1 | // edwin 12/5/09 carved out of CbcHeuristicRINS |
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2 | #if defined(_MSC_VER) |
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3 | // Turn off compiler warning about long names |
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4 | # pragma warning(disable:4786) |
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5 | #endif |
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6 | #include <cassert> |
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7 | #include <cstdlib> |
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8 | #include <cmath> |
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9 | #include <cfloat> |
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10 | |
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11 | #include "OsiSolverInterface.hpp" |
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12 | #include "CbcModel.hpp" |
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13 | #include "CbcMessage.hpp" |
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14 | #include "CbcHeuristicDINS.hpp" |
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15 | #include "CbcBranchActual.hpp" |
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16 | #include "CbcStrategy.hpp" |
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17 | #include "CglPreProcess.hpp" |
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18 | |
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19 | // Default Constructor |
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20 | CbcHeuristicDINS::CbcHeuristicDINS() |
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21 | : CbcHeuristic() |
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22 | { |
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23 | numberSolutions_ = 0; |
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24 | numberSuccesses_ = 0; |
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25 | numberTries_ = 0; |
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26 | howOften_ = 100; |
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27 | decayFactor_ = 0.5; |
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28 | maximumKeepSolutions_ = 5; |
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29 | numberKeptSolutions_ = 0; |
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30 | numberIntegers_ = -1; |
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31 | localSpace_ = 10; |
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32 | values_ = NULL; |
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33 | } |
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34 | |
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35 | // Constructor with model - assumed before cuts |
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36 | |
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37 | CbcHeuristicDINS::CbcHeuristicDINS(CbcModel & model) |
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38 | : CbcHeuristic(model) |
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39 | { |
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40 | numberSolutions_ = 0; |
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41 | numberSuccesses_ = 0; |
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42 | numberTries_ = 0; |
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43 | howOften_ = 100; |
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44 | decayFactor_ = 0.5; |
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45 | assert(model.solver()); |
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46 | maximumKeepSolutions_ = 5; |
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47 | numberKeptSolutions_ = 0; |
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48 | numberIntegers_ = -1; |
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49 | localSpace_ = 10; |
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50 | values_ = NULL; |
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51 | } |
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52 | |
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53 | // Destructor |
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54 | CbcHeuristicDINS::~CbcHeuristicDINS () |
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55 | { |
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56 | for (int i = 0; i < numberKeptSolutions_; i++) |
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57 | delete [] values_[i]; |
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58 | delete [] values_; |
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59 | } |
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60 | |
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61 | // Clone |
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62 | CbcHeuristic * |
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63 | CbcHeuristicDINS::clone() const |
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64 | { |
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65 | return new CbcHeuristicDINS(*this); |
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66 | } |
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67 | |
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68 | // Assignment operator |
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69 | CbcHeuristicDINS & |
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70 | CbcHeuristicDINS::operator=( const CbcHeuristicDINS & rhs) |
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71 | { |
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72 | if (this != &rhs) { |
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73 | CbcHeuristic::operator=(rhs); |
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74 | numberSolutions_ = rhs.numberSolutions_; |
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75 | howOften_ = rhs.howOften_; |
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76 | numberSuccesses_ = rhs.numberSuccesses_; |
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77 | numberTries_ = rhs.numberTries_; |
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78 | for (int i = 0; i < numberKeptSolutions_; i++) |
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79 | delete [] values_[i]; |
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80 | delete [] values_; |
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81 | maximumKeepSolutions_ = rhs.maximumKeepSolutions_; |
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82 | numberKeptSolutions_ = rhs.numberKeptSolutions_; |
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83 | numberIntegers_ = rhs.numberIntegers_; |
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84 | localSpace_ = rhs.localSpace_; |
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85 | if (model_ && rhs.values_) { |
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86 | assert (numberIntegers_ >= 0); |
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87 | values_ = new int * [maximumKeepSolutions_]; |
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88 | for (int i = 0; i < maximumKeepSolutions_; i++) |
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89 | values_[i] = CoinCopyOfArray(rhs.values_[i], numberIntegers_); |
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90 | } else { |
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91 | values_ = NULL; |
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92 | } |
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93 | } |
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94 | return *this; |
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95 | } |
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96 | |
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97 | // Create C++ lines to get to current state |
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98 | void |
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99 | CbcHeuristicDINS::generateCpp( FILE * fp) |
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100 | { |
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101 | CbcHeuristicDINS other; |
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102 | fprintf(fp, "0#include \"CbcHeuristicDINS.hpp\"\n"); |
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103 | fprintf(fp, "3 CbcHeuristicDINS heuristicDINS(*cbcModel);\n"); |
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104 | CbcHeuristic::generateCpp(fp, "heuristicDINS"); |
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105 | if (howOften_ != other.howOften_) |
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106 | fprintf(fp, "3 heuristicDINS.setHowOften(%d);\n", howOften_); |
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107 | else |
