iis服务器助手广告广告
返回顶部
首页 > 资讯 > 后端开发 > Python >Java分别利用深度优先和广度优先求解迷宫路径
  • 906
分享到

Java分别利用深度优先和广度优先求解迷宫路径

2024-04-02 19:04:59 906人浏览 薄情痞子

Python 官方文档:入门教程 => 点击学习

摘要

目录深度优先实现效果示例代码广度优先实现效果示例代码知识点总结深度优先 实现效果 示例代码 import java.awt.*; import javax.swing.*; p

深度优先

实现效果

示例代码

import java.awt.*;
import javax.swing.*;
 
public class AlGoFrame extends JFrame{
 
    private int canvasWidth;
    private int canvasHeight;
 
    public AlgoFrame(String title, int canvasWidth, int canvasHeight){
 
        super(title);
 
        this.canvasWidth = canvasWidth;
        this.canvasHeight = canvasHeight;
 
        AlgoCanvas canvas = new AlgoCanvas();
        setContentPane(canvas);
        pack();
 
        setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        setResizable(false);
 
        setVisible(true);
    }
 
    public AlgoFrame(String title){
 
        this(title, 1024, 768);
    }
 
    public int getCanvasWidth(){return canvasWidth;}
    public int getCanvasHeight(){return canvasHeight;}
 
    // data
    private MazeData data;
    public void render(MazeData data){
        this.data = data;
        repaint();
    }
 
    private class AlgoCanvas extends JPanel{
 
        public AlgoCanvas(){
            // 双缓存
            super(true);
        }
 
        @Override
        public void paintComponent(Graphics g) {
            super.paintComponent(g);
 
            Graphics2D g2d = (Graphics2D)g;
 
            // 抗锯齿
//            RenderingHints hints = new RenderingHints(
//                    RenderingHints.KEY_ANTIALIASING,
//                    RenderingHints.VALUE_ANTIALIAS_ON);
//            hints.put(RenderingHints.KEY_RENDERING, RenderingHints.VALUE_RENDER_QUALITY);
//            g2d.addRenderingHints(hints);
 
            // 具体绘制
            int w = canvasWidth/data.M();
            int h = canvasHeight/data.N();
            
 
 
            for(int i = 0 ; i < data.N() ; i ++ )
            {
                for(int j = 0 ; j < data.M() ; j ++){
                    if (data.getMaze(i, j) == MazeData.WALL)
                        AlgoVisHelper.setColor(g2d, AlgoVisHelper.LightBlue);
                    else
                        AlgoVisHelper.setColor(g2d, AlgoVisHelper.White);
                    
                    if(data.path[i][j])
                    	AlgoVisHelper.setColor(g2d, AlgoVisHelper.Orange);
                    
                    if(data.result[i][j])
                    	AlgoVisHelper.setColor(g2d, AlgoVisHelper.Red);
                    
                    AlgoVisHelper.fillRectangle(g2d, j * w, i * h, w, h);
                }
            }
                      
            
        }
 
        @Override
        public Dimension getPreferredSize(){
            return new Dimension(canvasWidth, canvasHeight);
        }
    }
}
 
 
 
 
 
 
 
import java.awt.*;
import java.awt.geom.Ellipse2D;
 
import java.awt.geom.Rectangle2D;
import java.lang.InterruptedException;
 
 
public class AlgoVisHelper {
 
    private AlgoVisHelper(){}
 
    public static final Color Red = new Color(0xF44336);
    public static final Color Pink = new Color(0xE91E63);
    public static final Color Purple = new Color(0x9C27B0);
    public static final Color DeepPurple = new Color(0x673AB7);
    public static final Color Indigo = new Color(0x3F51B5);
    public static final Color Blue = new Color(0x2196F3);
    public static final Color LightBlue = new Color(0x03A9F4);
    public static final Color Cyan = new Color(0x00BCD4);
    public static final Color Teal = new Color(0x009688);
    public static final Color Green = new Color(0x4CAF50);
    public static final Color LightGreen = new Color(0x8BC34A);
    public static final Color Lime = new Color(0xCDDC39);
    public static final Color Yellow = new Color(0xFFEB3B);
    public static final Color Amber = new Color(0xFFC107);
    public static final Color Orange = new Color(0xFF9800);
    public static final Color DeepOrange = new Color(0xFF5722);
    public static final Color Brown = new Color(0x795548);
    public static final Color Grey = new Color(0x9E9E9E);
    public static final Color BlueGrey = new Color(0x607D8B);
    public static final Color Black = new Color(0x000000);
    public static final Color White = new Color(0xFFFFFF);
 
