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java - 寻找两个节点之间的最短距离

转载 作者:搜寻专家 更新时间:2023-11-01 03:45:56 25 4
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我找到了 Dijkstra 算法并将其应用到我创建的图表中 - 它显示了我所在地区的 map enter image description here

代码工作正常,但我希望它显示它访问过的所有节点,以便从源节点到达位置节点。因此,例如:如果我将源节点设置为 1 (Banstead),并将位置节点设置为 4 (Whteleafe) - 我希望它可能将它访问过的节点存储在数组中,如 Array = {1,2,4} Any想法?我想将它放在一个 FXML 文件中,并将节点作为椭圆并用线连接它们 - 但为了这样做,我需要存储所访问节点的值。

package dijkstras;

public class Dijkstras {

static class createGraph{
int vertices;
int matrix[][];

public createGraph(int vertex){

this.vertices = vertex;
matrix = new int[vertex][vertex];
}

public void edge(int source, int destination, int weight){

matrix[source][destination] = weight;
matrix[destination][source] = weight;
}

int getMinVertex(boolean [] mst, int [] key){
int minKey = Integer.MAX_VALUE;
int vertex = -1;
for (int i = 1; i < vertices; i++) {
if(mst[i]==false && minKey>key[i]){
minKey = key[i];
vertex =i;
}
}

return vertex;
}

public void dijkstras(int sourceVertex){
boolean[] spt = new boolean[vertices];
int [] distance = new int[vertices];
int infinity = Integer.MAX_VALUE;

//setting all distances to infinity
for(int i=1; i<vertices; i++){
distance[i] = infinity;
}

//test for starting vertext = 1
distance[sourceVertex] = 1;

//create tree
for(int i=1; i<vertices; i++){

int vertexU = getMinVertex(spt, distance);

spt[vertexU] = true;
//go through all possible paths adjacent to vertex
for(int vertexV=1; vertexV<vertices; vertexV++){
//check if edge between Vu and Vv exists
if(matrix[vertexU][vertexV]>0){

//checks vertexV exists and if distance is not infinite
if(spt[vertexV]==false && matrix[vertexU][vertexV]!=infinity){

int newKey = matrix[vertexU][vertexV] + distance[vertexU];
if(newKey<distance[vertexV])
distance[vertexV] = newKey;
}
}
}
}

System.out.println();
printDijkstras(sourceVertex, distance);
}

public void printDijkstras(int sourceVertex, int [] key){
System.out.println("Dijkstra Algorithm:");
int LocationOfChosenUser = 10;
System.out.println("Source Vertex: "+ sourceVertex + " to " +
LocationOfChosenUser + " distance: " + (key[LocationOfChosenUser]-1));
}
}

public static void graph() {
int vertices = 18;
createGraph graph = new createGraph(vertices);
int sourceVertex = 8;
//adding all nodes
graph.edge(1,2,4); graph.edge(1,17,3);
graph.edge(2,1,4); graph.edge(2,4,4); graph.edge(2,10,5);
graph.edge(3,4,1); graph.edge(3,6,5); graph.edge(3,5,2);
graph.edge(4,2,4); graph.edge(4,3,1); graph.edge(4,5,2);
graph.edge(5,4,2); graph.edge(5,3,2); graph.edge(5,6,3); graph.edge(5,9,4); graph.edge(5,10,5);
graph.edge(6,3,5); graph.edge(6,5,3); graph.edge(6,7,2); graph.edge(6,9,2);
graph.edge(7,6,2); graph.edge(7,8,5);
graph.edge(8,7,5); graph.edge(8,9,4); graph.edge(8,12,5);
graph.edge(9,5,4); graph.edge(9,8,4); graph.edge(9,11,5); graph.edge(9,6,2);
graph.edge(10,2,5); graph.edge(10,5,5); graph.edge(10,13,1);graph.edge(10,14,3); graph.edge(10,17,6);
graph.edge(11,9,5); graph.edge(11,12,3); graph.edge(11,13,3);
graph.edge(12,8,5); graph.edge(12,11,3); graph.edge(12,15,4);
graph.edge(13,11,3); graph.edge(13,10,1); graph.edge(13,14,2);
graph.edge(14,10,3); graph.edge(14,13,2); graph.edge(14,16,6); graph.edge(14,15,6);
graph.edge(15,12,4); graph.edge(15,14,5); graph.edge(15,16,9);
graph.edge(16,15,9); graph.edge(16,17,1); graph.edge(16,14,6);
graph.edge(17,1,3); graph.edge(17,16,1);

graph.dijkstras(sourceVertex);
}
public static void main(String[] args){
graph();
}
}

如您所见,我将 sourceVertex 设置为 8,将 LocationVertex (LocationOfChosenUser) 设置为 10。输出如下所示:

 Dijkstra Algorithm:
Source Vertex: 8 to 10 distance: 12

最佳答案

最简单的方法是只跟踪每个节点的前任节点。当您到达终点节点时,您可以回溯以找出您来自哪里。

添加初始化

int [] comeFrom = new int[vertices];

改变

if(newKey<distance[vertexV])
distance[vertexV] = newKey;

if(newKey<distance[vertexV]) {
distance[vertexV] = newKey;
comeFrom[vertexV] = vertexU;
}

打印出来的时候

List<Integer> path = new ArrayList();
int pos = LocationOfChosenUser;

while(pos != sourceVertex) {
path.add(pos);
pos = comeFrom[pos];
}

for (int i=path.size()-1; i>=0; i--) {
System.out.print(path.get(i));
if (i > 0) System.out.print(" -> ");
}

关于java - 寻找两个节点之间的最短距离,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55098831/

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