# CbcCompareDefault.hpp

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    00001 // $Id: CbcCompareDefault.hpp 1902 2013-04-10 16:58:16Z stefan $
    00002 // Copyright (C) 2002, International Business Machines
    00003 // Corporation and others.  All Rights Reserved.
    00004 // This code is licensed under the terms of the Eclipse Public License (EPL).
    00005
    00006 //Edwin 11/25/09 carved out of CbcCompareActual
    00007
    00008 #ifndef CbcCompareDefault_H
    00009 #define CbcCompareDefault_H
    00010
    00011
    00012 //#############################################################################
    00013 /*  These are alternative strategies for node traversal.
    00014     They can take data etc for fine tuning
    00015
    00016     At present the node list is stored as a heap and the "test"
    00017     comparison function returns true if node y is better than node x.
    00018
    00019 */
    00020 #include "CbcNode.hpp"
    00021 #include "CbcCompareBase.hpp"
    00022 #include "CbcCompare.hpp"
    00023
    00024 class CbcModel;
    00025
    00026 /* This is an example of a more complex rule with data
    00027    It is default after first solution
    00028    If weight is 0.0 then it is computed to hit first solution
    00029    less 5%
    00030 */
    00031 class CbcCompareDefault  : public CbcCompareBase {
    00032 public:
    00034     CbcCompareDefault () ;
    00036     CbcCompareDefault (double weight);
    00037
    00039     CbcCompareDefault ( const CbcCompareDefault &rhs);
    00040
    00042     CbcCompareDefault & operator=( const CbcCompareDefault& rhs);
    00043
    00045     virtual CbcCompareBase * clone() const;
    00047     virtual void generateCpp( FILE * fp);
    00048
    00049     ~CbcCompareDefault() ;
    00050     /* This returns true if weighted value of node y is less than
    00051        weighted value of node x */
    00052     virtual bool test (CbcNode * x, CbcNode * y) ;
    00053
    00054     using CbcCompareBase::newSolution ;
    00057     virtual bool newSolution(CbcModel * model,
    00058                              double objectiveAtContinuous,
    00059                              int numberInfeasibilitiesAtContinuous) ;
    00062     virtual bool every1000Nodes(CbcModel * model, int numberNodes);
    00063
    00064     /* if weight == -1.0 then fewest infeasibilities (before solution)
    00065        if -2.0 then do breadth first just for first 1000 nodes
    00066        if -3.0 then depth first before solution
    00067     */
    00068     inline double getWeight() const {
    00069         return weight_;
    00070     }
    00071     inline void setWeight(double weight) {
    00072         weight_ = weight;
    00073     }
    00075     inline double getCutoff() const {
    00076         return cutoff_;
    00077     }
    00078     inline void setCutoff(double cutoff) {
    00079         cutoff_ = cutoff;
    00080     }
    00082     inline double getBestPossible() const {
    00083         return bestPossible_;
    00084     }
    00085     inline void setBestPossible(double bestPossible) {
    00086         bestPossible_ = bestPossible;
    00087     }
    00089     inline void setBreadthDepth(int value) {
    00090         breadthDepth_ = value;
    00091     }
    00093     void startDive(CbcModel * model);
    00095     void cleanDive();
    00096 protected:
    00098     double weight_;
    00100     double saveWeight_;
    00102     double cutoff_;
    00104     double bestPossible_;
    00106     int numberSolutions_;
    00108     int treeSize_;
    00110     int breadthDepth_;
    00112     int startNodeNumber_;
    00114     int afterNodeNumber_;
    00116     bool setupForDiving_ ;
    00117 };
    00118
    00119 #endif //CbcCompareDefault_H
    00120

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