在数字迷宫中,玩家总是从左上方的正方形开始,并进行一定数量的移动,如果存在解决方案,则将其带到标有“目标”的正方形。迷宫中每个单元格中的值指示玩家必须从其当前位置水平或垂直移动多远。 我的任务是找出是否有最短路径到达标有“目标”的单元格并打印出来。
输入 迷宫为方形2D阵列形式。迷宫说明中的目标正方形由数字-1表示。 输出量 对于迷宫,输出迷宫的解或短语“无解”。解应以“(行,列)”格式,以平方坐标的列表形式输出,并按从中访问的顺序排列。从目标开始,包括起始单元。从开始到实现目标,您将需要报告最短的解决方案。最短的解决方案将是唯一的。 我已经尝试了一些解决方案,但是我认为存在的问题是,解决方案始终是我发现的最短路径。
public class findShoretstPath
{
private static Stack<Node> stack = new Stack<>();
private static class Node
{
private int[] coordinate = new int[2];
private int data;
private Node Right, Left, Top, Bottom;
public Node(){}
}
public static boolean isValid(int[][] a, int x, int y)
{
if(x >= 0 && x < a.length && y >= 0 && y < a.length)
return true;
return false;
}
public static Node[][] nodeArray(int[][] a)
{
Node[][] nodeA = new Node[a.length][a.length];
for(int i = 0; i<nodeA.length; i++)
for(int j = 0; j<nodeA[i].length; j++)
{
nodeA[i][j] = new Node();
nodeA[i][j].coordinate[0] = i;
nodeA[i][j].coordinate[1] = j;
nodeA[i][j].data = a[i][j];
}
for(int i = 0; i<nodeA.length; i++)
for(int j = 0; j<nodeA[i].length; j++)
{
if(isValid(a, i, j+nodeA[i][j].data))
nodeA[i][j].Right = nodeA[i][j+nodeA[i][j].data];
if(isValid(a, i, j-nodeA[i][j].data))
nodeA[i][j].Left = nodeA[i][j-nodeA[i][j].data];
if(isValid(a, i+nodeA[i][j].data, j))
nodeA[i][j].Bottom = nodeA[i+nodeA[i][j].data][j];
if(isValid(a, i-nodeA[i][j].data, j))
nodeA[i][j].Top = nodeA[i-nodeA[i][j].data][j];
}
return nodeA;
}
public static boolean findPath(Node[][] s, int[][] t, int x, int y)
{
boolean b = false;
if(t[x][y] == 0)
{
t[x][y] = 1;
if(s[x][y].data == -1) b = true;
else
{
if(s[x][y].Right != null) b = findPath(s, t, x, y+s[x][y].data);
if(!b && s[x][y].Bottom != null) b = findPath(s, t, x+s[x][y].data, y);
if(!b && s[x][y].Left != null) b = findPath(s, t, x, y-s[x][y].data);
if(!b && s[x][y].Top != null) b = findPath(s, t, x-s[x][y].data, y);
}
if(b) stack.add(s[x][y]);
}
return b;
}
public static void main(String[] args)
{
int[][] maze = {{1,1,1,1,1},
{1,1,1,1,1},
{1,1,1,1,1},
{1,1,1,1,3},
{4,1,1,3,-1}};
Node[][] net = nodeArray(maze);
int[][] path = new int[maze.length][maze[0].lenght];
if(findPath(net, path, 0, 0))
{
Node temp;
while(!stack.isEmpty())
{
temp = stack.pop();
System.out.print("("+temp.coordinate[0]+" "+temp.coordinate[1]+") ");
}
}
else System.out.println("No Solution Possible.");
}
}
在此示例中,输出应为:
(0 0) (1 0) (2 0) (3 0) (4 0) (4 4)
但是我有这个输出:
(0 0) (0 1) (0 2) (0 3) (0 4) (1 4) (2 4) (3 4) (3 1) (3 2) (3 3) (4 3) (4 0) (4 4)
请提供任何有关如何修复代码的帮助,以便解决方案是最短的路径?!
