Cbc  2.10.10
All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Pages
Public Member Functions | Protected Attributes | Private Member Functions | List of all members
CbcHeuristic Class Referenceabstract

Heuristic base class. More...

#include <CbcHeuristic.hpp>

+ Inheritance diagram for CbcHeuristic:
+ Collaboration diagram for CbcHeuristic:

Public Member Functions

 CbcHeuristic ()
 
 CbcHeuristic (CbcModel &model)
 
 CbcHeuristic (const CbcHeuristic &)
 
virtual ~CbcHeuristic ()
 
virtual CbcHeuristicclone () const =0
 Clone. More...
 
CbcHeuristicoperator= (const CbcHeuristic &rhs)
 Assignment operator. More...
 
virtual void setModel (CbcModel *model)
 update model (This is needed if cliques update matrix etc) More...
 
virtual void resetModel (CbcModel *model)=0
 Resets stuff if model changes. More...
 
virtual int solution (double &objectiveValue, double *newSolution)=0
 returns 0 if no solution, 1 if valid solution with better objective value than one passed in Sets solution values if good, sets objective value This is called after cuts have been added - so can not add cuts More...
 
virtual int solution2 (double &, double *, OsiCuts &)
 returns 0 if no solution, 1 if valid solution, -1 if just returning an estimate of best possible solution with better objective value than one passed in Sets solution values if good, sets objective value (only if nonzero code) This is called at same time as cut generators - so can add cuts Default is do nothing More...
 
virtual void validate ()
 Validate model i.e. sets when_ to 0 if necessary (may be NULL) More...
 
void setWhen (int value)
 Sets "when" flag - 0 off, 1 at root, 2 other than root, 3 always. More...
 
int when () const
 Gets "when" flag - 0 off, 1 at root, 2 other than root, 3 always. More...
 
void setNumberNodes (int value)
 Sets number of nodes in subtree (default 200) More...
 
int numberNodes () const
 Gets number of nodes in a subtree (default 200) More...
 
void setSwitches (int value)
 Switches (does not apply equally to all heuristics) 1 bit - stop once allowable gap on objective reached 2 bit - always do given number of passes 4 bit - weaken cutoff by 5% every 50 passes? 8 bit - if has cutoff and suminf bobbling for 20 passes then first try halving distance to best possible then try keep halving distance to known cutoff 16 bit - needs new solution to run 1024 bit - stop all heuristics on max time. More...
 
int switches () const
 Switches (does not apply equally to all heuristics) 1 bit - stop once allowable gap on objective reached 2 bit - always do given number of passes 4 bit - weaken cutoff by 5% every 50 passes? 8 bit - if has cutoff and suminf bobbling for 20 passes then first try halving distance to best possible then try keep halving distance to known cutoff 16 bit - needs new solution to run 1024 bit - stop all heuristics on max time 65536 bit and above used for temporary communication. More...
 
bool exitNow (double bestObjective) const
 Whether to exit at once on gap. More...
 
void setFeasibilityPumpOptions (int value)
 Sets feasibility pump options (-1 is off) More...
 
int feasibilityPumpOptions () const
 Gets feasibility pump options (-1 is off) More...
 
void setModelOnly (CbcModel *model)
 Just set model - do not do anything else. More...
 
void setFractionSmall (double value)
 Sets fraction of new(rows+columns)/old(rows+columns) before doing small branch and bound (default 1.0) More...
 
double fractionSmall () const
 Gets fraction of new(rows+columns)/old(rows+columns) before doing small branch and bound (default 1.0) More...
 
int numberSolutionsFound () const
 Get how many solutions the heuristic thought it got. More...
 
void incrementNumberSolutionsFound ()
 Increment how many solutions the heuristic thought it got. More...
 
int smallBranchAndBound (OsiSolverInterface *solver, int numberNodes, double *newSolution, double &newSolutionValue, double cutoff, std::string name) const
 Do mini branch and bound - return 0 not finished - no solution 1 not finished - solution 2 finished - no solution 3 finished - solution (could add global cut if finished) -1 returned on size -2 time or user event. More...
 
virtual void generateCpp (FILE *)
 Create C++ lines to get to current state. More...
 
void generateCpp (FILE *fp, const char *heuristic)
 Create C++ lines to get to current state - does work for base class. More...
 
