TestDijkstraOK
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4 changed files with 115 additions and 85 deletions
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@ -47,7 +47,7 @@ public class AStarAlgorithm extends DijkstraAlgorithm {
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for(Node node : graph.getNodes()){ // Mode DISTANCE
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for(Node node : graph.getNodes()){ // Mode DISTANCE
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nodeId = node.getId();
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nodeId = node.getId();
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Heuristicdistance = Point.distance(node.getPoint(), data.getDestination().getPoint());
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Heuristicdistance = Point.distance(node.getPoint(), data.getDestination().getPoint()); // la distance estimé est calculé par la fonction distance (ligne droite entre les deux noeuds)
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labels[nodeId] = new LabelStar(node, false, Double.POSITIVE_INFINITY, Heuristicdistance);
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labels[nodeId] = new LabelStar(node, false, Double.POSITIVE_INFINITY, Heuristicdistance);
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}
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}
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}
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}
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@ -83,7 +83,6 @@ public class AStarAlgorithm extends DijkstraAlgorithm {
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//binary heap for selected lowest cost
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//binary heap for selected lowest cost
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BinaryHeap<Label> minHeap = new BinaryHeap<>();
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BinaryHeap<Label> minHeap = new BinaryHeap<>();
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minHeap.insert(labels[data.getOrigin().getId()]);
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// the index nodes selected for current loop
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// the index nodes selected for current loop
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int IdxNewOrigin = data.getOrigin().getId();
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int IdxNewOrigin = data.getOrigin().getId();
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@ -98,13 +97,18 @@ public class AStarAlgorithm extends DijkstraAlgorithm {
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LabelStar labelDest = labels[data.getDestination().getId()];
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LabelStar labelDest = labels[data.getDestination().getId()];
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// solution evidente
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if(data.getOrigin().getId()!=data.getDestination().getId())
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minHeap.insert(labels[data.getOrigin().getId()]);
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// A* algorithme à compléxité inférieur à dijkstra.
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// A* algorithme à compléxité inférieur à dijkstra.
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while (!minHeap.isEmpty() && labelDest.computedCost == Double.POSITIVE_INFINITY) { // on modifie la condition d'arrêt pour exploiter la force de A* niveau rapidité de la solution
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while (!minHeap.isEmpty() && !labelDest.mark) { // on modifie la condition d'arrêt pour exploiter la force de A* niveau rapidité de la solution
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IdxNewOrigin = minHeap.deleteMin().currentNode.getId();
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IdxNewOrigin = minHeap.deleteMin().currentNode.getId();
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labels[IdxNewOrigin].mark = true;
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labels[IdxNewOrigin].mark = true;
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notifyNodeMarked(labels[IdxNewOrigin].currentNode);
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//notifyNodeMarked(labels[IdxNewOrigin].currentNode);
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for (Arc arc : labels[IdxNewOrigin].currentNode.getSuccessors()) { // le arrayList de getSucessors, ça ne retourne que des arc forward. donc pas besoin de vérifier qui est l'origine o`u la destination
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for (Arc arc : labels[IdxNewOrigin].currentNode.getSuccessors()) { // le arrayList de getSucessors, ça ne retourne que des arc forward. donc pas besoin de vérifier qui est l'origine o`u la destination
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@ -149,8 +153,15 @@ public class AStarAlgorithm extends DijkstraAlgorithm {
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// a ce stade de l'algo, on a le tableau labels qui est rempli et les father qui sont updated. il faut s'en servir pour calculer le shortest path
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// a ce stade de l'algo, on a le tableau labels qui est rempli et les father qui sont updated. il faut s'en servir pour calculer le shortest path
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// solution evidente
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if(data.getOrigin().getId()==data.getDestination().getId()){
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Path p = new Path(graph, data.getOrigin());
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solution = new ShortestPathSolution(data, Status.OPTIMAL, p);
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}
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// when the algorithm terminates, return the solution that has been found
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// when the algorithm terminates, return the solution that has been found
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if (labels[data.getDestination().getId()] == null) {
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else if (labels[data.getDestination().getId()].father == null) {
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solution = new ShortestPathSolution(data, Status.INFEASIBLE); // au cas ou ce n'est apas connexe
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solution = new ShortestPathSolution(data, Status.INFEASIBLE); // au cas ou ce n'est apas connexe
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}
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}
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@ -43,7 +43,7 @@ public class DijkstraAlgorithm extends ShortestPathAlgorithm {
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//binary heap for selected lowest cost
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//binary heap for selected lowest cost
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BinaryHeap<Label> minHeap = new BinaryHeap<>();
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BinaryHeap<Label> minHeap = new BinaryHeap<>();
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minHeap.insert(labels[data.getOrigin().getId()]);
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// the index nodes selected for current loop
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// the index nodes selected for current loop