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108 | fprintf(fp, "4 heuristicDINS.setHowOften(%d);\n", howOften_); |
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109 | if (maximumKeepSolutions_ != other.maximumKeepSolutions_) |
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110 | fprintf(fp, "3 heuristicDINS.setMaximumKeep(%d);\n", maximumKeepSolutions_); |
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111 | else |
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112 | fprintf(fp, "4 heuristicDINS.setMaximumKeep(%d);\n", maximumKeepSolutions_); |
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113 | fprintf(fp, "3 cbcModel->addHeuristic(&heuristicDINS);\n"); |
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114 | } |
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115 | |
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116 | // Copy constructor |
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117 | CbcHeuristicDINS::CbcHeuristicDINS(const CbcHeuristicDINS & rhs) |
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118 | : |
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119 | CbcHeuristic(rhs), |
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120 | numberSolutions_(rhs.numberSolutions_), |
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121 | howOften_(rhs.howOften_), |
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122 | numberSuccesses_(rhs.numberSuccesses_), |
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123 | numberTries_(rhs.numberTries_), |
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124 | maximumKeepSolutions_(rhs.maximumKeepSolutions_), |
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125 | numberKeptSolutions_(rhs.numberKeptSolutions_), |
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126 | numberIntegers_(rhs.numberIntegers_), |
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127 | localSpace_(rhs.localSpace_) |
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128 | { |
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129 | if (model_ && rhs.values_) { |
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130 | assert (numberIntegers_ >= 0); |
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131 | values_ = new int * [maximumKeepSolutions_]; |
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132 | for (int i = 0; i < maximumKeepSolutions_; i++) |
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133 | values_[i] = CoinCopyOfArray(rhs.values_[i], numberIntegers_); |
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134 | } else { |
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135 | values_ = NULL; |
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136 | } |
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137 | } |
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138 | // Resets stuff if model changes |
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139 | void |
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140 | CbcHeuristicDINS::resetModel(CbcModel * ) |
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141 | { |
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142 | //CbcHeuristic::resetModel(model); |
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143 | for (int i = 0; i < numberKeptSolutions_; i++) |
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144 | delete [] values_[i]; |
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145 | delete [] values_; |
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146 | numberKeptSolutions_ = 0; |
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147 | numberIntegers_ = -1; |
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148 | numberSolutions_ = 0; |
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149 | values_ = NULL; |
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150 | } |
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151 | /* |
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152 | First tries setting a variable to better value. If feasible then |
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153 | tries setting others. If not feasible then tries swaps |
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154 | Returns 1 if solution, 0 if not */ |
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155 | int |
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156 | CbcHeuristicDINS::solution(double & solutionValue, |
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157 | double * betterSolution) |
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158 | { |
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159 | numCouldRun_++; |
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160 | int returnCode = 0; |
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161 | const double * bestSolution = model_->bestSolution(); |
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162 | if (!bestSolution) |
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163 | return 0; // No solution found yet |
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164 | if (numberSolutions_ < model_->getSolutionCount()) { |
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165 | // new solution - add info |
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166 | numberSolutions_ = model_->getSolutionCount(); |
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167 | |
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168 | int numberIntegers = model_->numberIntegers(); |
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169 | const int * integerVariable = model_->integerVariable(); |
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170 | if (numberIntegers_ < 0) { |
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171 | numberIntegers_ = numberIntegers; |
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172 | assert (!values_); |
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173 | values_ = new int * [maximumKeepSolutions_]; |
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174 | for (int i = 0; i < maximumKeepSolutions_; i++) |
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175 | values_[i] = NULL; |
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176 | } else { |
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177 | assert (numberIntegers == numberIntegers_); |
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178 | } |
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179 | // move solutions (0 will be most recent) |
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180 | { |
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181 | int * temp = values_[maximumKeepSolutions_-1]; |
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182 | for (int i = maximumKeepSolutions_ - 1; i > 0; i--) |
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183 | values_[i] = values_[i-1]; |
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184 | if (!temp) |
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185 | temp = new int [numberIntegers_]; |
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186 | values_[0] = temp; |
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187 | } |
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188 | int i; |
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189 | for (i = 0; i < numberIntegers; i++) { |
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190 | int iColumn = integerVariable[i]; |
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191 | double value = bestSolution[iColumn]; |
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192 | double nearest = floor(value + 0.5); |
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193 | values_[0][i] = static_cast<int> (nearest); |
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194 | } |
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195 | numberKeptSolutions_ = CoinMin(numberKeptSolutions_ + 1, maximumKeepSolutions_); |
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196 | } |
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197 | int finalReturnCode = 0; |
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198 | if (((model_->getNodeCount() % howOften_) == howOften_ / 2 || !model_->getNodeCount()) && (model_->getCurrentPassNumber() == 1 || model_->getCurrentPassNumber() == 999999)) { |
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199 | OsiSolverInterface * solver = model_->solver(); |
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200 | |
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201 | int numberIntegers = model_->numberIntegers(); |
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202 | const int * integerVariable = model_->integerVariable(); |
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203 | |
