|
| 1 | +#include <bits/stdc++.h> |
| 2 | +using namespace std; |
| 3 | + |
| 4 | +// Structure to represent a node in the grid |
| 5 | +struct Node { |
| 6 | + int x, y; // Coordinates |
| 7 | + int gCost; // Cost from start node |
| 8 | + int hCost; // Heuristic cost to goal |
| 9 | + int fCost; // Total cost = g + h |
| 10 | + Node* parent; // Pointer to parent node for path reconstruction |
| 11 | + |
| 12 | + Node(int _x, int _y, int _g, int _h, Node* _parent = nullptr) |
| 13 | + : x(_x), y(_y), gCost(_g), hCost(_h), parent(_parent) { |
| 14 | + fCost = gCost + hCost; |
| 15 | + } |
| 16 | +}; |
| 17 | + |
| 18 | +// Heuristic function: Manhattan distance |
| 19 | +int heuristic(int x1, int y1, int x2, int y2) { |
| 20 | + return abs(x1 - x2) + abs(y1 - y2); |
| 21 | +} |
| 22 | + |
| 23 | +// Check if a position is valid and walkable |
| 24 | +bool isValid(int x, int y, int rows, int cols, vector<vector<int>>& grid) { |
| 25 | + return x >= 0 && y >= 0 && x < rows && y < cols && grid[x][y] == 0; |
| 26 | +} |
| 27 | + |
| 28 | +// A* algorithm to find shortest path |
| 29 | +vector<pair<int,int>> aStar(vector<vector<int>>& grid, pair<int,int> start, pair<int,int> goal) { |
| 30 | + int rows = grid.size(); |
| 31 | + int cols = grid[0].size(); |
| 32 | + |
| 33 | + auto cmp = [](Node* a, Node* b) { return a->fCost > b->fCost; }; |
| 34 | + priority_queue<Node*, vector<Node*>, decltype(cmp)> openSet(cmp); |
| 35 | + |
| 36 | + vector<vector<bool>> closedSet(rows, vector<bool>(cols, false)); |
| 37 | + |
| 38 | + Node* startNode = new Node(start.first, start.second, 0, heuristic(start.first, start.second, goal.first, goal.second)); |
| 39 | + openSet.push(startNode); |
| 40 | + |
| 41 | + int dx[] = {-1, 1, 0, 0}; |
| 42 | + int dy[] = {0, 0, -1, 1}; |
| 43 | + |
| 44 | + while (!openSet.empty()) { |
| 45 | + Node* current = openSet.top(); |
| 46 | + openSet.pop(); |
| 47 | + |
| 48 | + if (current->x == goal.first && current->y == goal.second) { |
| 49 | + // Reconstruct path |
| 50 | + vector<pair<int,int>> path; |
| 51 | + while (current) { |
| 52 | + path.push_back({current->x, current->y}); |
| 53 | + current = current->parent; |
| 54 | + } |
| 55 | + reverse(path.begin(), path.end()); |
| 56 | + return path; |
| 57 | + } |
| 58 | + |
| 59 | + if (closedSet[current->x][current->y]) continue; |
| 60 | + closedSet[current->x][current->y] = true; |
| 61 | + |
| 62 | + for (int i = 0; i < 4; i++) { |
| 63 | + int nx = current->x + dx[i]; |
| 64 | + int ny = current->y + dy[i]; |
| 65 | + |
| 66 | + if (isValid(nx, ny, rows, cols, grid) && !closedSet[nx][ny]) { |
| 67 | + int g = current->gCost + 1; |
| 68 | + int h = heuristic(nx, ny, goal.first, goal.second); |
| 69 | + Node* neighbor = new Node(nx, ny, g, h, current); |
| 70 | + openSet.push(neighbor); |
| 71 | + } |
| 72 | + } |
| 73 | + } |
| 74 | + |
| 75 | + return {}; // No path found |
| 76 | +} |
| 77 | + |
| 78 | +// Example usage |
| 79 | +int main() { |
| 80 | + vector<vector<int>> grid = { |
| 81 | + {0, 1, 0, 0, 0}, |
| 82 | + {0, 1, 0, 1, 0}, |
| 83 | + {0, 0, 0, 1, 0}, |
| 84 | + {0, 1, 1, 0, 0}, |
| 85 | + {0, 0, 0, 0, 0} |
| 86 | + }; |
| 87 | + |
| 88 | + pair<int,int> start = {0, 0}; |
| 89 | + pair<int,int> goal = {4, 4}; |
| 90 | + |
| 91 | + vector<pair<int,int>> path = aStar(grid, start, goal); |
| 92 | + |
| 93 | + if (!path.empty()) { |
| 94 | + cout << "Path found:\n"; |
| 95 | + for (auto p : path) { |
| 96 | + cout << "(" << p.first << "," << p.second << ") "; |
| 97 | + } |
| 98 | + cout << endl; |
| 99 | + } else { |
| 100 | + cout << "No path found.\n"; |
| 101 | + } |
| 102 | + |
| 103 | + return 0; |
| 104 | +} |
0 commit comments