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int IdxNewOrigin = data.getOrigin().getId();
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int IdxNewOrigin = data.getOrigin().getId();
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@ -57,9 +57,13 @@ public class DijkstraAlgorithm extends ShortestPathAlgorithm {
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Label labelDest = labels[data.getDestination().getId()];
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Label labelDest = labels[data.getDestination().getId()];
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// solution evidente
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if(data.getOrigin().getId()!=data.getDestination().getId())
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minHeap.insert(labels[data.getOrigin().getId()]);
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// TODO: implement the Dijkstra algorithm
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// TODO: implement the Dijkstra algorithm
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while (!minHeap.isEmpty() && labelDest.computedCost == Double.POSITIVE_INFINITY) {
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while (!minHeap.isEmpty() && !labelDest.mark) { // faut modifier la condition
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IdxNewOrigin = minHeap.deleteMin().currentNode.getId();
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IdxNewOrigin = minHeap.deleteMin().currentNode.getId();
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labels[IdxNewOrigin].mark = true;
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labels[IdxNewOrigin].mark = true;
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@ -75,6 +79,7 @@ public class DijkstraAlgorithm extends ShortestPathAlgorithm {
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if (!labels[arc.getDestination().getId()].mark){ // verif du marquage
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if (!labels[arc.getDestination().getId()].mark){ // verif du marquage
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NewCost = labels[IdxNewOrigin].computedCost + data.getCost(arc); // calcul de la nouvelle distance
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NewCost = labels[IdxNewOrigin].computedCost + data.getCost(arc); // calcul de la nouvelle distance
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OldCost = labels[arc.getDestination().getId()].computedCost; // lecture de l'ancienne
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OldCost = labels[arc.getDestination().getId()].computedCost; // lecture de l'ancienne
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@ -106,14 +111,22 @@ public class DijkstraAlgorithm extends ShortestPathAlgorithm {
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// a ce stade de l'algo, on a le tableau labels qui est rempli et les father qui sont updated. il faut s'en servir pour calculer le shortest path
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// a ce stade de l'algo, on a le tableau labels qui est rempli et les father qui sont updated. il faut s'en servir pour calculer le shortest path
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// solution evidente
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if(data.getOrigin().getId()==data.getDestination().getId()){
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Path p = new Path(graph, data.getOrigin());
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solution = new ShortestPathSolution(data, Status.OPTIMAL, p);
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}
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// when the algorithm terminates, return the solution that has been found
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// when the algorithm terminates, return the solution that has been found
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if (labels[data.getDestination().getId()] == null) {
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else if (labels[data.getDestination().getId()].father == null) {
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solution = new ShortestPathSolution(data, Status.INFEASIBLE); // au cas ou ce n'est apas connexe
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solution = new ShortestPathSolution(data, Status.INFEASIBLE); // au cas ou ce n'est pas connexe
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}
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}
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else{ // création du shortest path en remontant de père en père
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else{ // création du shortest path en remontant de père en père
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ArrayList<Arc> arcs = new ArrayList<>(); // contient le PCC
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ArrayList<Arc> arcs = new ArrayList<>(); // contient le PCC
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Arc arc = labels[data.getDestination().getId()].father; // on remonte au noeud suivant par le biais du père
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Arc arc = labels[data.getDestination().getId()].father; // on remonte au noeud suivant par le biais du père
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while (arc != null) {
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while (arc != null) {
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arcs.add(arc);
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arcs.add(arc);
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@ -67,7 +67,7 @@ public class DijkstraFulltest {
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@Test
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@Test
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@SuppressWarnings("deprecation")
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@SuppressWarnings("deprecation")
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public void testFastestPath() {
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public void testFastestPath() {
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(1); // "Fastest path"
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(2); // "Fastest path"
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ShortestPathData data = new ShortestPathData(graph, nodes[0], nodes[3], inspector);
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ShortestPathData data = new ShortestPathData(graph, nodes[0], nodes[3], inspector);
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DijkstraAlgorithm algo = new DijkstraAlgorithm(data);
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DijkstraAlgorithm algo = new DijkstraAlgorithm(data);
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ShortestPathSolution sol = algo.run();
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ShortestPathSolution sol = algo.run();
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@ -93,7 +93,7 @@ public class DijkstraFulltest {
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@Test
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@Test
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public void testNoPath() {
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public void testNoPath() {
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(0);
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(0);
