALL( SCIPtrySolFree(scip, &newsol, FALSE, FALSE, TRUE, TRUE, TRUE, &success) );
      if( success )
         *result = SCIP_FOUNDSOL;
   }
 
#ifdef SCIP_DEBUG
   SCIP_CALL( SCIPprintStatistics(subscip, NULL) );
#endif
 
   /* free subproblem */
   SCIPfreeBufferArray(scip, &subvars);
 
   return SCIP_OKAY;
}
 
 
/*
 * primal heuristic specific interface methods
 */
 
 
/** main procedure of the zeroobj heuristic, creates and solves a sub-SCIP */
SCIP_RETCODE SCIPapplyZeroobj(
   SCIP*                 scip,               /**< original SCIP data structure                                        */
   SCIP_HEUR*            heur,               /**< heuristic data structure                                            */
   SCIP_RESULT*          result,             /**< result data structure                                               */
   SCIP_Real             minimprove,         /**< factor by which zeroobj should at least improve the incumbent      */
   SCIP_Longint          nnodes              /**< node limit for the subproblem                                       */
   )
{
   SCIP*                 subscip;            /* the subproblem created by zeroobj              */
   SCIP_HEURDATA*        heurdata;           /* heuristic's private data structure              */
   SCIP_Bool             success;
   SCIP_RETCODE          retcode;
 
   assert(scip != NULL);
   assert(heur != NULL);
   assert(result != NULL);
 
   assert(nnodes >= 0);
   assert(0.0 <= minimprove && minimprove <= 1.0);
 
   *result = SCIP_DIDNOTRUN;
 
   /* only call heuristic once at the root */
   if( SCIPgetDepth(scip) <= 0 && SCIPheurGetNCalls(heur) > 0 )
      return SCIP_OKAY;
 
   /* get heuristic data */
   heurdata = SCIPheurGetData(heur);
   assert(heurdata != NULL);
 
   /* only call the heuristic if we do not have an incumbent  */
   if( SCIPgetNSolsFound(scip) > 0 && heurdata->onlywithoutsol )
      return SCIP_OKAY;
 
   /* check whether there is enough time and memory left */
   SCIP_CALL( SCIPcheckCopyLimits(scip, &success) );
 
   if( !success )
      return SCIP_OKAY;
 
   *result = SCIP_DIDNOTFIND;
 
   /* initialize the subproblem */
   SCIP_CALL( SCIPcreate(&subscip) );
 
   retcode = setupAndSolveSubscip(scip, subscip, heur, result, minimprove, nnodes);
 
   SCIP_CALL( SCIPfree(&subscip) );
 
   return retcode;
}
 
 
/** creates the zeroobj primal heuristic and includes it in SCIP */
SCIP_RETCODE SCIPincludeHeurZeroobj(
   SCIP*                 scip                /**< SCIP data structure */
   )
{
   SCIP_HEURDATA* heurdata;
   SCIP_HEUR* heur;
 
   /* create heuristic data */
   SCIP_CALL( SCIPallocBlockMemory(scip, &heurdata) );
 
   /* include primal heuristic */
   heur = NULL;
   SCIP_CALL( SCIPincludeHeurBasic(scip, &heur,
         HEUR_NAME, HEUR_DESC, HEUR_DISPCHAR, HEUR_PRIORITY, HEUR_FREQ, HEUR_FREQOFS,
         HEUR_MAXDEPTH, HEUR_TIMING, HEUR_USESSUBSCIP, heurExecZeroobj, heurdata) );
   assert(heur != NULL);
 
   /* set non-NULL pointers to callback methods */
   SCIP_CALL( SCIPsetHeurCopy(scip, heur, heurCopyZeroobj) );
   SCIP_CALL( SCIPsetHeurFree(scip, heur, heurFreeZeroobj) );
   SCIP_CALL( SCIPsetHeurInit(scip, heur, heurInitZeroobj) );
 
   /* add zeroobj primal heuristic parameters */
   SCIP_CALL( SCIPaddLongintParam(scip, "heuristics/" HEUR_NAME "/maxnodes",
         "maximum number of nodes to regard in the subproblem",
         &heurdata->maxnodes, TRUE,DEFAULT_MAXNODES, 0LL, SCIP_LONGINT_MAX, NULL, NULL) );
 
   SCIP_CALL( SCIPaddLongintParam(scip, "heuristics/" HEUR_NAME "/nodesofs",
         "number of nodes added to the contingent of the total nodes",
         &heurdata->nodesofs, FALSE, DEFAULT_NODESOFS, 0LL, SCIP_LONGINT_MAX, NULL, NULL) );
 
   SCIP_CALL( SCIPaddLongintParam(scip, "heuristics/" HEUR_NAME "/minnodes",
         "minimum number of nodes required to start the subproblem",
         &heurdata->minnodes, TRUE, DEFAULT_MINNODES, 0LL, SCIP_LONGINT_MAX, NULL, NULL) );
 
   SCIP_CALL( SCIPaddLongintParam(scip, "heuristics/" HEUR_NAME "/maxlpiters",
         "maximum number of LP iterations to be performed in the subproblem",
         &heurdata->maxlpiters, TRUE, DEFAULT_MAXLPITERS, -1LL, SCIP_LONGINT_MAX, NULL, NULL) );
 
   SCIP_CALL( SCIPaddRealParam(scip, "heuristics/" HEUR_NAME "/nodesquot",
         "contingent of sub problem nodes in relation to the number of nodes of the original problem",
         &heurdata->nodesquot, FALSE, DEFAULT_NODESQUOT, 0.0, 1.0, NULL, NULL) );
 
   SCIP_CALL( SCIPaddRealParam(scip, "heuristics/" HEUR_NAME "/minimprove",
         "factor by which zeroobj should at least improve the incumbent",
         &heurdata->minimprove, TRUE, DEFAULT_MINIMPROVE, 0.0, 1.0, NULL, NULL) );
 
   SCIP_CALL( SCIPaddBoolParam(scip, "heuristics/" HEUR_NAME "/addallsols",
         "should all subproblem solutions be added to the original SCIP?",
         &heurdata->addallsols, TRUE, DEFAULT_ADDALLSOLS, NULL, NULL) );
 
   SCIP_CALL( SCIPaddBoolParam(scip, "heuristics/" HEUR_NAME "/onlywithoutsol",
         "should heuristic only be executed if no primal solution was found, yet?",
         &heurdata->onlywithoutsol, TRUE, DEFAULT_ONLYWITHOUTSOL, NULL, NULL) );
   SCIP_CALL( SCIPaddBoolParam(scip, "heuristics/" HEUR_NAME "/useuct",
         "should uct node selection be used at the beginning of the search?",
         &heurdata->useuct, TRUE, DEFAULT_USEUCT, NULL, NULL) );
 
   return SCIP_OKAY;
}