1 | /* |
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2 | * TSPSG: TSP Solver and Generator |
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3 | * Copyright (C) 2007-2009 Lёppa <contacts[at]oleksii[dot]name> |
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4 | * |
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5 | * $Id$ |
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6 | * $URL$ |
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7 | * |
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8 | * This file is part of TSPSG. |
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9 | * |
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10 | * TSPSG is free software: you can redistribute it and/or modify |
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11 | * it under the terms of the GNU General Public License as published by |
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12 | * the Free Software Foundation, either version 3 of the License, or |
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13 | * (at your option) any later version. |
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14 | * |
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15 | * TSPSG is distributed in the hope that it will be useful, |
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16 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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17 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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18 | * GNU General Public License for more details. |
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19 | * |
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20 | * You should have received a copy of the GNU General Public License |
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21 | * along with TSPSG. If not, see <http://www.gnu.org/licenses/>. |
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22 | */ |
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23 | |
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24 | #include "tspsolver.h" |
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25 | #include "tspmodel.h" |
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26 | |
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27 | CTSPSolver::CTSPSolver() |
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28 | : nCities(0) |
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29 | { |
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30 | } |
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31 | |
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32 | void CTSPSolver::cleanup() |
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33 | { |
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34 | route.clear(); |
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35 | } |
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36 | |
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37 | double CTSPSolver::findMinInRow(int nRow, tMatrix matrix, int exc) |
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38 | { |
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39 | double min = INFINITY; |
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40 | for (int k = 0; k < nCities; k++) |
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41 | if (((k != exc)) && (min > matrix[nRow][k])) |
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42 | min = matrix[nRow][k]; |
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43 | return min == INFINITY ? 0 : min; |
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44 | } |
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45 | |
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46 | double CTSPSolver::findMinInCol(int nCol, tMatrix matrix, int exr) |
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47 | { |
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48 | double min = INFINITY; |
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49 | for (int k = 0; k < nCities; k++) |
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50 | if ((k != exr) && (min > matrix[k][nCol])) |
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51 | min = matrix[k][nCol]; |
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52 | return min == INFINITY ? 0 : min; |
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53 | } |
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54 | |
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55 | void CTSPSolver::subRow(tMatrix &matrix, int nRow, double val) |
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56 | { |
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57 | for (int k = 0; k < nCities; k++) |
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58 | if (k != nRow) |
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59 | matrix[nRow][k] -= val; |
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60 | } |
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61 | |
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62 | void CTSPSolver::subCol(tMatrix &matrix, int nCol, double val) |
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63 | { |
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64 | for (int k = 0; k < nCities; k++) |
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65 | if (k != nCol) |
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66 | matrix[k][nCol] -= val; |
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67 | } |
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68 | |
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69 | double CTSPSolver::align(tMatrix &matrix) |
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70 | { |
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71 | double r = 0; |
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72 | double min; |
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73 | for (int k = 0; k < nCities; k++) { |
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74 | min = findMinInRow(k,matrix); |
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75 | if (min > 0) { |
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76 | r += min; |
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77 | subRow(matrix,k,min); |
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78 | } |
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79 | } |
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80 | for (int k = 0; k < nCities; k++) { |
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81 | min = findMinInCol(k,matrix); |
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82 | if (min > 0) { |
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83 | r += min; |
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84 | subCol(matrix,k,min); |
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85 | } |
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86 | } |
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87 | return r; |
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88 | } |
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89 | |
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90 | bool CTSPSolver::findCandidate(tMatrix matrix, int &nRow, int &nCol, double &h) |
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91 | { |
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92 | h = -1; |
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93 | nRow = -1; |
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94 | nCol = -1; |
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95 | bool alts = false; |
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96 | double sum; |
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97 | for (int r = 0; r < nCities; r++) |
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98 | for (int c = 0; c < nCities; c++) |
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99 | // if ((matrix[r][c] == 0) && !forbidden.values(r).contains(c)) { |
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100 | if (matrix[r][c] == 0) { |
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101 | sum = findMinInRow(r,matrix,c) + findMinInCol(c,matrix,r); |
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102 | if (sum > h) { |
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103 | h = sum; |
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104 | nRow = r; |
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105 | nCol = c; |
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106 | alts = false; |
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107 | } else if (sum == h) |
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108 | alts = true; |
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109 | } |
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110 | return alts; |