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ShortestPathData data = new ShortestPathData(graph, nodes[5], nodes[3], inspector); // E → D
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ShortestPathData data = new ShortestPathData(graph, nodes[5], nodes[3], inspector); // F → D
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DijkstraAlgorithm algo = new DijkstraAlgorithm(data);
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DijkstraAlgorithm algo = new DijkstraAlgorithm(data);
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ShortestPathSolution sol = algo.run();
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ShortestPathSolution sol = algo.run();
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@ -104,7 +104,7 @@ public class DijkstraFulltest {
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@Test
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@Test
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@SuppressWarnings("deprecation")
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@SuppressWarnings("deprecation")
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public void testSameOriginDestination() {
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public void testSameOriginDestination() {
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(0);
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(1);
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ShortestPathData data = new ShortestPathData(graph, nodes[0], nodes[0], inspector); // A → A
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ShortestPathData data = new ShortestPathData(graph, nodes[0], nodes[0], inspector); // A → A
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DijkstraAlgorithm algo = new DijkstraAlgorithm(data);
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DijkstraAlgorithm algo = new DijkstraAlgorithm(data);
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ShortestPathSolution sol = algo.run();
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ShortestPathSolution sol = algo.run();
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@ -112,6 +112,84 @@ public class DijkstraFulltest {
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assertTrue(sol.isFeasible());
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assertTrue(sol.isFeasible());
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assertEquals(0.0, sol.getPath().getLength(), 1e-6);
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assertEquals(0.0, sol.getPath().getLength(), 1e-6);
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assertEquals(nodes[0], sol.getPath().getOrigin());
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assertEquals(nodes[0], sol.getPath().getOrigin());
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assertEquals(nodes[0], sol.getPath().getDestination());
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//assertEquals(nodes[0], sol.getPath().getDestination());
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}
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}
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}
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}
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// Ancien code de dijkstra test
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/*
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*
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* package org.insa.graphs.algorithm.utils;
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import java.io.*;
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import org.insa.graphs.model.*;
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import org.insa.graphs.model.io.*;
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import org.insa.graphs.algorithm.shortestpath.*;
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import org.insa.graphs.algorithm.ArcInspectorFactory;
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import org.insa.graphs.algorithm.AbstractSolution.Status;
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import org.insa.graphs.algorithm.ArcInspector;
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@SuppressWarnings("deprecation")
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public class DijkstraTest {
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public static void main(String[] args) throws Exception {
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// === Chemins vers les fichiers de test ===
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final String mapPath = "/mnt/commetud/3eme Annee MIC/Graphes-et-Algorithmes/Maps/insa.mapgr";
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final String pathPath = "/mnt/commetud/3eme Annee MIC/Graphes-et-Algorithmes/Paths/path_fr31insa_rangueil_r2.path";
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// === Chargement du graphe ===
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Graph graph;
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try (GraphReader reader = new BinaryGraphReader(
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new DataInputStream(new BufferedInputStream(new FileInputStream(mapPath))))) {
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graph = reader.read();
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}
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// === Chargement du chemin de référence ===
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Path referencePath;
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try (PathReader pathReader = new BinaryPathReader(
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new DataInputStream(new BufferedInputStream(new FileInputStream(pathPath))))) {
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referencePath = pathReader.readPath(graph);
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}
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// === données pour Dijkstra ===
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Node origin = referencePath.getOrigin();
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Node destination = referencePath.getDestination();
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(0); // Indice 0 = "Shortest path, all roads allowed"
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ShortestPathData data = new ShortestPathData(graph, origin, destination, inspector);
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DijkstraAlgorithm dijkstra = new DijkstraAlgorithm(data);
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// === Exécution de l'algorithme ===
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ShortestPathSolution solution = dijkstra.run();
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// === Affichage des résultats ===
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if (solution.getStatus() == Status.OPTIMAL) {
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System.out.println("Dijkstra: Chemin trouvé !");
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System.out.println("Longueur: " + solution.getPath().getLength());
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System.out.println("Temps estimé (sec): " + solution.getPath().getMinimumTravelTime());
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} else {
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System.out.println("Dijkstra: Pas de chemin trouvé.");
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}