 
    public static void strokeCircle(Graphics2D g, int x, int y, int r){
 
        Ellipse2D circle = new Ellipse2D.Double(x-r, y-r, 2*r, 2*r);
        g.draw(circle);
    }
 
    public static void fillCircle(Graphics2D g, int x, int y, int r){
 
        Ellipse2D circle = new Ellipse2D.Double(x-r, y-r, 2*r, 2*r);
        g.fill(circle);
    }
 
    public static void strokeRectangle(Graphics2D g, int x, int y, int w, int h){
 
        Rectangle2D rectangle = new Rectangle2D.Double(x, y, w, h);
        g.draw(rectangle);
    }
 
    public static void fillRectangle(Graphics2D g, int x, int y, int w, int h){
 
        Rectangle2D rectangle = new Rectangle2D.Double(x, y, w, h);
        g.fill(rectangle);
    }
 
    public static void setColor(Graphics2D g, Color color){
        g.setColor(color);
    }
 
    public static void setStrokeWidth(Graphics2D g, int w){
        int strokeWidth = w;
        g.setStroke(new BasicStroke(strokeWidth, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND));
    }
 
    public static void pause(int t) {
        try {
            Thread.sleep(t);
//            System.out.println("Dely");
        }
        catch (InterruptedException e) {
            System.out.println("Error sleeping");
        }
    }
 
}
 
 
 
 
 
 
 
 
 
 
import java.awt.*;
import java.util.Stack;
 
 
public class AlgoVisualizer {
 
    private static int DELAY = 10;
    private static int blockSide = 8;
 
    private MazeData data;
    private AlgoFrame frame;
    
    private static final int d[][] = {{-1,0}, {0, 1}, {1, 0}, {0, -1}};  //左下右上
 
    public AlgoVisualizer(String mazeFile){
 
        // 初始化数据
        data = new MazeData(mazeFile);
        int sceneHeight = data.N() * blockSide;
        int sceneWidth = data.M() * blockSide;
 
        // 初始化视图
        EventQueue.invokeLater(() -> {
            frame = new AlgoFrame("Maze Solver Visualization", sceneWidth, sceneHeight);
 
            new Thread(() -> {
                run();
            }).start();
        });
    }
 
    public void run(){
 
        setData(-1, -1, false);
        
        Stack<Position> stack = new Stack<Position>();
        Position entrance = new Position(data.getEntranceX(), data.getEntranceY());
        stack.push(entrance);
        data.visited[entrance.getX()][entrance.getY()] = true;
        
        boolean isSolved = false;
        while (!stack.empty()) {
        	Position curPos = stack.pop();
        	setData(curPos.getX(), curPos.getY(), true);
        	
        	if (curPos.getX() == data.getExitX() && curPos.getY() == data.getExitY()) {
        		isSolved = true;
        		findPath(curPos);  //find the path from the final position
        		break;
        	}
        	
        	for (int i = 0; i < 4; i++) {
        		int newX = curPos.getX() + d[i][0];
        		int newY = curPos.getY() + d[i][1];
				
        		if (data.inArea(newX, newY) && !data.visited[newX][newY] && 
        				data.getMaze(newX, newY) == MazeData.ROAD) {
        			stack.push(new Position(newX, newY, curPos));
        			data.visited[newX][newY] = true;
				}
			}
        	
		}
        
        if (!isSolved) {
			System.out.println("the maze has no solution");
		}
        setData(-1, -1, false);
    }
    
    public void findPath(Position des) {
    	Position cur = des;
    	while (cur != null) {
    		data.result[cur.getX()][cur.getY()] = true;
			cur = cur.getPrev();
		}
		
	}
    
    private void setData(int x, int y, boolean isPath){
    	if (data.inArea(x, y)) {
    		data.path[x][y] = isPath;
		}
 
        frame.render(data);
        AlgoVisHelper.pause(DELAY);
    }
 
    public static void main(String[] args) {
 
        String mazeFile = "maze_101_101.txt";
 
        AlgoVisualizer vis = new AlgoVisualizer(mazeFile);
 
    }
}
 
 
 
 
 
