crossover primal heuristic
Definition in file heur_crossover.c.
#include <assert.h>
#include <string.h>
#include <stdio.h>
#include "scip/scip.h"
#include "scip/scipdefplugins.h"
#include "scip/cons_linear.h"
#include "scip/heur_crossover.h"
#include "scip/pub_misc.h"
Go to the source code of this file.
Macros | |
#define | HEUR_NAME "crossover" |
#define | HEUR_DESC "LNS heuristic that fixes all variables that are identic in a couple of solutions" |
#define | HEUR_DISPCHAR 'C' |
#define | HEUR_PRIORITY -1104000 |
#define | HEUR_FREQ 30 |
#define | HEUR_FREQOFS 0 |
#define | HEUR_MAXDEPTH -1 |
#define | HEUR_TIMING SCIP_HEURTIMING_AFTERNODE |
#define | HEUR_USESSUBSCIP TRUE |
#define | DEFAULT_MAXNODES 5000LL /* maximum number of nodes to regard in the subproblem */ |
#define | DEFAULT_MINIMPROVE 0.01 /* factor by which Crossover should at least improve the incumbent */ |
#define | DEFAULT_MINNODES 50LL /* minimum number of nodes to regard in the subproblem */ |
#define | DEFAULT_MINFIXINGRATE 0.666 /* minimum percentage of integer variables that have to be fixed */ |
#define | DEFAULT_NODESOFS 500LL /* 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_LPLIMFAC 2.0 /* factor by which the limit on the number of LP depends on the node limit */ |
#define | DEFAULT_NUSEDSOLS 3 /* number of solutions that will be taken into account */ |
#define | DEFAULT_NWAITINGNODES 200LL /* number of nodes without incumbent change heuristic should wait */ |
#define | DEFAULT_RANDOMIZATION TRUE /* should the choice which sols to take be randomized? */ |
#define | DEFAULT_DONTWAITATROOT FALSE /* should the nwaitingnodes parameter be ignored at the root node? */ |
#define | DEFAULT_USELPROWS |
#define | DEFAULT_COPYCUTS |
#define | DEFAULT_PERMUTE FALSE /* should the subproblem be permuted to increase diversification? */ |
#define | HASHSIZE_SOLS 500 /* size of hash table for solution tuples in crossover heuristic */ |
#define | DEFAULT_BESTSOLLIMIT -1 /* limit on number of improving incumbent solutions in sub-CIP */ |
#define | DEFAULT_USEUCT FALSE /* should uct node selection be used at the beginning of the search? */ |
#define | DEFAULT_RANDSEED 7 /* initial random seed */ |
#define | EVENTHDLR_NAME "Crossover" |
#define | EVENTHDLR_DESC "LP event handler for " HEUR_NAME " heuristic" |
Typedefs | |
typedef struct SolTuple | SOLTUPLE |
Functions | |
static | SCIP_DECL_HASHGETKEY (hashGetKeySols) |
static | SCIP_DECL_HASHKEYEQ (hashKeyEqSols) |
static | SCIP_DECL_HASHKEYVAL (hashKeyValSols) |
static unsigned int | calculateHashKey (int *indices, int size) |
static void | sortArray (int *a, int size) |
static SCIP_RETCODE | createSolTuple (SCIP *scip, SOLTUPLE **elem, int *indices, int size, SCIP_HEURDATA *heurdata) |
static SCIP_Bool | solHasNewSource (SCIP_SOL **sols, int *selection, int selectionsize, int newsol) |
static SCIP_RETCODE | selectSolsRandomized (SCIP *scip, int *selection, SCIP_HEURDATA *heurdata, SCIP_Bool *success) |
static SCIP_RETCODE | fixVariables (SCIP *scip, SCIP_VAR **fixedvars, SCIP_Real *fixedvals, int *nfixedvars, int fixedvarssize, int *selection, SCIP_HEURDATA *heurdata, SCIP_Bool *success) |
static SCIP_RETCODE | determineVariableFixings (SCIP *scip, SCIP_VAR **fixedvars, SCIP_Real *fixedvals, int *nfixedvars, int fixedvarssize, int *selection, SCIP_HEURDATA *heurdata, SCIP_Bool *success) |
static SCIP_RETCODE | createNewSol (SCIP *scip, SCIP *subscip, SCIP_VAR **subvars, SCIP_HEUR *heur, SCIP_SOL *subsol, int *solindex, SCIP_Bool *success) |
static void | updateFailureStatistic (SCIP *scip, SCIP_HEURDATA *heurdata) |
static | SCIP_DECL_EVENTEXEC (eventExecCrossover) |
static | SCIP_DECL_HEURCOPY (heurCopyCrossover) |
static | SCIP_DECL_HEURFREE (heurFreeCrossover) |
static | SCIP_DECL_HEURINIT (heurInitCrossover) |
static | SCIP_DECL_HEUREXIT (heurExitCrossover) |
static | SCIP_DECL_HEUREXEC (heurExecCrossover) |
SCIP_RETCODE | SCIPincludeHeurCrossover (SCIP *scip) |
#define HEUR_NAME "crossover" |
Definition at line 32 of file heur_crossover.c.