答案 0 :(得分:0)
在搜索了BFS之后,现在我知道了DFS和BFS之间的区别。 DFS算法从源到最后一个节点移动一条路径,如果发现目标已停止,则再次尝试从源到最后一个节点的另一条路径,直到达到目标为止。当BFS算法从源传播到下面的级别时,如果发现目标停止,则转到下一个级别,依此类推。 对于我的问题,BFS是找到最短路径的合适算法。 经过一些修改的代码:
public class findShoretstPath
{
private static class Node
{
private int[] coordinate = new int[2];
private int data;
private Node Right, Left, Top, Bottom;
public Node(){}
}
public static boolean isLinked(Node s, Node d) //method to determine if the node d is linked to the node s
{
if(d.Right == s) return true;
if(d.Bottom == s) return true;
if(d.Left == s) return true;
if(d.Top == s) return true;
return false;
}
public static boolean isValid(int[][] a, int x, int y)
{
if(x >= 0 && x < a.length && y >= 0 && y < a.length)
return true;
return false;
}
public static Node[][] nodeArray(int[][] a)
{
Node[][] nodeA = new Node[a.length][a.length];
for(int i = 0; i<nodeA.length; i++)
for(int j = 0; j<nodeA[i].length; j++)
{
nodeA[i][j] = new Node();
nodeA[i][j].coordinate[0] = i;
nodeA[i][j].coordinate[1] = j;
nodeA[i][j].data = a[i][j];
}
for(int i = 0; i<nodeA.length; i++)
for(int j = 0; j<nodeA[i].length; j++)
{
if(isValid(a, i, j+nodeA[i][j].data))
nodeA[i][j].Right = nodeA[i][j+nodeA[i][j].data];
if(isValid(a, i, j-nodeA[i][j].data))
nodeA[i][j].Left = nodeA[i][j-nodeA[i][j].data];
if(isValid(a, i+nodeA[i][j].data, j))
nodeA[i][j].Bottom = nodeA[i+nodeA[i][j].data][j];
if(isValid(a, i-nodeA[i][j].data, j))
nodeA[i][j].Top = nodeA[i-nodeA[i][j].data][j];
}
return nodeA;
}
public static void shortestPath(Node[][] nodes, int x, int y)
{
Stack<Node> stack = new Stack<>();
Queue<Node> queue = new LinkedList<>();
int[][] path = new int[nodes.length][nodes[0].length];
boolean b = false;
int level = 1;//to keep tracking each level viseted
queue.add(nodes[x][y]);
path[x][y] = level;
while(!queue.isEmpty())
{
Node temp;
level++;
int size = queue.size();
for(int i = 0; i<size; i++)
{
temp = queue.remove();
if(temp.data == -1) {b = true; break;}
if(temp.Right != null && path[temp.Right.coordinate[0]][temp.Right.coordinate[1]] == 0)
{
queue.add(temp.Right);
path[temp.Right.coordinate[0]][temp.Right.coordinate[1]] = level;
}
if(temp.Bottom != null && path[temp.Bottom.coordinate[0]][temp.Bottom.coordinate[1]] == 0)
{
queue.add(temp.Bottom);
path[temp.Bottom.coordinate[0]][temp.Bottom.coordinate[1]] = level;
}
if(temp.Left != null && path[temp.Left.coordinate[0]][temp.Left.coordinate[1]] == 0)
{
queue.add(temp.Left);
path[temp.Left.coordinate[0]][temp.Left.coordinate[1]] = level;
}
if(temp.Top != null && path[temp.Top.coordinate[0]][temp.Top.coordinate[1]] == 0)
{
queue.add(temp.Top);
path[temp.Top.coordinate[0]][temp.Top.coordinate[1]] = level;
}
}
if(b) break;
}
if(b)
{
int x1 = 0, y1 = 0;
for(int i = 0; i<nodes.length; i++)// to locate the position of the goal
for(int j = 0; j<nodes.length; j++)
if(nodes[i][j].data == -1)
{
x1 = i; y1 = j;
}
stack.add(nodes[x1][y1]);
int d = path[x1][y1];
while(d > 0)//go back from the goal to the source
{
for(int i = 0; i<path.length; i++)
{
if(path[x1][i] == d-1 && isLinked(nodes[x1][y1], nodes[x1][i]))
{
stack.add(nodes[x1][i]);
y1 = i;
break;
}
else if(path[i][y1] == d-1 && isLinked(nodes[x1][y1], nodes[i][y1]))
{
stack.add(nodes[i][y1]);
x1 = i;
break;
}
}
d--;
}
Node temp;
int stackSize = stack.size();
for(int i = 0; i<stackSize; i++)// print the final result
{
temp = stack.pop();
System.out.print("("+temp.coordinate[0]+" "+temp.coordinate[1]+") ");
}
}
else System.out.print("No Solution Possible.");
}
public static void main(String[] args)
{
int[][] maze = {{1,1,1,1,1},
{1,1,1,1,1},
{1,1,1,1,1},
{1,1,1,1,3},
{4,1,1,3,-1}};
Node[][] net = nodeArray(maze);
shortestPath(net, 0, 0));
System.out.println("");
}
}
现在的输出是:
(0 0) (1 0) (2 0) (3 0) (4 0) (4 4)