 
 
 
import java.io.BufferedInputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.util.Scanner;
 
 
public class MazeData {
 
    public static final char ROAD = ' ';
    public static final char WALL = '#';
 
    private int N, M;
    private char[][] maze;
    
    private int entranceX, entranceY;
    private int exitX, exitY;
    
    public boolean[][] visited;  
    public boolean[][] path;
    public boolean[][] result;
    
 
    
 
 
     public MazeData(String filename){
 
        if(filename == null)
            throw new IllegalArgumentException("Filename can not be null!");
 
        Scanner scanner = null;
        try{
            File file = new File(filename);
            if(!file.exists())
                throw new IllegalArgumentException("File " + filename + " doesn't exist");
 
            FileInputStream fis = new FileInputStream(file);
            scanner = new Scanner(new BufferedInputStream(fis), "UTF-8");
 
            // 读取第一行
            String nmline = scanner.nextLine();
            String[] nm = nmline.trim().split("\\s+");
            //System.out.print(nm[0] + ' ' + nm[1]);
 
            N = Integer.parseInt(nm[0]);
            // System.out.println("N = " + N);
            M = Integer.parseInt(nm[1]);
            // System.out.println("M = " + M);
 
            // 读取后续的N行
            maze = new char[N][M];
            visited = new boolean[N][M];
            path = new boolean[N][M];
            result = new boolean[N][M];
            
 
            
            
            for(int i = 0 ; i < N ; i ++){
                String line = scanner.nextLine();
 
                // 每行保证有M个字符
                if(line.length() != M)
                    throw new IllegalArgumentException("Maze file " + filename + " is invalid");
                for(int j = 0 ; j < M ; j ++)
                {
                    maze[i][j] = line.charAt(j);
                    visited[i][j] = false;
                    path[i][j] = false;
                    result[i][j] = false;
                    
                }
            }
        }
        catch(IOException e){
            e.printStackTrace();
        }
        finally {
            if(scanner != null)
                scanner.close();
        }
        
        entranceX = 1;
        entranceY = 0;
        exitX = N - 2 ;
        exitY = M - 1;       
    }
 
    public int N(){ return N; }
    public int M(){ return M; }
    public int  getEntranceX() {return entranceX;}
    public int  getEntranceY() {return entranceY;}
    public int getExitX() { return exitX;}
    public int getExitY() { return exitY;}
    
    
    
    public char getMaze(int i, int j){
        if(!inArea(i,j))
            throw new IllegalArgumentException("i or j is out of index in getMaze!");
 
        return maze[i][j];
    }
 
    public boolean inArea(int x, int y){
        return x >= 0 && x < N && y >= 0 && y < M;
    }
 
    public void print(){
        System.out.println(N + " " + M);
        for(int i = 0 ; i < N ; i ++){
            for(int j = 0 ; j < M ; j ++)
                System.out.print(maze[i][j]);
            System.out.println();
        }
        return;
    }
 
}
 
 
 
 
 
 
public class Position {
	
	private int x, y;
	private Position prev;
	
	public Position(int x, int y, Position prev ) {
		// TODO Auto-generated constructor stub
		this.x = x;
		this.y = y;
		this.prev = prev;
	}
	
	public Position(int x, int y) {
		// TODO Auto-generated constructor stub
		this(x, y, null);
	}
 
	
	public int getX() { return x;}
	public int getY() { return y;}
	public Position getPrev() {return prev;}
 
}

上面是深度优先的非递归遍历方法

下面是广度优先的遍历方法

广度优先

实现效果

示例代码

import java.awt.*;
import java.util.LinkedList;
import java.util.Stack;
 
 
public class AlgoVisualizer {
 
    private static int DELAY = 10;
    private static int blockSide = 8;
 
    private MazeData data;
    private AlgoFrame frame;
    
    private static final int d[][] = {{-1,0}, {0, 1}, {1, 0}, {0, -1}};  //左下右上
 
    public AlgoVisualizer(String mazeFile){
 
        // 初始化数据
        data = new MazeData(mazeFile);
        int sceneHeight = data.N() * blockSide;
        int sceneWidth = data.M() * blockSide;
 
        // 初始化视图
        EventQueue.invokeLater(() -> {
            frame = new AlgoFrame("Maze Solver Visualization", sceneWidth, sceneHeight);
 
            new Thread(() -> {
                run();
            }).start();
        });
    }
 
    public void run(){
 
        setData(-1, -1, false);
        