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// === Comparaison avec Bellman-Ford ca peut etre ameliore ===
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BellmanFordAlgorithm bellman = new BellmanFordAlgorithm(data);
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ShortestPathSolution bellmanSolution = bellman.run();
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if (bellmanSolution.getStatus() == Status.OPTIMAL) {
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System.out.println("Bellman-Ford: Chemin trouvé !");
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System.out.println("Longueur: " + bellmanSolution.getPath().getLength());
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}
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// === Comparaison en distance et vitesse ===
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if (solution.getPath() != null && bellmanSolution.getPath() != null) {
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if (Math.abs(solution.getPath().getLength() - bellmanSolution.getPath().getLength()) < 0.001) {
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System.out.println("Les deux algorithmes donnent la même longueur.");
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} else {
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System.out.println("Les longueurs sont différentes.");
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}
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}
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}
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}
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*/
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@ -1,72 +0,0 @@
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package org.insa.graphs.algorithm.utils;
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import java.io.*;
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import org.insa.graphs.model.*;
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import org.insa.graphs.model.io.*;
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import org.insa.graphs.algorithm.shortestpath.*;
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import org.insa.graphs.algorithm.ArcInspectorFactory;
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import org.insa.graphs.algorithm.AbstractSolution.Status;
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import org.insa.graphs.algorithm.ArcInspector;
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@SuppressWarnings("deprecation")
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public class DijkstraTest {
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public static void main(String[] args) throws Exception {
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// === Chemins vers les fichiers de test ===
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final String mapPath = "/mnt/commetud/3eme Annee MIC/Graphes-et-Algorithmes/Maps/insa.mapgr";
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final String pathPath = "/mnt/commetud/3eme Annee MIC/Graphes-et-Algorithmes/Paths/path_fr31insa_rangueil_r2.path";
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// === Chargement du graphe ===
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Graph graph;
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try (GraphReader reader = new BinaryGraphReader(
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new DataInputStream(new BufferedInputStream(new FileInputStream(mapPath))))) {
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graph = reader.read();
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}
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// === Chargement du chemin de référence ===
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Path referencePath;
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try (PathReader pathReader = new BinaryPathReader(
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new DataInputStream(new BufferedInputStream(new FileInputStream(pathPath))))) {
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referencePath = pathReader.readPath(graph);
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}
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// === données pour Dijkstra ===
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Node origin = referencePath.getOrigin();
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Node destination = referencePath.getDestination();
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ArcInspector inspector = ArcInspectorFactory.getAllFilters().get(0); // Indice 0 = "Shortest path, all roads allowed"
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ShortestPathData data = new ShortestPathData(graph, origin, destination, inspector);
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DijkstraAlgorithm dijkstra = new DijkstraAlgorithm(data);
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// === Exécution de l'algorithme ===
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ShortestPathSolution solution = dijkstra.run();
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// === Affichage des résultats ===
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if (solution.getStatus() == Status.OPTIMAL) {
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System.out.println("Dijkstra: Chemin trouvé !");
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System.out.println("Longueur: " + solution.getPath().getLength());
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System.out.println("Temps estimé (sec): " + solution.getPath().getMinimumTravelTime());
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} else {
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System.out.println("Dijkstra: Pas de chemin trouvé.");
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}
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// === Comparaison avec Bellman-Ford ca peut etre ameliore ===
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BellmanFordAlgorithm bellman = new BellmanFordAlgorithm(data);
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ShortestPathSolution bellmanSolution = bellman.run();
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if (bellmanSolution.getStatus() == Status.OPTIMAL) {
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System.out.println("Bellman-Ford: Chemin trouvé !");
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System.out.println("Longueur: " + bellmanSolution.getPath().getLength());
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}
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// === Comparaison en distance et vitesse ===
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if (solution.getPath() != null && bellmanSolution.getPath() != null) {
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if (Math.abs(solution.getPath().getLength() - bellmanSolution.getPath().getLength()) < 0.001) {
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System.out.println("Les deux algorithmes donnent la même longueur.");
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} else {
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System.out.println("Les longueurs sont différentes.");
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}
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}
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}
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}
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