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111 | } |
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112 | |
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113 | bool CTSPSolver::hasSubCycles(int nRow, int nCol) |
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114 | { |
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115 | if ((nRow < 0) || (nCol < 0) || route.isEmpty() || !(route.size() < nCities - 1) || !route.contains(nCol)) |
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116 | return false; |
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117 | int i = nCol; |
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118 | while (true) { |
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119 | if ((i = route[i]) == nRow) |
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120 | return true; |
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121 | if (!route.contains(i)) |
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122 | return false; |
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123 | } |
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124 | return false; |
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125 | } |
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126 | |
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127 | // TODO: Comment the algorithm |
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128 | sStep *CTSPSolver::solve(int numCities, tMatrix task, QWidget *parent) |
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129 | { |
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130 | if (numCities <= 1) |
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131 | return NULL; |
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132 | cleanup(); |
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133 | nCities = numCities; |
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134 | double s; |
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135 | QProgressDialog pd(parent); |
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136 | QProgressBar *pb = new QProgressBar(&pd); |
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137 | pb->setAlignment(Qt::AlignCenter); |
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138 | pb->setFormat(trUtf8("%v of %m parts found")); |
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139 | pd.setBar(pb); |
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140 | pd.setMaximum(nCities); |
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141 | pd.setMinimumDuration(1000); |
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142 | pd.setLabelText(trUtf8("Calculating optimal route...")); |
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143 | pd.setWindowTitle(trUtf8("Solution Progress")); |
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144 | pd.setWindowModality(Qt::ApplicationModal); |
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145 | pd.setValue(0); |
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146 | |
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147 | sStep *step = new sStep(); |
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148 | step->matrix = task; |
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149 | |
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150 | s = align(step->matrix); |
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151 | step->price = s; |
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152 | root = step; |
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153 | |
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154 | sStep *left, *right; |
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155 | int nRow, nCol; |
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156 | while (route.size() < nCities) { |
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157 | // forbidden.clear(); |
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158 | step->alts = findCandidate(step->matrix,nRow,nCol,s); |
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159 | while (hasSubCycles(nRow,nCol)) { |
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160 | // forbidden[nRow] = nCol; |
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161 | step->matrix[nRow][nCol] = INFINITY; |
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162 | step->price += align(step->matrix); |
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163 | step->alts = findCandidate(step->matrix,nRow,nCol,s); |
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164 | } |
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165 | if ((nRow == -1) || (nCol == -1) || pd.wasCanceled()) { |
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166 | root = NULL; |
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167 | break; |
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168 | } |
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169 | |
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170 | // Route with (nRow,nCol) path |
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171 | right = new sStep(); |
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172 | right->matrix = step->matrix; |
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173 | for (int k = 0; k < nCities; k++) { |
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174 | if (k != nCol) |
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175 | right->matrix[nRow][k] = INFINITY; |
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176 | if (k != nRow) |
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177 | right->matrix[k][nCol] = INFINITY; |
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178 | } |
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179 | right->price = step->price + align(right->matrix); |
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180 | // Forbid selected route to exclude its reuse in next steps. |
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181 | right->matrix[nCol][nRow] = INFINITY; |
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182 | right->matrix[nRow][nCol] = INFINITY; |
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183 | |
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184 | // Route without (nRow,nCol) path |
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185 | left = new sStep(); |
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186 | left->matrix = step->matrix; |
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187 | left->matrix[nRow][nCol] = INFINITY; |
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188 | left->price = step->price + align(left->matrix); |
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189 | |
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190 | step->candidate.nRow = nRow; |
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191 | step->candidate.nCol = nCol; |
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192 | step->plNode = left; |
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193 | step->prNode = right; |
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194 | |
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195 | if (right->price <= left->price) { |
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196 | // Route with (nRow,nCol) path is cheaper |
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197 | step = right; |
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198 | route[nRow] = nCol; |
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199 | pd.setValue(route.size()); |
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200 | } else { |
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201 | // Route without (nRow,nCol) path is cheaper |
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202 | step = left; |
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203 | qApp->processEvents(); |
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204 | } |
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205 | } |
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206 | |
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207 | if (!root && !pd.wasCanceled()) { |
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208 | pd.reset(); |
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209 | QMessageBox(QMessageBox::Warning,trUtf8("Solution Result"),trUtf8("Unable to find solution.\nMaybe, this task has no solutions."),QMessageBox::Ok,parent).exec(); |
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210 | } |
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211 | |
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212 | qApp->processEvents(); |
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213 | |
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214 | return root; |
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215 | } |
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