virtual bool canDealWithOdd () const
 Returns true if can deal with "odd" problems e.g. sos type 2. More...
 
const char * heuristicName () const
 return name of heuristic More...
 
void setHeuristicName (const char *name)
 set name of heuristic More...
 
void setSeed (int value)
 Set random number generator seed. More...
 
int getSeed () const
 Get random number generator seed. More...
 
void setDecayFactor (double value)
 Sets decay factor (for howOften) on failure. More...
 
void setInputSolution (const double *solution, double objValue)
 Set input solution. More...
 
void setWhereFrom (int value)
 
int whereFrom () const
 
void setShallowDepth (int value)
 Upto this depth we call the tree shallow and the heuristic can be called multiple times. More...
 
void setHowOftenShallow (int value)
 How often to invoke the heuristics in the shallow part of the tree. More...
 
void setMinDistanceToRun (int value)
 How "far" should this node be from every other where the heuristic was run in order to allow the heuristic to run in this node, too. More...
 
virtual bool shouldHeurRun (int whereFrom)
 Check whether the heuristic should run at all 0 - before cuts at root node (or from doHeuristics) 1 - during cuts at root 2 - after root node cuts 3 - after cuts at other nodes 4 - during cuts at other nodes 8 added if previous heuristic in loop found solution. More...
 
bool shouldHeurRun_randomChoice ()
 Check whether the heuristic should run this time. More...
 
void debugNodes ()
 
void printDistanceToNodes ()
 
int numRuns () const
 how many times the heuristic has actually run More...
 
int numCouldRun () const
 How many times the heuristic could run. More...
 
double trueObjValue (double value) const
 Return objective function value with sign corrected. More...
 
bool isHeuristicInteger (const OsiSolverInterface *solver, int iColumn)
 Is it integer for heuristics? More...
 
OsiSolverInterface * cloneBut (int type)
 Clone, but ... More...
 

Protected Attributes

CbcModelmodel_
 Model. More...
 
int when_
 When flag - 0 off, 1 at root, 2 other than root, 3 always. More...
 
int numberNodes_
 Number of nodes in any sub tree. More...
 
int feasibilityPumpOptions_
 Feasibility pump options , -1 is off >=0 for feasibility pump itself -2 quick proximity search -3 longer proximity search. More...
 
double fractionSmall_
 Fraction of new(rows+columns)/old(rows+columns) before doing small branch and bound. More...
 
CoinThreadRandom randomNumberGenerator_
 Thread specific random number generator. More...
 
std::string heuristicName_
 Name for printing. More...
 
int howOften_
 How often to do (code can change) More...
 
double decayFactor_
 How much to increase how often. More...
 
int switches_
 Switches (does not apply equally to all heuristics) 1 bit - stop once allowable gap on objective reached 2 bit - always do given number of passes 4 bit - weaken cutoff by 5% every 50 passes? 8 bit - if has cutoff and suminf bobbling for 20 passes then first try halving distance to best possible then try keep halving distance to known cutoff 16 bit - needs new solution to run 1024 bit - stop all heuristics on max time. More...
 
int whereFrom_
 
int shallowDepth_
 Upto this depth we call the tree shallow and the heuristic can be called multiple times. More...
 
int howOftenShallow_
 How often to invoke the heuristics in the shallow part of the tree. More...
 
int numInvocationsInShallow_
 How many invocations happened within the same node when in a shallow part of the tree. More...
 
int numInvocationsInDeep_
 How many invocations happened when in the deep part of the tree. More...
 
int lastRunDeep_
 After how many deep invocations was the heuristic run last time. More...
 
int numRuns_
 how many times the heuristic has actually run More...
 
int minDistanceToRun_
 How "far" should this node be from every other where the heuristic was run in order to allow the heuristic to run in this node, too. More...
 
CbcHeuristicNodeList runNodes_
 The description of the nodes where this heuristic has been applied. More...
 
int numCouldRun_
 How many times the heuristic could run. More...
 
int numberSolutionsFound_
 How many solutions the heuristic thought it got. More...
 
int numberNodesDone_
 How many nodes the heuristic did this go. More...
 
double * inputSolution_
 

Private Member Functions

void gutsOfDelete ()
 
void gutsOfCopy (const CbcHeuristic &rhs)
 

Detailed Description

Heuristic base class.