Referenced by SCIP_DECL_HEURCOPY(), SCIP_DECL_HEUREXEC(), and SCIPincludeHeurCrossover().
#define HEUR_DESC "LNS heuristic that fixes all variables that are identic in a couple of solutions" |
Definition at line 33 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HEUR_DISPCHAR 'C' |
Definition at line 34 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HEUR_PRIORITY -1104000 |
Definition at line 35 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HEUR_FREQ 30 |
Definition at line 36 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HEUR_FREQOFS 0 |
Definition at line 37 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HEUR_MAXDEPTH -1 |
Definition at line 38 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HEUR_TIMING SCIP_HEURTIMING_AFTERNODE |
Definition at line 39 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HEUR_USESSUBSCIP TRUE |
does the heuristic use a secondary SCIP instance?
Definition at line 40 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_MAXNODES 5000LL /* maximum number of nodes to regard in the subproblem */ |
Definition at line 42 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_MINIMPROVE 0.01 /* factor by which Crossover should at least improve the incumbent */ |
Definition at line 43 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_MINNODES 50LL /* minimum number of nodes to regard in the subproblem */ |
Definition at line 44 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_MINFIXINGRATE 0.666 /* minimum percentage of integer variables that have to be fixed */ |
Definition at line 45 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_NODESOFS 500LL /* number of nodes added to the contingent of the total nodes */ |
Definition at line 46 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_NODESQUOT 0.1 /* subproblem nodes in relation to nodes of the original problem */ |
Definition at line 47 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_LPLIMFAC 2.0 /* factor by which the limit on the number of LP depends on the node limit */ |
Definition at line 48 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_NUSEDSOLS 3 /* number of solutions that will be taken into account */ |
Definition at line 49 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_NWAITINGNODES 200LL /* number of nodes without incumbent change heuristic should wait */ |
Definition at line 50 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_RANDOMIZATION TRUE /* should the choice which sols to take be randomized? */ |
Definition at line 51 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_DONTWAITATROOT FALSE /* should the nwaitingnodes parameter be ignored at the root node? */ |
Definition at line 52 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_USELPROWS |
Definition at line 53 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_COPYCUTS |
Definition at line 55 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_PERMUTE FALSE /* should the subproblem be permuted to increase diversification? */ |
Definition at line 58 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define HASHSIZE_SOLS 500 /* size of hash table for solution tuples in crossover heuristic */ |
Definition at line 59 of file heur_crossover.c.
Referenced by SCIP_DECL_HEURINIT().
#define DEFAULT_BESTSOLLIMIT -1 /* limit on number of improving incumbent solutions in sub-CIP */ |
Definition at line 60 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_USEUCT FALSE /* should uct node selection be used at the beginning of the search? */ |
Definition at line 61 of file heur_crossover.c.
Referenced by SCIPincludeHeurCrossover().
#define DEFAULT_RANDSEED 7 /* initial random seed */ |
Definition at line 62 of file heur_crossover.c.
Referenced by SCIP_DECL_HEURINIT().
#define EVENTHDLR_NAME "Crossover" |
Definition at line 65 of file heur_crossover.c.
Referenced by SCIP_DECL_EVENTEXEC(), and SCIP_DECL_HEUREXEC().
#define EVENTHDLR_DESC "LP event handler for " HEUR_NAME " heuristic" |
Definition at line 66 of file heur_crossover.c.
Referenced by SCIP_DECL_HEUREXEC().
typedef struct SolTuple SOLTUPLE |
Definition at line 72 of file heur_crossover.c.
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gets the hash key of a solution tuple
Definition at line 125 of file heur_crossover.c.
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returns TRUE iff both solution tuples are identical
Definition at line 133 of file heur_crossover.c.
