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/* $Id: CbcHeuristicLocal.hpp 1943 2013-07-21 09:05:45Z forrest $ */
// Copyright (C) 2002, International Business Machines
// Corporation and others. All Rights Reserved.
// This code is licensed under the terms of the Eclipse Public License (EPL).
#ifndef CbcHeuristicLocal_H
#define CbcHeuristicLocal_H
#include "CbcHeuristic.hpp"
/** LocalSearch class
*/
class CbcHeuristicLocal : public CbcHeuristic {
public:
// Default Constructor
CbcHeuristicLocal ();
/* Constructor with model - assumed before cuts
Initial version does not do Lps
*/
CbcHeuristicLocal (CbcModel & model);
// Copy constructor
CbcHeuristicLocal ( const CbcHeuristicLocal &);
// Destructor
~CbcHeuristicLocal ();
/// Clone
virtual CbcHeuristic * clone() const;
/// Assignment operator
CbcHeuristicLocal & operator=(const CbcHeuristicLocal& rhs);
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * fp) ;
/// Resets stuff if model changes
virtual void resetModel(CbcModel * model);
/// update model (This is needed if cliques update matrix etc)
virtual void setModel(CbcModel * model);
using CbcHeuristic::solution ;
/** returns 0 if no solution, 1 if valid solution.
Sets solution values if good, sets objective value (only if good)
This is called after cuts have been added - so can not add cuts
First tries setting a variable to better value. If feasible then
tries setting others. If not feasible then tries swaps
********
This first version does not do LP's and does swaps of two integer
variables. Later versions could do Lps.
*/
virtual int solution(double & objectiveValue,
double * newSolution);
/// This version fixes stuff and does IP
int solutionFix(double & objectiveValue,
double * newSolution,
const int * keep);
/// Sets type of search
inline void setSearchType(int value) {
swap_ = value;
}
/// Used array so we can set
inline int * used() const {
return used_;
}
protected:
// Data
// Original matrix by column
CoinPackedMatrix matrix_;
// Number of solutions so we only do after new solution
int numberSolutions_;
// Type of search 0=normal, 1=BAB
int swap_;
/// Whether a variable has been in a solution (also when)
int * used_;
};
/** Proximity Search class
*/
class CbcHeuristicFPump;
class CbcHeuristicProximity : public CbcHeuristic {
public:
// Default Constructor
CbcHeuristicProximity ();
/* Constructor with model - assumed before cuts
*/
CbcHeuristicProximity (CbcModel & model);
// Copy constructor
CbcHeuristicProximity ( const CbcHeuristicProximity &);
// Destructor
~CbcHeuristicProximity ();
/// Clone
virtual CbcHeuristic * clone() const;
/// Assignment operator
CbcHeuristicProximity & operator=(const CbcHeuristicProximity& rhs);
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * fp) ;
/// Resets stuff if model changes
virtual void resetModel(CbcModel * model);
/// update model (This is needed if cliques update matrix etc)
virtual void setModel(CbcModel * model);
using CbcHeuristic::solution ;
/** returns 0 if no solution, 1 if valid solution.
Sets solution values if good, sets objective value (only if good)
*/
virtual int solution(double & objectiveValue,
double * newSolution);
/// Set extra increment
inline void setIncrement(double value)
{ increment_ = value;}
/// Used array so we can set
inline int * used() const {
return used_;
}
protected:
// Data
/// Increment to use if no change
double increment_;
/// Copy of Feasibility pump
CbcHeuristicFPump * feasibilityPump_;
/// Number of solutions so we only do after new solution
int numberSolutions_;
/// Whether a variable has been in a solution (also when)
int * used_;
};
/** Naive class
a) Fix all ints as close to zero as possible
b) Fix all ints with nonzero costs and < large to zero
c) Put bounds round continuous and UIs and maximize
*/
class CbcHeuristicNaive : public CbcHeuristic {
public:
// Default Constructor
CbcHeuristicNaive ();
/* Constructor with model - assumed before cuts
Initial version does not do Lps
*/
CbcHeuristicNaive (CbcModel & model);
// Copy constructor
CbcHeuristicNaive ( const CbcHeuristicNaive &);
// Destructor
~CbcHeuristicNaive ();
/// Clone
virtual CbcHeuristic * clone() const;
/// Assignment operator
CbcHeuristicNaive & operator=(const CbcHeuristicNaive& rhs);
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * fp) ;
/// Resets stuff if model changes
virtual void resetModel(CbcModel * model);
/// update model (This is needed if cliques update matrix etc)
virtual void setModel(CbcModel * model);
using CbcHeuristic::solution ;
/** returns 0 if no solution, 1 if valid solution.
Sets solution values if good, sets objective value (only if good)
*/
virtual int solution(double & objectiveValue,
double * newSolution);
/// Sets large cost value
inline void setLargeValue(double value) {
large_ = value;
}
/// Gets large cost value
inline double largeValue() const {
return large_;
}
protected:
/// Data
/// Large value
double large_;
};
/** Crossover Search class
*/
class CbcHeuristicCrossover : public CbcHeuristic {
public:
// Default Constructor
CbcHeuristicCrossover ();
/* Constructor with model - assumed before cuts
Initial version does not do Lps
*/
CbcHeuristicCrossover (CbcModel & model);
// Copy constructor
CbcHeuristicCrossover ( const CbcHeuristicCrossover &);
// Destructor
~CbcHeuristicCrossover ();
/// Clone
virtual CbcHeuristic * clone() const;
/// Assignment operator
CbcHeuristicCrossover & operator=(const CbcHeuristicCrossover& rhs);
/// Create C++ lines to get to current state
virtual void generateCpp( FILE * fp) ;
/// Resets stuff if model changes
virtual void resetModel(CbcModel * model);
/// update model (This is needed if cliques update matrix etc)
virtual void setModel(CbcModel * model);
using CbcHeuristic::solution ;
/** returns 0 if no solution, 1 if valid solution.
Fix variables if agree in useNumber_ solutions
when_ 0 off, 1 only at new solutions, 2 also every now and then
add 10 to make only if agree at lower bound
*/
virtual int solution(double & objectiveValue,
double * newSolution);
/// Sets number of solutions to use
inline void setNumberSolutions(int value) {
if (value > 0 && value <= 10)
useNumber_ = value;
}
protected:
// Data
/// Attempts
std::vector <double> attempts_;
/// Random numbers to stop same search happening
double random_[10];
/// Number of solutions so we only do after new solution
int numberSolutions_;
/// Number of solutions to use
int useNumber_;
};
#endif
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