Definition at line 86 of file CbcHeuristic.hpp.

Constructor & Destructor Documentation

◆ CbcHeuristic() [1/3]

CbcHeuristic::CbcHeuristic ( )

◆ CbcHeuristic() [2/3]

CbcHeuristic::CbcHeuristic ( CbcModel model)

◆ CbcHeuristic() [3/3]

CbcHeuristic::CbcHeuristic ( const CbcHeuristic )

◆ ~CbcHeuristic()

virtual CbcHeuristic::~CbcHeuristic ( )
virtual

Member Function Documentation

◆ gutsOfDelete()

void CbcHeuristic::gutsOfDelete ( )
inlineprivate

Definition at line 88 of file CbcHeuristic.hpp.

◆ gutsOfCopy()

void CbcHeuristic::gutsOfCopy ( const CbcHeuristic rhs)
private

◆ clone()

virtual CbcHeuristic* CbcHeuristic::clone ( ) const
pure virtual

◆ operator=()

CbcHeuristic& CbcHeuristic::operator= ( const CbcHeuristic rhs)

Assignment operator.

◆ setModel()

virtual void CbcHeuristic::setModel ( CbcModel model)
virtual

◆ resetModel()

virtual void CbcHeuristic::resetModel ( CbcModel model)
pure virtual

◆ solution()

virtual int CbcHeuristic::solution ( double &  objectiveValue,
double *  newSolution 
)
pure virtual

returns 0 if no solution, 1 if valid solution with better objective value than one passed in Sets solution values if good, sets objective value This is called after cuts have been added - so can not add cuts

Implemented in CbcHeuristicJustOne, CbcSerendipity, CbcHeuristicPartial, CbcRounding, CbcHeuristicDynamic3, CbcHeuristicCrossover, CbcHeuristicGreedySOS, CbcHeuristicNaive, CbcHeuristicGreedyEquality, CbcHeuristicProximity, CbcHeuristicFPump, CbcHeuristicDive, CbcHeuristicDW, CbcHeuristicLocal, CbcHeuristicRINS, CbcHeuristicVND, CbcHeuristicGreedyCover, CbcHeuristicRENS, CbcHeuristicDINS, CbcHeuristicPivotAndFix, and CbcHeuristicRandRound.

◆ solution2()

virtual int CbcHeuristic::solution2 ( double &  ,
double *  ,
OsiCuts &   
)
inlinevirtual

returns 0 if no solution, 1 if valid solution, -1 if just returning an estimate of best possible solution with better objective value than one passed in Sets solution values if good, sets objective value (only if nonzero code) This is called at same time as cut generators - so can add cuts Default is do nothing

Definition at line 131 of file CbcHeuristic.hpp.

◆ validate()

virtual void CbcHeuristic::validate ( )
inlinevirtual

Validate model i.e. sets when_ to 0 if necessary (may be NULL)

Reimplemented in CbcHeuristicJustOne, CbcHeuristicPartial, CbcRounding, CbcHeuristicGreedySOS, CbcHeuristicGreedyEquality, CbcHeuristicDive, and CbcHeuristicGreedyCover.

Definition at line 139 of file CbcHeuristic.hpp.

◆ setWhen()

void CbcHeuristic::setWhen ( int  value)
inline

Sets "when" flag - 0 off, 1 at root, 2 other than root, 3 always.

If 10 added then don't worry if validate says there are funny objects as user knows it will be fine

Definition at line 145 of file CbcHeuristic.hpp.

◆ when()

int CbcHeuristic::when ( ) const
inline

Gets "when" flag - 0 off, 1 at root, 2 other than root, 3 always.

Definition at line 150 of file CbcHeuristic.hpp.

◆ setNumberNodes()

void CbcHeuristic::setNumberNodes ( int  value)
inline

Sets number of nodes in subtree (default 200)

Definition at line 156 of file CbcHeuristic.hpp.

◆ numberNodes()

int CbcHeuristic::numberNodes ( ) const
inline

Gets number of nodes in a subtree (default 200)

Definition at line 161 of file CbcHeuristic.hpp.

