Coursera Algorithms Programming Assignment 4: 8 Puzzle （100分）

题目原文：http://coursera.cs.princeton.edu/algs4/assignments/8puzzle.html

题目要求：设计一个程序解决8 puzzle问题以及该问题的推广，例如8-puzzle是3*3，程序要能解决n*n的同类问题（2 ≤ n < 128）

典型的8 puzzle如下：

算法设计参照A*搜索算法，即使不了解A*搜索算法，题目也已经将解法解释的很具体了。

Best-first search：设计参照A* 搜索算法。定义一个 search node类，包含board，从初始状态到达当前board状态的移动权重moves，和previous search node。

插入初始的search node，其board设为初始board，moves设为0，previous search node设置为0
将初始化的search node置于MinPQ类型的优先级队列中
删除优先级队列中的min节点，再将该节点的邻居节点放入优先级队列中。
重复2和3操作直至从优先级队列中删除的min节点是目标board

A* 搜索算法的优先级判定依据是f(n) = g(n) + h(n)，g(n)是从初始节点到达当前节点的代价，h(n)是当前节点到目标节点的预估代价。

在本题中search node中的moves就是g(n)，而关于h(n)题目给出了两种候选：

Hamming priority function: 处于错误位置的block的个数（空白处不算block）

Manhatten priority function: 处于错误位置的block距离其各自目标位置的横向和纵向距离之和

h(n)采用这两者均可，根据题目中的图示，显然发现题目推荐采用manhatten方法。

至此优先级队列中的优先级判断依据就是当前search node的moves+manhatten value

A critical optimization: 上述Best-first search中可能会存在刚出队列的节点又被当成其邻居节点的邻居而被放回优先级队列的情况，这种情况会造成很大的性能损失。为了阻止这种情况的发生，可以在Best-first search的第3步“将该节点的邻居节点放入优先级队列”时比较下这个邻居节点的board是否与本节点的board相同。

例如此时{{8，1，3}，{4，0，2}，{7，6，5}}就不应该放入优先级队列中。

A second optimization: 建议在search node的构造函数中计算其manhattan值，也就是在search node的构造函数中确定其优先级。

Detecting unsolvable puzzles：如果一个board是不可解的，那么随便在该board中选择一对block互换位置，就能将其变为可解的。为此采用同时对board和其互换了一对block的twindboard进行求解，如果board先实现目标解，那么其就是可解的，相反，如果twinboard先实现目标节，那么该board就不可解。

 import java.util.ArrayList;

 /**

  * @author evasean www.cnblogs.com/evasean/

  */

 public class Board {

     private static final int BLANK = 0;

     private final int n;

     private int[][] blocks;

     public Board(int[][] inBlocks) {

         // construct a board from an n-by-n array of blocks

         // (where blocks[i][j] = block in row i, column j)

         n = inBlocks.length;

         blocks = new int[n][n];

         copy(blocks, inBlocks);

     }

     private void copy(int[][] toBlocks, int[][] fromBlocks) {

         for (int row = 0; row < n; row++)

             for (int col = 0; col < n; col++)

                 toBlocks[row][col] = fromBlocks[row][col];

     }

     public int dimension() {

         // board dimension n

         return n;

     }

     private int getRow(int value) {

         return (value - 1) / n;

     }

     private int getCol(int value) {

         return (value - 1) % n;

     }

     private int getValue(int row, int col) {

         return row * n + col + 1;

     }

     public int hamming() {

         // number of blocks out of place

         int hamming = 0;

         for (int row = 0; row < n; row++)

             for (int col = 0; col < n; col++)

                 if (blocks[row][col] != BLANK && blocks[row][col] != getValue(row, col))

                     hamming++;

         return hamming;

     }

     public int manhattan() {

         // sum of Manhattan distances between blocks and goal

         int manhattan = 0;

         for (int row = 0; row < n; row++)

             for (int col = 0; col < n; col++)

                 if (blocks[row][col] != BLANK && blocks[row][col] != getValue(row, col))

                     manhattan += Math.abs(getRow(blocks[row][col]) - row) + Math.abs(getCol(blocks[row][col]) - col);

         return manhattan;

