罕用十大算法(十)— 踏棋盘算法
<!– more –>
博客阐明
文章所波及的材料来自互联网整顿和集体总结,意在于集体学习和教训汇总,如有什么中央侵权,请分割自己删除,谢谢!
介绍
- 马踏棋盘算法也被称为骑士环游问题
- 将马随机放在国际象棋的 8×8 棋盘 Board0~7]的某个方格中,马按走棋规定 (马走日字) 进行挪动。要求每个方格只进入一次,走遍棋盘上全副 64 个方格
思路
- 马踏棋盘问题 (骑士环游问题) 实际上是图的深度优先搜寻 (DFS) 的利用。
- 如果应用回溯(就是深度优先搜寻)来解决,如果马儿踏了 53 个点,如图:走到了第 53 个,坐标(1,0),发现曾经走到止境,没方法,那就只能回退了,查看其余的门路,就在棋盘上不停的回溯……,
代码实现
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("工夫:" + (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;}
}
});
}
}
感激
尚硅谷
以及勤奋的本人,集体博客,GitHub