CbcCompareDefault.hpp

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// $Id$
// 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).
 
//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 bool 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_;
  bool setupForDiving_;
};
 
#endif //CbcCompareDefault_H
 
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