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returns hashkey of a solution tuple
Definition at line 164 of file heur_crossover.c.
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calculates a hash key for a given tuple of solution indices
indices | indices of solutions |
size | number of solutions |
Definition at line 172 of file heur_crossover.c.
Referenced by createSolTuple().
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insertion sort for a small int array
a | array to be sorted |
size | size of array |
Definition at line 192 of file heur_crossover.c.
Referenced by createSolTuple().
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creates a new tuple of solutions
scip | original SCIP data structure |
elem | tuple of solutions which should be created |
indices | indices of solutions |
size | number of solutions |
heurdata | primal heuristic data |
Definition at line 218 of file heur_crossover.c.
References BMScopyMemoryArray, calculateHashKey(), SCIP_CALL, SCIP_OKAY, SCIPallocBlockMemory, SCIPallocBlockMemoryArray, and sortArray().
Referenced by determineVariableFixings(), SCIP_DECL_HEUREXEC(), and selectSolsRandomized().
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checks whether the new solution was found at the same node by the same heuristic as an already selected one
sols | feasible SCIP solutions |
selection | pool of solutions crossover uses |
selectionsize | size of solution pool |
newsol | candidate solution |
Definition at line 245 of file heur_crossover.c.
References FALSE, SCIPsolGetHeur(), SCIPsolGetNodenum(), and TRUE.
Referenced by selectSolsRandomized().
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randomly selects the solutions crossover will use from the pool of all solutions found so far
scip | original SCIP data structure |
selection | pool of solutions crossover uses |
heurdata | primal heuristic data |
success | pointer to store whether the process was successful |
Definition at line 266 of file heur_crossover.c.
References createSolTuple(), FALSE, NULL, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIPgetNSols(), SCIPgetSols(), SCIPhashtableExists(), SCIPhashtableInsert(), SCIPrandomGetInt(), solHasNewSource(), and TRUE.
Referenced by determineVariableFixings().
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determines the fixings for the CROSSOVER subproblem and checks whether enough fixings were found
scip | original SCIP data structure |
fixedvars | array to store source SCIP variables whose copies should be fixed in the sub-SCIP |
fixedvals | array to store solution values for variable fixing |
nfixedvars | pointer to store the number of fixed variables |
fixedvarssize | size of the arrays to store fixing variables |
selection | pool of solutions crossover will use |
heurdata | primal heuristic data |
success | pointer to store whether the problem was created successfully |
Definition at line 333 of file heur_crossover.c.
References FALSE, MAX, NULL, REALABS, SCIP_Bool, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPgetSols(), SCIPgetSolVal(), SCIPgetVarsData(), SCIPvarGetLbGlobal(), SCIPvarGetUbGlobal(), and TRUE.
Referenced by determineVariableFixings().
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creates a subproblem for subscip by fixing a number of variables
scip | original SCIP data structure |
fixedvars | array to store source SCIP variables whose copies should be fixed in the sub-SCIP |
fixedvals | array to store solution values for variable fixing |
nfixedvars | pointer to store the number of fixed variables |
fixedvarssize | size of the arrays to store fixing variables |
selection | pool of solutions crossover will use |
heurdata | primal heuristic data |
success | pointer to store whether the problem was created successfully |
Definition at line 411 of file heur_crossover.c.
References createSolTuple(), FALSE, fixVariables(), SCIP_Bool, SCIP_CALL, SCIP_Longint, SCIP_OKAY, SCIPgetNSols(), SCIPgetSols(), SCIPhashtableExists(), SCIPhashtableInsert(), SCIPsolGetHeur(), SCIPsolGetNodenum(), selectSolsRandomized(), and TRUE.
Referenced by SCIP_DECL_HEUREXEC().
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creates a new solution for the original problem by copying the solution of the subproblem
scip | original SCIP data structure |
subscip | SCIP structure of the subproblem |
subvars | the variables of the subproblem |
heur | crossover heuristic structure |
subsol | solution of the subproblem |
solindex | index of the solution |
success | used to store whether new solution was found or not |
Definition at line 495 of file heur_crossover.c.
References FALSE, NULL, SCIP_CALL, SCIP_OKAY, SCIP_Real, SCIPallocBufferArray, SCIPcreateSol(), SCIPfreeBufferArray, SCIPgetNOrigVars(), SCIPgetSolVals(), SCIPgetVarsData(), SCIPsetSolVals(), SCIPsolGetIndex(), SCIPtrySolFree(), and TRUE.
