寻路算法有很多种,A*寻路算法被公认为最好的寻路算法。
首先要理解什么是A*寻路算法,可以参考这三篇文章:
http://www.cppblog.com/christanxw/archive/2006/04/07/5126.html(中文)
http://www.cnblogs.com/technology/archive/2011/05/26/2058842.html(中文)
原创文章,转载请注明出处:http://blog.csdn.net/ruils/article/details/40780657
下面为测试地图,0表示可以通行,1表示障碍物:
要从点(5, 1)到点(5, 5),通过A*寻路算法找到以路径为@所示:
在代码中可以修改障碍物,起点和终点来测试算法。
最后代码:
import java.util.ArrayList; import java.util.List; public class AStar { public static final int[][] NODES = { { 0, 0, 0, 0, 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0, 0, 0, 0, 0 }, { 0, 0, 0, 1, 0, 0, 0, 0, 0 }, { 0, 0, 0, 1, 0, 0, 0, 0, 0 }, { 0, 0, 0, 1, 0, 0, 0, 0, 0 }, { 0, 0, 0, 1, 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0, 0, 0, 0, 0 }, { 0, 0, 0, 0, 0, 0, 0, 0, 0 }, }; public static final int STEP = 10; private ArrayList<Node> openList = new ArrayList<Node>(); private ArrayList<Node> closeList = new ArrayList<Node>(); public Node findMinFNodeInOpneList() { Node tempNode = openList.get(0); for (Node node : openList) { if (node.F < tempNode.F) { tempNode = node; } } return tempNode; } public ArrayList<Node> findNeighborNodes(Node currentNode) { ArrayList<Node> arrayList = new ArrayList<Node>(); // 只考虑上下左右,不考虑斜对角 int topX = currentNode.x; int topY = currentNode.y - 1; if (canReach(topX, topY) && !exists(closeList, topX, topY)) { arrayList.add(new Node(topX, topY)); } int bottomX = currentNode.x; int bottomY = currentNode.y + 1; if (canReach(bottomX, bottomY) && !exists(closeList, bottomX, bottomY)) { arrayList.add(new Node(bottomX, bottomY)); } int leftX = currentNode.x - 1; int leftY = currentNode.y; if (canReach(leftX, leftY) && !exists(closeList, leftX, leftY)) { arrayList.add(new Node(leftX, leftY)); } int rightX = currentNode.x + 1; int rightY = currentNode.y; if (canReach(rightX, rightY) && !exists(closeList, rightX, rightY)) { arrayList.add(new Node(rightX, rightY)); } return arrayList; } public boolean canReach(int x, int y) { if (x >= 0 && x < NODES.length && y >= 0 && y < NODES[0].length) { return NODES[x][y] == 0; } return false; } public Node findPath(Node startNode, Node endNode) { // 把起点加入 open list openList.add(startNode); while (openList.size() > 0) { // 遍历 open list ,查找 F值最小的节点,把它作为当前要处理的节点 Node currentNode = findMinFNodeInOpneList(); // 从open list中移除 openList.remove(currentNode); // 把这个节点移到 close list closeList.add(currentNode); ArrayList<Node> neighborNodes = findNeighborNodes(currentNode); for (Node node : neighborNodes) { if (exists(openList, node)) { foundPoint(currentNode, node); } else { notFoundPoint(currentNode, endNode, node); } } if (find(openList, endNode) != null) { return find(openList, endNode); } } return find(openList, endNode); } private void foundPoint(Node tempStart, Node node) { int G = calcG(tempStart, node); if (G < node.G) { node.parent = tempStart; node.G = G; node.calcF(); } } private void notFoundPoint(Node tempStart, Node end, Node node) { node.parent = tempStart; node.G = calcG(tempStart, node); node.H = calcH(end, node); node.calcF(); openList.add(node); } private int calcG(Node start, Node node) { int G = STEP; int parentG = node.parent != null ? node.parent.G : 0; return G + parentG; } private int calcH(Node end, Node node) { int step = Math.abs(node.x - end.x) + Math.abs(node.y - end.y); return step * STEP; } public static void main(String[] args) { Node startNode = new Node(5, 1); Node endNode = new Node(5, 5); Node parent = new AStar().findPath(startNode, endNode); for (int i = 0; i < NODES.length; i++) { for (int j = 0; j < NODES[0].length; j++) { System.out.print(NODES[i][j] + ", "); } System.out.println(); } ArrayList<Node> arrayList = new ArrayList<Node>(); while (parent != null) { // System.out.println(parent.x + ", " + parent.y); arrayList.add(new Node(parent.x, parent.y)); parent = parent.parent; } System.out.println("\n"); for (int i = 0; i < NODES.length; i++) { for (int j = 0; j < NODES[0].length; j++) { if (exists(arrayList, i, j)) { System.out.print("@, "); } else { System.out.print(NODES[i][j] + ", "); } } System.out.println(); } } public static Node find(List<Node> nodes, Node point) { for (Node n : nodes) if ((n.x == point.x) && (n.y == point.y)) { return n; } return null; } public static boolean exists(List<Node> nodes, Node node) { for (Node n : nodes) { if ((n.x == node.x) && (n.y == node.y)) { return true; } } return false; } public static boolean exists(List<Node> nodes, int x, int y) { for (Node n : nodes) { if ((n.x == x) && (n.y == y)) { return true; } } return false; } public static class Node { public Node(int x, int y) { this.x = x; this.y = y; } public int x; public int y; public int F; public int G; public int H; public void calcF() { this.F = this.G + this.H; } public Node parent; } }
时间: 2024-11-07 19:47:47