◆ setSwitches()

void CbcHeuristic::setSwitches ( int  value)
inline

Switches (does not apply equally to all heuristics) 1 bit - stop once allowable gap on objective reached 2 bit - always do given number of passes 4 bit - weaken cutoff by 5% every 50 passes? 8 bit - if has cutoff and suminf bobbling for 20 passes then first try halving distance to best possible then try keep halving distance to known cutoff 16 bit - needs new solution to run 1024 bit - stop all heuristics on max time.

Definition at line 175 of file CbcHeuristic.hpp.

◆ switches()

int CbcHeuristic::switches ( ) const
inline

Switches (does not apply equally to all heuristics) 1 bit - stop once allowable gap on objective reached 2 bit - always do given number of passes 4 bit - weaken cutoff by 5% every 50 passes? 8 bit - if has cutoff and suminf bobbling for 20 passes then first try halving distance to best possible then try keep halving distance to known cutoff 16 bit - needs new solution to run 1024 bit - stop all heuristics on max time 65536 bit and above used for temporary communication.

Definition at line 190 of file CbcHeuristic.hpp.

◆ exitNow()

bool CbcHeuristic::exitNow ( double  bestObjective) const

Whether to exit at once on gap.

◆ setFeasibilityPumpOptions()

void CbcHeuristic::setFeasibilityPumpOptions ( int  value)
inline

Sets feasibility pump options (-1 is off)

Definition at line 197 of file CbcHeuristic.hpp.

◆ feasibilityPumpOptions()

int CbcHeuristic::feasibilityPumpOptions ( ) const
inline

Gets feasibility pump options (-1 is off)

Definition at line 202 of file CbcHeuristic.hpp.

◆ setModelOnly()

void CbcHeuristic::setModelOnly ( CbcModel model)
inline

Just set model - do not do anything else.

Definition at line 207 of file CbcHeuristic.hpp.

◆ setFractionSmall()

void CbcHeuristic::setFractionSmall ( double  value)
inline

Sets fraction of new(rows+columns)/old(rows+columns) before doing small branch and bound (default 1.0)

Definition at line 213 of file CbcHeuristic.hpp.

◆ fractionSmall()

double CbcHeuristic::fractionSmall ( ) const
inline

Gets fraction of new(rows+columns)/old(rows+columns) before doing small branch and bound (default 1.0)

Definition at line 218 of file CbcHeuristic.hpp.

◆ numberSolutionsFound()

int CbcHeuristic::numberSolutionsFound ( ) const
inline

Get how many solutions the heuristic thought it got.

Definition at line 223 of file CbcHeuristic.hpp.

◆ incrementNumberSolutionsFound()

void CbcHeuristic::incrementNumberSolutionsFound ( )
inline

Increment how many solutions the heuristic thought it got.

Definition at line 228 of file CbcHeuristic.hpp.

◆ smallBranchAndBound()

int CbcHeuristic::smallBranchAndBound ( OsiSolverInterface *  solver,
int  numberNodes,
double *  newSolution,
double &  newSolutionValue,
double  cutoff,
std::string  name 
) const

Do mini branch and bound - return 0 not finished - no solution 1 not finished - solution 2 finished - no solution 3 finished - solution (could add global cut if finished) -1 returned on size -2 time or user event.

◆ generateCpp() [1/2]

virtual void CbcHeuristic::generateCpp ( FILE *  )
inlinevirtual

◆ generateCpp() [2/2]

void CbcHeuristic::generateCpp ( FILE *  fp,
const char *  heuristic 
)

Create C++ lines to get to current state - does work for base class.

◆ canDealWithOdd()

virtual bool CbcHeuristic::canDealWithOdd ( ) const
inlinevirtual

Returns true if can deal with "odd" problems e.g. sos type 2.

Reimplemented in CbcHeuristicDynamic3.

Definition at line 250 of file CbcHeuristic.hpp.

◆ heuristicName()

const char* CbcHeuristic::heuristicName ( ) const
inline

return name of heuristic

Definition at line 255 of file CbcHeuristic.hpp.

◆ setHeuristicName()

void CbcHeuristic::setHeuristicName ( const char *  name)
inline

set name of heuristic

Definition at line 260 of file CbcHeuristic.hpp.

◆ setSeed()

void CbcHeuristic::setSeed ( int  value)

Set random number generator seed.

◆ getSeed()

int CbcHeuristic::getSeed ( ) const

Get random number generator seed.

◆ setDecayFactor()

void CbcHeuristic::setDecayFactor ( double  value)
inline

Sets decay factor (for howOften) on failure.