     }

     public boolean isGoal() {

         // is this board the goal board?

         for (int row = 0; row < n; row++)

             for (int col = 0; col < n; col++)

                 if (blocks[row][col] != BLANK && blocks[row][col] != getValue(row, col))

                     return false;

         return true;

     }

     public Board twin() {

         // a board that is obtained by exchanging any pair of blocks

         Board twinBoard = new Board(blocks);

         int firRow = 0;

         int firCol = 0;

         if (blocks[firRow][firCol] == BLANK)

             firCol++;

         for (int row = 0; row < n; row++) {

             for (int col = 0; col < n; col++) {

                 if (blocks[row][col] != blocks[firRow][firCol] && blocks[row][col] != BLANK) {

                     twinBoard.swap(firRow, firCol, row, col);

                     return twinBoard;

                 }

             }

         }

         return twinBoard;

     }

     private void swap(int vRow, int vCol, int wRow, int wCol) {

         int t = blocks[vRow][vCol];

         blocks[vRow][vCol] = blocks[wRow][wCol];

         blocks[wRow][wCol] = t;

     }

     public boolean equals(Object y) {

         // does this board equal y?

         if (y == null)

             return false;

         if (y == this)

             return true;

         if (y.getClass().isInstance(this)) {

             Board yb = (Board) y;

             if (yb.n != this.n)

                 return false;

             else {

                 for (int row = 0; row < n; row++)

                     for (int col = 0; col < n; col++)

                         if (yb.blocks[row][col] != blocks[row][col])

                             return false;

                 return true;

             }

         } else

             return false;

     }

     public Iterable<Board> neighbors() {

         // all neighboring boards

         ArrayList<Board> neighbors = new ArrayList<Board>();

         for (int row = 0; row < n; row++) {

             for (int col = 0; col < n; col++) {

                 if (blocks[row][col] == BLANK) {

                     // 空白的位置分别与上下左右的元素交换一次位置就得到一个邻居board

                     // 与上方元素互换

                     if (row > 0) {

                         Board neighborT = new Board(blocks);

                         neighborT.swap(row, col, row - 1, col);

                         neighbors.add(neighborT);

                     }

                     // 与下方元素互换

                     if (row < n - 1) {

                         Board neighborB = new Board(blocks);

                         neighborB.swap(row, col, row + 1, col);

                         neighbors.add(neighborB);

                     }

                     // 与左边元素互换

                     if (col > 0) {

                         Board neighborL = new Board(blocks);

                         neighborL.swap(row, col, row, col - 1);

                         neighbors.add(neighborL);

                     }

                     // 与右边元素互换

                     if (col < n - 1) {

                         Board neighborR = new Board(blocks);

                         neighborR.swap(row, col, row, col + 1);

                         neighbors.add(neighborR);

                     }

                 }

             }

         }

         return neighbors;

     }

     public String toString() {

         // string representation of this board (in the output format specified

         // below)

         StringBuilder sb = new StringBuilder();

         sb.append(n + "\n");

         for (int row = 0; row < n; row++) {

             for (int col = 0; col < n; col++) {

                 //本来考虑到n<128时元素可能会很大，设置的是%6d，但是提交时不满足校验规则

                 //校验规则要求必须是%2d，很奇怪的校验

                 sb.append(String.format("%2d ", blocks[row][col]));

             }

             sb.append("\n");

         }

         return sb.toString();

     }

     public static void main(String[] args) {

 //         unit tests (not graded)

 //         int[][] test = { { 0, 1}, {2,3 }};

 //         Board b = new Board(test);

 //         System.out.println(b);

 //         System.out.println(b.hamming());

 //         System.out.println(b.manhattan());

