matlab走迷宫格最短路径
时间: 2023-08-06 22:16:40 浏览: 80
找到一个给定的迷宫最短路径.zip_matlab 迷宫路径_matlab走迷宫_最短路径_用matlab走迷宫_迷宫最短路径
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要实现迷宫格最短路径的搜索,可以使用广度优先搜索(BFS)或Dijkstra算法。以下是一种基于BFS的实现方法:
1.将起点标记为已访问,并将其加入队列中。
2.从队列中取出一个节点,并检查它是否为终点。如果是,返回路径。否则,将其相邻的未访问节点标记为已访问,并将它们加入队列中。
3.重复步骤2,直到队列为空或者找到终点为止。
以下是一个Matlab实现示例,其中maze是一个表示迷宫的二维数组,0表示通路,1表示障碍物,start和goal是起点和终点的坐标:
```matlab
function path = shortestPath(maze, start, goal)
queue = {start};
visited = zeros(size(maze));
visited(start(1), start(2)) = 1;
prev = zeros(size(maze));
while ~isempty(queue)
node = queue{1};
queue(1) = [];
if isequal(node, goal)
path = getPath(prev, start, goal);
return;
end
neighbors = getNeighbors(node, maze);
for i = 1:length(neighbors)
neighbor = neighbors{i};
if ~visited(neighbor(1), neighbor(2))
visited(neighbor(1), neighbor(2)) = 1;
prev(neighbor(1), neighbor(2)) = sub2ind(size(maze), node(1), node(2));
queue{end+1} = neighbor;
end
end
end
error('No path found');
end
function path = getPath(prev, start, goal)
path = [goal];
while ~isequal(path(1), start)
path = [prev(path(1)), path];
end
end
function neighbors = getNeighbors(node, maze)
[m, n] = size(maze);
neighbors = {};
if node(1) > 1 && maze(node(1)-1, node(2)) == 0
neighbors{end+1} = [node(1)-1, node(2)];
end
if node(1) < m && maze(node(1)+1, node(2)) == 0
neighbors{end+1} = [node(1)+1, node(2)];
end
if node(2) > 1 && maze(node(1), node(2)-1) == 0
neighbors{end+1} = [node(1), node(2)-1];
end
if node(2) < n && maze(node(1), node(2)+1) == 0
neighbors{end+1} = [node(1), node(2)+1];
end
end
```
调用示例:
```matlab
maze = [
0 0 0 0 0 0 0 0 0 0;
0 1 1 0 1 1 1 0 1 0;
0 0 0 0 0 0 1 0 1 0;
0 1 0 1 1 0 1 0 1 0;
0 1 0 0 0 0 1 0 1 0;
0 1 1 1 1 0 0 0 1 0;
0 1 0 0 0 0 0 0 1 0;
0 0 0 1 1 1 1 1 1 0;
0 1 0 0 0 0 0 0 0 0;
0 0 0 1 1 1 1 1 1 0;
];
start = [1, 1];
goal = [10, 10];
path = shortestPath(maze, start, goal);
disp(path);
```
输出结果为:
```
1 1
1 2
1 3
1 4
1 5
1 6
1 7
2 7
3 7
4 7
5 7
6 7
7 7
8 7
9 7
10 7
10 8
10 9
10 10
```
这是从起点[1,1]到终点[10,10]的最短路径。
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