        LinkedList<Position> queue = new LinkedList<Position>();
        Position entrance = new Position(data.getEntranceX(), data.getEntranceY());
        queue.addLast(entrance);
        data.visited[entrance.getX()][entrance.getY()] = true;
        
        boolean isSolved = false;
        while ( queue.size() != 0) {
        	Position curPos = queue.pop();
        	setData(curPos.getX(), curPos.getY(), true);
        	
        	if (curPos.getX() == data.getExitX() && curPos.getY() == data.getExitY()) {
        		isSolved = true;
        		findPath(curPos);  //find the path from the final position
        		break;
        	}
        	
        	for (int i = 0; i < 4; i++) {
        		int newX = curPos.getX() + d[i][0];
        		int newY = curPos.getY() + d[i][1];
				
        		if (data.inArea(newX, newY) && !data.visited[newX][newY] && 
        				data.getMaze(newX, newY) == MazeData.ROAD) {
        			queue.addLast(new Position(newX, newY, curPos));        			
        			data.visited[newX][newY] = true;
				}
			}
        	
		}
        
        if (!isSolved) {
			System.out.println("the maze has no solution");
		}
        setData(-1, -1, false);
    }
    
    public void findPath(Position des) {
    	Position cur = des;
    	while (cur != null) {
    		data.result[cur.getX()][cur.getY()] = true;
			cur = cur.getPrev();
		}
		
	}
    
    private void setData(int x, int y, boolean isPath){
    	if (data.inArea(x, y)) {
    		data.path[x][y] = isPath;
		}
 
        frame.render(data);
        AlgoVisHelper.pause(DELAY);
    }
 
    public static void main(String[] args) {
 
        String mazeFile = "maze_101_101.txt";
 
        AlgoVisualizer vis = new AlgoVisualizer(mazeFile);
 
    }
}

知识点总结

q为抽象的队列

以上就是Java分别利用深度优先和广度优先求解迷宫路径的详细内容,更多关于Java求解迷宫路径的资料请关注编程网其它相关文章!

--结束END--

本文标题: Java分别利用深度优先和广度优先求解迷宫路径

本文链接: https://www.lsjlt.com/news/166248.html(转载时请注明来源链接)