     }

 }

 import edu.princeton.cs.algs4.In;

 import edu.princeton.cs.algs4.MinPQ;

 import edu.princeton.cs.algs4.Stack;

 import edu.princeton.cs.algs4.StdOut;

 /**

  * @author evasean www.cnblogs.com/evasean/

  */

 public class Solver {

     private SearchNode currentNode;

     private SearchNode twincurrentNode;

     private Stack<Board> solution;

     private class SearchNode implements Comparable<SearchNode>{

         public Board board;

         public int moves;

         public SearchNode preSearchNode;

         public final int priority;

         public SearchNode(Board inboard, SearchNode inPreSearchNode){

             board = inboard;

             preSearchNode = inPreSearchNode;

             if(inPreSearchNode == null) moves = 0;

             else moves = inPreSearchNode.moves + 1;

             priority = moves + board.manhattan();

         }

         @Override

         public int compareTo(SearchNode o) {

             return Integer.compare(this.priority, o.priority);

         }

     }

     public Solver(Board initial) {

         // find a solution to the initial board (using the A* algorithm)

         if(initial == null)

             throw new IllegalArgumentException("Constructor argument Board is null!");

         currentNode = new SearchNode(initial,null);

         twincurrentNode = new SearchNode(initial.twin(),null);

         MinPQ<SearchNode> priorityQueue = new MinPQ<SearchNode>();

         MinPQ<SearchNode> twinPriorityQueue = new MinPQ<SearchNode>();

         priorityQueue.insert(currentNode);

         twinPriorityQueue.insert(twincurrentNode);

         while(true){

             currentNode = priorityQueue.delMin();

             if(currentNode.board.isGoal()) break;

             putNeighBorsIntoPQ(currentNode,priorityQueue);

             twincurrentNode = twinPriorityQueue.delMin();

             if(twincurrentNode.board.isGoal()) break;

             putNeighBorsIntoPQ(twincurrentNode,twinPriorityQueue);

         }

     }

     private void putNeighBorsIntoPQ(SearchNode searchNode, MinPQ<SearchNode> pq){

         Iterable<Board> neighbors = searchNode.board.neighbors();

         for(Board neighbor : neighbors){

             //只有在当前搜索节点的邻居们的borad不与当前节点的preSearchNode的borad相同

             //才将该邻居放入优先队列

             if(searchNode.preSearchNode==null || !neighbor.equals(searchNode.preSearchNode.board))

                 pq.insert(new SearchNode(neighbor,searchNode));

         }

     }

     public boolean isSolvable() {

         // is the initial board solvable?

         return currentNode.board.isGoal();

     }

     public int moves() {

         // min number of moves to solve initial board; -1 if unsolvable

         if(currentNode.board.isGoal())

             return currentNode.moves;

         else

             return -1;

     }

     public Iterable<Board> solution() {

         // sequence of boards in a shortest solution; null if unsolvable

         if(currentNode.board.isGoal()){

             solution = new Stack<Board>();

             SearchNode node = currentNode;

             while(node != null){

                 solution.push(node.board);

                 node = node.preSearchNode;

             }

             return solution;

         }else

             return null;

     }

     public static void main(String[] args) {

         // solve a slider puzzle (given below)

         // create initial board from file

 //        In in = new In(args[0]);

         In in = new In("8puzzle/puzzle3x3-unsolvable.txt"); //本地测试之用

         int n = in.readInt();

         int[][] blocks = new int[n][n];

         for (int i = 0; i < n; i++)

             for (int j = 0; j < n; j++)

                 blocks[i][j] = in.readInt();

         Board initial = new Board(blocks);

         // solve the puzzle

         Solver solver = new Solver(initial);

         // print solution to standard output

         if (!solver.isSolvable())

             StdOut.println("No solution possible");

         else {

             StdOut.println("Minimum number of moves = " + solver.moves());

             for (Board board : solver.solution())

                 StdOut.println(board);

         }

     }

 }

巴特西

Coursera Algorithms Programming Assignment 4: 8 Puzzle （100分）

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