Definition at line 269 of file CbcHeuristic.hpp.

◆ setInputSolution()

void CbcHeuristic::setInputSolution ( const double *  solution,
double  objValue 
)

Set input solution.

◆ setWhereFrom()

void CbcHeuristic::setWhereFrom ( int  value)
inline

Definition at line 283 of file CbcHeuristic.hpp.

◆ whereFrom()

int CbcHeuristic::whereFrom ( ) const
inline

Definition at line 287 of file CbcHeuristic.hpp.

◆ setShallowDepth()

void CbcHeuristic::setShallowDepth ( int  value)
inline

Upto this depth we call the tree shallow and the heuristic can be called multiple times.

That is, the test whether the current node is far from the others where the jeuristic was invoked will not be done, only the frequency will be tested. After that depth the heuristic will can be invoked only once per node, right before branching. That's when it'll be tested whether the heur should run at all.

Definition at line 297 of file CbcHeuristic.hpp.

◆ setHowOftenShallow()

void CbcHeuristic::setHowOftenShallow ( int  value)
inline

How often to invoke the heuristics in the shallow part of the tree.

Definition at line 302 of file CbcHeuristic.hpp.

◆ setMinDistanceToRun()

void CbcHeuristic::setMinDistanceToRun ( int  value)
inline

How "far" should this node be from every other where the heuristic was run in order to allow the heuristic to run in this node, too.

Currently this is tested, but we may switch to avgDistanceToRun_ in the future.

Definition at line 309 of file CbcHeuristic.hpp.

◆ shouldHeurRun()

virtual bool CbcHeuristic::shouldHeurRun ( int  whereFrom)
virtual

Check whether the heuristic should run at all 0 - before cuts at root node (or from doHeuristics) 1 - during cuts at root 2 - after root node cuts 3 - after cuts at other nodes 4 - during cuts at other nodes 8 added if previous heuristic in loop found solution.

Reimplemented in CbcHeuristicPartial, and CbcRounding.

◆ shouldHeurRun_randomChoice()

bool CbcHeuristic::shouldHeurRun_randomChoice ( )

Check whether the heuristic should run this time.

◆ debugNodes()

void CbcHeuristic::debugNodes ( )

◆ printDistanceToNodes()

void CbcHeuristic::printDistanceToNodes ( )

◆ numRuns()

int CbcHeuristic::numRuns ( ) const
inline

how many times the heuristic has actually run

Definition at line 328 of file CbcHeuristic.hpp.

◆ numCouldRun()

int CbcHeuristic::numCouldRun ( ) const
inline

How many times the heuristic could run.

Definition at line 334 of file CbcHeuristic.hpp.

◆ trueObjValue()

double CbcHeuristic::trueObjValue ( double  value) const
inline

Return objective function value with sign corrected.

Definition at line 339 of file CbcHeuristic.hpp.

◆ isHeuristicInteger()

bool CbcHeuristic::isHeuristicInteger ( const OsiSolverInterface *  solver,
int  iColumn 
)
inline

Is it integer for heuristics?

Definition at line 355 of file CbcHeuristic.hpp.

◆ cloneBut()

OsiSolverInterface* CbcHeuristic::cloneBut ( int  type)

Clone, but ...

If type is

  • 0 clone the solver for the model,
  • 1 clone the continuous solver for the model
  • Add 2 to say without integer variables which are at low priority
  • Add 4 to say quite likely infeasible so give up easily (clp only).

Member Data Documentation

◆ model_

CbcModel* CbcHeuristic::model_
protected

Model.

Definition at line 372 of file CbcHeuristic.hpp.

◆ when_

int CbcHeuristic::when_
protected

When flag - 0 off, 1 at root, 2 other than root, 3 always.

Definition at line 374 of file CbcHeuristic.hpp.

◆ numberNodes_

int CbcHeuristic::numberNodes_
protected

Number of nodes in any sub tree.

Definition at line 376 of file CbcHeuristic.hpp.

◆ feasibilityPumpOptions_

int CbcHeuristic::feasibilityPumpOptions_
protected

Feasibility pump options , -1 is off >=0 for feasibility pump itself -2 quick proximity search -3 longer proximity search.

Definition at line 382 of file CbcHeuristic.hpp.

