1 |
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2 | using System;
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3 | using System.Collections.Generic;
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4 | using HeuristicLab.Algorithms.GraphRouting.Interfaces;
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5 | using HeuristicLab.Problems.RoutePlanning.Interfaces;
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6 | namespace HeuristicLab.Algorithms.GraphRouting {
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7 | // simple implemntation of disjkstra's algorithm
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8 | // based on: http://de.wikipedia.org/wiki/Dijkstra-Algorithmus
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9 | // (doesn't use heaps ... )
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10 | public class NaiveDijkstraAlgorithm : IRouter {
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11 | private IGraph graph;
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12 |
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13 | private HashSet<long> visitedNodes;
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14 | private HashSet<long> unvisitedNodes;
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15 | private Dictionary<long, float> distances;
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16 | private Dictionary<long, long> predecessors;
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17 |
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18 | public NaiveDijkstraAlgorithm(IGraph graph) {
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19 | this.graph = graph;
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20 | }
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21 |
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22 | #region IRouter Members
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23 |
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24 | public long[] Calculate(long sourceNodeId, long targetNodeId) {
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25 | visitedNodes = new HashSet<long>(); // visited
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26 | unvisitedNodes = new HashSet<long>(); // unvisited
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27 | distances = new Dictionary<long, float>();
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28 | predecessors = new Dictionary<long, long>();
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29 |
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30 | List<long> resultRoute = new List<long>();
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31 | if (sourceNodeId == targetNodeId) {
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32 | resultRoute.Add(sourceNodeId);
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33 | return resultRoute.ToArray();
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34 | }
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35 |
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36 | long currentNode = sourceNodeId;
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37 | distances.Add(currentNode, 0);
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38 | unvisitedNodes.Add(currentNode);
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39 |
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40 | while (unvisitedNodes.Count > 0) {
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41 | currentNode = GetMinimumDistance(unvisitedNodes);
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42 | visitedNodes.Add(currentNode);
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43 | unvisitedNodes.Remove(currentNode);
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44 | if (currentNode == targetNodeId) {
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45 | break;
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46 | }
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47 | FindMinimalWeight(currentNode);
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48 | }
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49 |
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50 | if (currentNode != targetNodeId) {
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51 | // target was not found
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52 | // maybe throw exception
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53 | throw new Exception(string.Format("No route found from {0} to {1}", sourceNodeId, targetNodeId));
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54 | }
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55 | return GetRoute(targetNodeId).ToArray();
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56 | }
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57 |
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58 | #endregion
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59 |
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60 | public long GetNodeIdWithRank(long sourceNodeId, int rank) {
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61 | visitedNodes = new HashSet<long>(); // visited
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62 | unvisitedNodes = new HashSet<long>(); // unvisited
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63 | distances = new Dictionary<long, float>();
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64 | predecessors = new Dictionary<long, long>();
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65 | int currentRank = 0;
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66 |
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67 |
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68 | long currentNode = sourceNodeId;
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69 | distances.Add(currentNode, 0);
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70 | unvisitedNodes.Add(currentNode);
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71 |
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72 | while (unvisitedNodes.Count > 0) {
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73 | currentNode = GetMinimumDistance(unvisitedNodes);
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74 | visitedNodes.Add(currentNode);
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75 | unvisitedNodes.Remove(currentNode);
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76 | currentRank++;
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77 | if (currentRank == rank) {
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78 | break;
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79 | }
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80 | FindMinimalWeight(currentNode);
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81 | }
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82 | return currentNode;
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83 | }
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84 |
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85 | private long GetMinimumDistance(HashSet<long> nodeIds) {
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86 | long minimum = -1;
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87 | foreach (long id in nodeIds) {
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88 | if (minimum == -1) minimum = id;
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89 | else {
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90 | if (GetDistance(id) < GetDistance(minimum)) {
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91 | minimum = id;
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92 | }
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93 | }
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94 | }
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95 | return minimum;
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96 | }
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97 |
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98 | private float GetDistance(long id) {
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99 | float d;
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100 | if (distances.TryGetValue(id, out d)) {
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101 | return d;
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102 | } else { return float.MaxValue; }
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103 |
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104 | }
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105 |
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106 | private void FindMinimalWeight(long nodeId) {
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107 | Dictionary<long, float> currentNeighbors = graph.GetNeighborsWithWeight(nodeId);
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108 | foreach (KeyValuePair<long, float> neighbor in currentNeighbors) {
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109 | // update relax
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110 | float totalWeight = GetDistance(nodeId) + neighbor.Value;
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111 | if (GetDistance(neighbor.Key) > totalWeight) {
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112 | distances[neighbor.Key] = totalWeight;
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113 | predecessors[neighbor.Key] = nodeId;
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114 | unvisitedNodes.Add(neighbor.Key);
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115 | }
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116 | }
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117 | }
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118 |
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119 | private List<long> GetRoute(long nodeId) {
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120 | List<long> route = new List<long>();
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121 | long current = nodeId;
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122 | long next;
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123 |
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124 | if (!predecessors.TryGetValue(current, out next)) {
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125 | return null;
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126 | }
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127 | route.Add(current);
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128 | while (predecessors.TryGetValue(current, out next)) {
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129 | current = predecessors[current];
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130 | route.Add(current);
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131 | }
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132 | route.Reverse();
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133 | return route;
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134 | }
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135 | }
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136 | }
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