CbcCompareDefault.hpp

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//Edwin 11/25/09 carved out of CbcCompareActual
#ifndef CbcCompareDefault_H
#define CbcCompareDefault_H


//#############################################################################
/*  These are alternative strategies for node traversal.
    They can take data etc for fine tuning

    At present the node list is stored as a heap and the "test"
    comparison function returns true if node y is better than node x.

*/
#include "CbcNode.hpp"
#include "CbcCompareBase.hpp"
#include "CbcCompare.hpp"

class CbcModel;

/* This is an example of a more complex rule with data
   It is default after first solution
   If weight is 0.0 then it is computed to hit first solution
   less 5%
*/
class CbcCompareDefault  : public CbcCompareBase {
public:
    CbcCompareDefault () ;
    CbcCompareDefault (double weight);

    CbcCompareDefault ( const CbcCompareDefault &rhs);

    CbcCompareDefault & operator=( const CbcCompareDefault& rhs);

    virtual CbcCompareBase * clone() const;
    virtual void generateCpp( FILE * fp);

    ~CbcCompareDefault() ;
    /* This returns true if weighted value of node y is less than
       weighted value of node x */
    virtual bool test (CbcNode * x, CbcNode * y) ;

    using CbcCompareBase::newSolution ;
    virtual void newSolution(CbcModel * model,
                             double objectiveAtContinuous,
                             int numberInfeasibilitiesAtContinuous) ;
    virtual bool every1000Nodes(CbcModel * model, int numberNodes);

    /* if weight == -1.0 then fewest infeasibilities (before solution)
       if -2.0 then do breadth first just for first 1000 nodes
       if -3.0 then depth first before solution
    */
    inline double getWeight() const {
        return weight_;
    }
    inline void setWeight(double weight) {
        weight_ = weight;
    }
    inline double getCutoff() const {
        return cutoff_;
    }
    inline void setCutoff(double cutoff) {
        cutoff_ = cutoff;
    }
    inline double getBestPossible() const {
        return bestPossible_;
    }
    inline void setBestPossible(double bestPossible) {
        bestPossible_ = bestPossible;
    }
    inline void setBreadthDepth(int value) {
        breadthDepth_ = value;
    }
    void startDive(CbcModel * model);
    void cleanDive();
protected:
    double weight_;
    double saveWeight_;
    double cutoff_;
    double bestPossible_;
    int numberSolutions_;
    int treeSize_;
    int breadthDepth_;
    int startNodeNumber_;
    int afterNodeNumber_;
};

#endif //CbcCompareDefault_H