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204 | const double * currentSolution = solver->getColSolution(); |
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205 | int localSpace = localSpace_; |
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206 | // 0 means finished but no solution, 1 solution, 2 node limit |
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207 | int status = -1; |
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208 | double cutoff = model_->getCutoff(); |
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209 | while (status) { |
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210 | status = 0; |
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211 | OsiSolverInterface * newSolver = cloneBut(3); // was model_->continuousSolver()->clone(); |
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212 | const double * colLower = solver->getColLower(); |
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213 | const double * colUpper = solver->getColUpper(); |
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214 | |
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215 | double primalTolerance; |
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216 | solver->getDblParam(OsiPrimalTolerance, primalTolerance); |
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217 | const double * continuousSolution = newSolver->getColSolution(); |
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218 | // Space for added constraint |
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219 | double * element = new double [numberIntegers]; |
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220 | int * column = new int [numberIntegers]; |
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221 | int i; |
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222 | int nFix = 0; |
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223 | int nCouldFix = 0; |
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224 | int nCouldFix2 = 0; |
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225 | int nBound = 0; |
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226 | int nEl = 0; |
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227 | double bias = localSpace; |
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228 | int okSame = numberKeptSolutions_ - 1; |
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229 | for (i = 0; i < numberIntegers; i++) { |
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230 | int iColumn = integerVariable[i]; |
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231 | const OsiObject * object = model_->object(i); |
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232 | // get original bounds |
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233 | double originalLower; |
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234 | double originalUpper; |
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235 | getIntegerInformation( object, originalLower, originalUpper); |
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236 | double valueInt = bestSolution[iColumn]; |
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237 | if (valueInt < originalLower) { |
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238 | valueInt = originalLower; |
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239 | } else if (valueInt > originalUpper) { |
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240 | valueInt = originalUpper; |
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241 | } |
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242 | int intValue = static_cast<int> (floor(valueInt + 0.5)); |
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243 | double currentValue = currentSolution[iColumn]; |
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244 | double currentLower = colLower[iColumn]; |
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245 | double currentUpper = colUpper[iColumn]; |
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246 | if (fabs(valueInt - currentValue) >= 0.5) { |
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247 | // Re-bound |
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248 | nBound++; |
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249 | if (intValue >= currentValue) { |
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250 | currentLower = CoinMax(currentLower, ceil(2 * currentValue - intValue)); |
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251 | currentUpper = intValue; |
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252 | } else { |
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253 | currentLower = intValue; |
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254 | currentUpper = CoinMin(currentUpper, floor(2 * currentValue - intValue)); |
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255 | } |
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256 | newSolver->setColLower(iColumn, currentLower); |
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257 | newSolver->setColUpper(iColumn, currentUpper); |
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258 | } else { |
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259 | // See if can fix |
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260 | bool canFix = false; |
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261 | double continuousValue = continuousSolution[iColumn]; |
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262 | if (fabs(currentValue - valueInt) < 10.0*primalTolerance) { |
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263 | if (currentUpper - currentLower > 1.0) { |
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264 | // General integer variable |
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265 | canFix = true; |
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266 | } else if (fabs(continuousValue - valueInt) < 10.0*primalTolerance) { |
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267 | int nSame = 1; |
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268 | //assert (intValue==values_[0][i]); |
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269 | for (int k = 1; k < numberKeptSolutions_; k++) { |
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270 | if (intValue == values_[k][i]) |
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271 | nSame++; |
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272 | } |
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273 | if (nSame >= okSame) { |
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274 | // can fix |
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275 | canFix = true; |
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276 | } else { |
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277 | nCouldFix++; |
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278 | } |
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279 | } else { |
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280 | nCouldFix2++; |
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281 | } |
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282 | } |
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283 | if (canFix) { |
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284 | newSolver->setColLower(iColumn, intValue); |
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285 | newSolver->setColUpper(iColumn, intValue); |
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286 | nFix++; |
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287 | } else { |
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288 | if (currentUpper - currentLower > 1.0) { |
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289 | // General integer variable |
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290 | currentLower = floor(currentValue); |
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291 | if (intValue >= currentLower && intValue <= currentLower + 1) { |
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292 | newSolver->setColLower(iColumn, currentLower); |
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293 | newSolver->setColUpper(iColumn, currentLower + 1.0); |
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294 | } else { |
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295 | // fix |
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296 | double value; |
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297 | if (intValue < currentLower) |
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298 | value = currentLower; |
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299 | else |
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300 | value = currentLower + 1; |
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301 | newSolver->setColLower(iColumn, value); |