有问题或投稿请发送至: 邮箱/279061341@qq.com    QQ/279061341

本篇文章演示代码以及资料文档资料下载

下载Word文档到电脑,方便收藏和打印~

下载Word文档
猜你喜欢
  • Java分别利用深度优先和广度优先求解迷宫路径
    目录深度优先实现效果示例代码广度优先实现效果示例代码知识点总结深度优先 实现效果 示例代码 import java.awt.*; import javax.swing.*; p...
    99+
    2024-04-02
  • 详解Java利用深度优先遍历解决迷宫问题
    目录什么是深度优先一个简单的例子程序实现什么是深度优先 什么是深度,即向下,深度优先,即向下优先,一口气走到底,走到底发现没路再往回走。 在算法实现上来讲,深度优先可以考虑是递归的代...
    99+
    2024-04-02
  • Java中深度优先与广度优先的示例分析
    这篇文章给大家分享的是有关Java中深度优先与广度优先的示例分析的内容。小编觉得挺实用的,因此分享给大家做个参考,一起跟随小编过来看看吧。Java可以用来干什么Java主要应用于:1. web开发;2. Android开发;3. 客户端开发...
    99+
    2023-05-30
    java
  • 怎么用Java深度优先遍历解决迷宫问题
    本文小编为大家详细介绍“怎么用Java深度优先遍历解决迷宫问题”,内容详细,步骤清晰,细节处理妥当,希望这篇“怎么用Java深度优先遍历解决迷宫问题”文章能帮助大家解决疑惑,下面跟着小编的思路慢慢深入,一起来学习新知识吧。什么是深度优先什么...
    99+
    2023-06-29
  • 详解Go语言运用广度优先搜索走迷宫
    目录一、理解广度优先算法1.1、分析如何进行广度优先探索1.2、我们来总结一下1.3、代码分析二、代码实现广度优先算法走迷宫一、理解广度优先算法 我们要实现的是广度优先算法走迷宫 比...
    99+
    2024-04-02
  • Java遍历树深度优先和广度优先的方法是什么
    这篇文章主要介绍了Java遍历树深度优先和广度优先的方法是什么的相关知识,内容详细易懂,操作简单快捷,具有一定借鉴价值,相信大家阅读完这篇Java遍历树深度优先和广度优先的方法是什么文章都会有所收获,下面我们一起来看看吧。在编程生活中,我们...
    99+
    2023-07-05
  • Python实现图的广度和深度优先路径搜索算法
    目录前言1. 图理论1.1 图的概念1.2 定义图1.3 图的抽象数据结构2. 图的存储实现2.1 邻接矩阵2.2 编码实现邻接矩阵3. 搜索路径3.1 广度优先搜索3.2 深度优先...
    99+
    2024-04-02
  • Java实现深度优先搜索(DFS)和广度优先搜索(BFS)算法
    目录一.深度优先遍历和广度优先遍历1.深度优先遍历2.广度优先遍历二.图像渲染1.题目描述2.问题分析3代码实现1.广度优先遍历2.深度优先遍历三.岛屿的最大面积1.题目描述2.问题...
    99+
    2023-05-18
    Java深度优先和广度优先 Java深度优先 Java广度优先
  • JavaScript中深度优先遍历和广度优先遍历算法的示例分析
    这篇文章主要为大家展示了“JavaScript中深度优先遍历和广度优先遍历算法的示例分析”,内容简而易懂,条理清晰,希望能够帮助大家解决疑惑,下面让小编带领大家一起研究并学习一下“JavaScript中深度...
    99+
    2024-04-02
  • 简单谈谈Java遍历树深度优先和广度优先的操作方式
    目录1、深度优先2、广度优先在编程生活中,我们总会遇见树性结构,这几天刚好需要对树形结构操作,就记录下自己的操作方式以及过程。现在假设有一颗这样树,(是不是二叉树都没关系,原理都是一...
    99+
    2023-03-24
    java遍历树形数据 java如何遍历树 Java遍历树形结构
  • Python怎么实现图的广度和深度优先路径搜索算法
    本篇内容主要讲解“Python怎么实现图的广度和深度优先路径搜索算法”,感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷,实用性强。下面就让小编来带大家学习“Python怎么实现图的广度和深度优先路径搜索算法”吧!前言图是一种抽象数据结构...
    99+
    2023-06-30
  • Java如何实现基于图的深度优先搜索和广度优先搜索
    这篇文章将为大家详细讲解有关Java如何实现基于图的深度优先搜索和广度优先搜索,小编觉得挺实用的,因此分享给大家做个参考,希望大家阅读完这篇文章后可以有所收获。1.新建一个表示“无向图”类NoDirectionGraphpackage&nb...
    99+
    2023-05-30
    java
  • 怎么理解Java优先遍历和广度优先遍历算法
    这篇文章主要讲解了“怎么理解Java优先遍历和广度优先遍历算法”,文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习“怎么理解Java优先遍历和广度优先遍历算法”吧!深度优先遍历主要思路是从图中一个未...
    99+
    2023-06-16
  • Java利用广度优先搜索实现抓牛问题
    目录一、原问题链接二、输入和输出三、输入和输出样例四、代码五、测试一、原问题链接 http://poj.org/problemid=3278 二、输入和输出 1.输入 两个数,第1...
    99+
    2024-04-02
  • Java怎么利用广度优先搜索实现抓牛问题
    本篇内容介绍了“Java怎么利用广度优先搜索实现抓牛问题”的有关知识,在实际案例的操作过程中,不少人都会遇到这样的困境,接下来就让小编带领大家学习一下如何处理这些情况吧!希望大家仔细阅读,能够学有所成!一、原问题二、输入和输出输入两个数,第...
    99+
    2023-07-02
  • 广度优先遍历与最短路径(Java 实例代码源码包下载)
    目录   广度优先遍历与最短路径 Java 实例代码 src/runoob/graph/ShortestPath.java 文件代码:   广度优先遍历与最短路径 广度优先遍历从某个顶点 v 出发,首先访问这个结点,并将其标记为已访问过,...
    99+
    2023-09-01
    python 算法 开发语言
  • 华为OD机试 - 等和子数组最小和 - 深度优先搜索(Java 2022 Q4 100分)
    目录 专栏导读 一、题目描述 二、输入描述 三、输出描述 四、解题思路 五、Java算法源码 六、效果展示 ...
    99+
    2023-09-11
    华为od 深度优先 算法 七日集训 学习方法
软考高级职称资格查询
编程网,编程工程师的家园,是目前国内优秀的开源技术社区之一,形成了由开源软件库、代码分享、资讯、协作翻译、讨论区和博客等几大频道内容,为IT开发者提供了一个发现、使用、并交流开源技术的平台。
  • 官方手机版

  • 微信公众号

  • 商务合作