常用十大算法(十)— 踏棋盤算法


常用十大算法(十)— 踏棋盤算法

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介紹

  • 馬踏棋盤算法也被稱為騎士周游問題
  • 將馬隨機放在國際象棋的8×8棋盤Board0~7]的某個方格中,馬按走棋規則(馬走日字)進行移動。要求每個方格只進入一次,走遍棋盤上全部64個方格

思路

  • 馬踏棋盤問題(騎士周游問題)實際上是圖的深度優先搜索(DFS)的應用。
  • 如果使用回溯(就是深度優先搜索)來解決,假如馬兒踏了53個點,如圖:走到了第53個,坐標(1,0),發現已經走到盡頭,沒辦法,那就只能回退了,查看其他的路徑,就在棋盤上不停的回溯…… ,

代碼實現

package com.atguigu.horse;

import java.awt.Point;
import java.util.ArrayList;
import java.util.Comparator;

public class HorseChessboard {

	private static int X; // 列
	private static int Y; // 行
	
	private static boolean visited[];
	private static boolean finished; 
	
	public static void main(String[] args) {
		X = 8;
		Y = 8;
		int row = 1; 
		int column = 1; 
		int[][] chessboard = new int[X][Y];
		visited = new boolean[X * Y];
		long start = System.currentTimeMillis();
		traversalChessboard(chessboard, row - 1, column - 1, 1);
		long end = System.currentTimeMillis();
		System.out.println("時間: " + (end - start));
		for(int[] rows : chessboard) {
			for(int step: rows) {
				System.out.print(step + "\t");
			}
			System.out.println();
		}
	}
	
	public static void traversalChessboard(int[][] chessboard, int row, int column, int step) {
		chessboard[row][column] = step;
		visited[row * X + column] = true; 
		ArrayList<Point> ps = next(new Point(column, row));
		sort(ps);
		while(!ps.isEmpty()) {
			Point p = ps.remove(0);
			if(!visited[p.y * X + p.x]) {
				traversalChessboard(chessboard, p.y, p.x, step + 1);
			}
		}
		if(step < X * Y && !finished ) {
			chessboard[row][column] = 0;
			visited[row * X + column] = false;
		} else {
			finished = true;
		}
	}
	

	public static ArrayList<Point> next(Point curPoint) {
		ArrayList<Point> ps = new ArrayList<Point>();
		Point p1 = new Point();
		if((p1.x = curPoint.x - 2) >= 0 && (p1.y = curPoint.y -1) >= 0) {
			ps.add(new Point(p1));
		}
		if((p1.x = curPoint.x - 1) >=0 && (p1.y=curPoint.y-2)>=0) {
			ps.add(new Point(p1));
		}
		if ((p1.x = curPoint.x + 1) < X && (p1.y = curPoint.y - 2) >= 0) {
			ps.add(new Point(p1));
		}
		if ((p1.x = curPoint.x + 2) < X && (p1.y = curPoint.y - 1) >= 0) {
			ps.add(new Point(p1));
		}
		if ((p1.x = curPoint.x + 2) < X && (p1.y = curPoint.y + 1) < Y) {
			ps.add(new Point(p1));
		}
		if ((p1.x = curPoint.x + 1) < X && (p1.y = curPoint.y + 2) < Y) {
			ps.add(new Point(p1));
		}
		if ((p1.x = curPoint.x - 1) >= 0 && (p1.y = curPoint.y + 2) < Y) {
			ps.add(new Point(p1));
		}
		if ((p1.x = curPoint.x - 2) >= 0 && (p1.y = curPoint.y + 1) < Y) {
			ps.add(new Point(p1));
		}
		return ps;
	}

	//排序
	public static void sort(ArrayList<Point> ps) {
		ps.sort(new Comparator<Point>() {
			@Override
			public int compare(Point o1, Point o2) {
				int count1 = next(o1).size();
				int count2 = next(o2).size();
				if(count1 < count2) {
					return -1;
				} else if (count1 == count2) {
					return 0;
				} else {
					return 1;
				}
			}
		});
	}
}

感謝

尚硅谷

以及勤勞的自己,個人博客GitHub

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