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302 | newSolver->setColUpper(iColumn, value); |
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303 | nFix++; |
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304 | } |
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305 | } else { |
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306 | // 0-1 (ish) |
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307 | column[nEl] = iColumn; |
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308 | if (intValue == currentLower) { |
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309 | bias += currentLower; |
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310 | element[nEl++] = 1.0; |
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311 | } else if (intValue == currentUpper) { |
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312 | bias += currentUpper; |
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313 | element[nEl++] = -1.0; |
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314 | } else { |
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315 | printf("bad DINS logic\n"); |
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316 | abort(); |
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317 | } |
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318 | } |
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319 | } |
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320 | } |
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321 | } |
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322 | char generalPrint[200]; |
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323 | sprintf(generalPrint, |
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324 | "%d fixed, %d same as cont/int, %d same as int - %d bounded %d in cut\n", |
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325 | nFix, nCouldFix, nCouldFix2, nBound, nEl); |
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326 | model_->messageHandler()->message(CBC_FPUMP2, model_->messages()) |
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327 | << generalPrint |
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328 | << CoinMessageEol; |
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329 | if (nFix > numberIntegers / 10) { |
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330 | #ifdef JJF_ZERO |
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331 | newSolver->initialSolve(); |
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332 | printf("obj %g\n", newSolver->getObjValue()); |
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333 | for (i = 0; i < numberIntegers; i++) { |
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334 | int iColumn = integerVariable[i]; |
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335 | printf("%d new bounds %g %g - solutions %g %g\n", |
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336 | iColumn, newSolver->getColLower()[iColumn], |
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337 | newSolver->getColUpper()[iColumn], |
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338 | bestSolution[iColumn], |
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339 | currentSolution[iColumn]); |
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340 | } |
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341 | #endif |
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342 | if (nEl > 0) |
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343 | newSolver->addRow(nEl, column, element, -COIN_DBL_MAX, bias); |
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344 | //printf("%d integers have same value\n",nFix); |
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345 | returnCode = smallBranchAndBound(newSolver, numberNodes_, betterSolution, solutionValue, |
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346 | cutoff, "CbcHeuristicDINS"); |
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347 | if (returnCode < 0) { |
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348 | returnCode = 0; // returned on size |
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349 | status = 0; |
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350 | } else { |
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351 | numRuns_++; |
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352 | if ((returnCode&2) != 0) { |
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353 | // could add cut as complete search |
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354 | returnCode &= ~2; |
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355 | if ((returnCode&1) != 0) { |
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356 | numberSuccesses_++; |
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357 | status = 1; |
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358 | } else { |
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359 | // no solution |
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360 | status = 0; |
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361 | } |
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362 | } else { |
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363 | if ((returnCode&1) != 0) { |
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364 | numberSuccesses_++; |
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365 | status = 1; |
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366 | } else { |
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367 | // no solution but node limit |
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368 | status = 2; |
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369 | if (nEl) |
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370 | localSpace -= 5; |
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371 | else |
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372 | localSpace = -1; |
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373 | if (localSpace < 0) |
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374 | status = 0; |
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375 | } |
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376 | } |
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377 | if ((returnCode&1) != 0) { |
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378 | cutoff = CoinMin(cutoff, solutionValue - model_->getCutoffIncrement()); |
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379 | finalReturnCode = 1; |
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380 | } |
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381 | } |
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382 | } |
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383 | delete [] element; |
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384 | delete [] column; |
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385 | delete newSolver; |
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386 | } |
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387 | numberTries_++; |
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388 | if ((numberTries_ % 10) == 0 && numberSuccesses_*3 < numberTries_) |
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389 | howOften_ += static_cast<int> (howOften_ * decayFactor_); |
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390 | } |
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391 | return finalReturnCode; |
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392 | } |
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393 | // update model |
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394 | void CbcHeuristicDINS::setModel(CbcModel * model) |
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395 | { |
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396 | model_ = model; |
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397 | // Get a copy of original matrix |
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398 | assert(model_->solver()); |
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399 | for (int i = 0; i < numberKeptSolutions_; i++) |
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400 | delete [] values_[i]; |
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401 | delete [] values_; |
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402 | numberKeptSolutions_ = 0; |
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403 | numberIntegers_ = -1; |
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404 | numberSolutions_ = 0; |
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405 | values_ = NULL; |
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406 | } |
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407 | |
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