Referenced by SCIP_DECL_HEUREXEC().
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updates heurdata after a run of crossover
scip | original SCIP data structure |
heurdata | primal heuristic data |
Definition at line 541 of file heur_crossover.c.
References SCIP_LONGINT_MAX, and SCIPgetNNodes().
Referenced by SCIP_DECL_HEUREXEC().
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Definition at line 560 of file heur_crossover.c.
References EVENTHDLR_NAME, NULL, SCIP_CALL, SCIP_EVENTTYPE_LPSOLVED, SCIP_OKAY, SCIPdebugMsg, SCIPeventGetType(), SCIPeventhdlrGetName(), SCIPgetNLPs(), and SCIPinterruptSolve().
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copy method for primal heuristic plugins (called when SCIP copies plugins)
Definition at line 589 of file heur_crossover.c.
References HEUR_NAME, NULL, SCIP_CALL, SCIP_OKAY, SCIPheurGetName(), and SCIPincludeHeurCrossover().
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destructor of primal heuristic to free user data (called when SCIP is exiting)
Definition at line 603 of file heur_crossover.c.
References NULL, SCIP_OKAY, SCIPfreeBlockMemory, SCIPheurGetData(), and SCIPheurSetData().
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initialization method of primal heuristic (called after problem was transformed)
Definition at line 623 of file heur_crossover.c.
References DEFAULT_RANDSEED, HASHSIZE_SOLS, NULL, SCIP_CALL, SCIP_OKAY, SCIPblkmem(), SCIPhashtableCreate(), SCIPheurGetData(), SCIPinitializeRandomSeed(), and SCIPrandomCreate().
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deinitialization method of primal heuristic (called before transformed problem is freed)
Definition at line 657 of file heur_crossover.c.
References NULL, SCIP_OKAY, SCIPfreeBlockMemory, SCIPfreeBlockMemoryArray, SCIPhashtableFree(), SCIPheurGetData(), and SCIPrandomFree().
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execution method of primal heuristic
Definition at line 693 of file heur_crossover.c.
References createNewSol(), createSolTuple(), determineVariableFixings(), EVENTHDLR_DESC, EVENTHDLR_NAME, FALSE, HEUR_NAME, MIN, NULL, SCIP_Bool, SCIP_CALL, SCIP_CALL_ABORT, SCIP_DELAYED, SCIP_DIDNOTFIND, SCIP_DIDNOTRUN, SCIP_EVENTTYPE_LPSOLVED, SCIP_FOUNDSOL, SCIP_Longint, SCIP_OKAY, SCIP_PARAMSETTING_FAST, SCIP_PARAMSETTING_OFF, SCIP_PLUGINNOTFOUND, SCIP_Real, SCIPallocBufferArray, SCIPblkmem(), SCIPcatchEvent(), SCIPcheckCopyLimits(), SCIPcopyLargeNeighborhoodSearch(), SCIPcopyLimits(), SCIPcreate(), SCIPdebug, SCIPdebugMsg, SCIPdropEvent(), SCIPerrorMessage, SCIPfindBranchrule(), SCIPfindConshdlr(), SCIPfindNodesel(), SCIPfree(), SCIPfreeBufferArray, SCIPgetBestSol(), SCIPgetDepth(), SCIPgetLowerbound(), SCIPgetNNodes(), SCIPgetNSols(), SCIPgetSolNodenum(), SCIPgetSols(), SCIPgetUpperbound(), SCIPgetVarsData(), SCIPhashmapCreate(), SCIPhashmapFree(), SCIPhashmapGetImage(), SCIPhashtableInsert(), SCIPheurGetData(), SCIPheurGetNBestSolsFound(), SCIPheurGetNCalls(), SCIPincludeEventhdlrBasic(), SCIPinitializeRandomSeed(), SCIPisInfinity(), SCIPisParamFixed(), SCIPisStopped(), SCIPmergeVariableStatistics(), SCIPpermuteProb(), SCIPprintStatistics(), SCIPsetBoolParam(), SCIPsetIntParam(), SCIPsetLongintParam(), SCIPsetObjlimit(), SCIPsetPresolving(), SCIPsetSeparating(), SCIPsetSubscipsOff(), SCIPsolGetIndex(), SCIPsolve(), SCIPsumepsilon(), SCIPtransformProb(), SCIPwriteOrigProblem(), TRUE, and updateFailureStatistic().