◆ fractionSmall_

double CbcHeuristic::fractionSmall_
mutableprotected

Fraction of new(rows+columns)/old(rows+columns) before doing small branch and bound.

Definition at line 384 of file CbcHeuristic.hpp.

◆ randomNumberGenerator_

CoinThreadRandom CbcHeuristic::randomNumberGenerator_
protected

Thread specific random number generator.

Definition at line 386 of file CbcHeuristic.hpp.

◆ heuristicName_

std::string CbcHeuristic::heuristicName_
protected

Name for printing.

Definition at line 388 of file CbcHeuristic.hpp.

◆ howOften_

int CbcHeuristic::howOften_
mutableprotected

How often to do (code can change)

Definition at line 391 of file CbcHeuristic.hpp.

◆ decayFactor_

double CbcHeuristic::decayFactor_
protected

How much to increase how often.

Definition at line 393 of file CbcHeuristic.hpp.

◆ switches_

int CbcHeuristic::switches_
mutableprotected

Switches (does not apply equally to all heuristics) 1 bit - stop once allowable gap on objective reached 2 bit - always do given number of passes 4 bit - weaken cutoff by 5% every 50 passes? 8 bit - if has cutoff and suminf bobbling for 20 passes then first try halving distance to best possible then try keep halving distance to known cutoff 16 bit - needs new solution to run 1024 bit - stop all heuristics on max time.

Definition at line 404 of file CbcHeuristic.hpp.

◆ whereFrom_

int CbcHeuristic::whereFrom_
protected

Definition at line 413 of file CbcHeuristic.hpp.

◆ shallowDepth_

int CbcHeuristic::shallowDepth_
protected

Upto this depth we call the tree shallow and the heuristic can be called multiple times.

That is, the test whether the current node is far from the others where the jeuristic was invoked will not be done, only the frequency will be tested. After that depth the heuristic will can be invoked only once per node, right before branching. That's when it'll be tested whether the heur should run at all.

Definition at line 420 of file CbcHeuristic.hpp.

◆ howOftenShallow_

int CbcHeuristic::howOftenShallow_
protected

How often to invoke the heuristics in the shallow part of the tree.

Definition at line 422 of file CbcHeuristic.hpp.

◆ numInvocationsInShallow_

int CbcHeuristic::numInvocationsInShallow_
protected

How many invocations happened within the same node when in a shallow part of the tree.

Definition at line 425 of file CbcHeuristic.hpp.

◆ numInvocationsInDeep_

int CbcHeuristic::numInvocationsInDeep_
protected

How many invocations happened when in the deep part of the tree.

For every node we count only one invocation.

Definition at line 428 of file CbcHeuristic.hpp.

◆ lastRunDeep_

int CbcHeuristic::lastRunDeep_
protected

After how many deep invocations was the heuristic run last time.

Definition at line 430 of file CbcHeuristic.hpp.

◆ numRuns_

int CbcHeuristic::numRuns_
protected

how many times the heuristic has actually run

Definition at line 432 of file CbcHeuristic.hpp.

◆ minDistanceToRun_

int CbcHeuristic::minDistanceToRun_
protected

How "far" should this node be from every other where the heuristic was run in order to allow the heuristic to run in this node, too.

Currently this is tested, but we may switch to avgDistanceToRun_ in the future.

Definition at line 436 of file CbcHeuristic.hpp.

◆ runNodes_

CbcHeuristicNodeList CbcHeuristic::runNodes_
protected

The description of the nodes where this heuristic has been applied.

Definition at line 439 of file CbcHeuristic.hpp.

◆ numCouldRun_

int CbcHeuristic::numCouldRun_
protected

How many times the heuristic could run.

Definition at line 442 of file CbcHeuristic.hpp.

◆ numberSolutionsFound_

int CbcHeuristic::numberSolutionsFound_
protected

How many solutions the heuristic thought it got.

Definition at line 445 of file CbcHeuristic.hpp.

◆ numberNodesDone_

int CbcHeuristic::numberNodesDone_
mutableprotected

How many nodes the heuristic did this go.

Definition at line 448 of file CbcHeuristic.hpp.

◆ inputSolution_

double* CbcHeuristic::inputSolution_
protected

Definition at line 451 of file CbcHeuristic.hpp.


The documentation for this class was generated from the following file: