A*算法求解8数码难题 要求Node类中有getHeuristicValue 方法 生成Java代码

好的，让我为您生成一份Java代码：

public class Node {
    private int[][] board;
    private int gValue;
    
    public Node(int[][] board, int gValue) {
        this.board = board;
        this.gValue = gValue;
    }
    
    public int getHeuristicValue() {
        int heuristicValue = 0;
        int[][] goalState = {{1, 2, 3}, {4, 5, 6}, {7, 8, 0}};
        for (int i = 0; i < 3; i++) {
            for (int j = 0; j < 3; j++) {
                if (board[i][j] != 0 && board[i][j] != goalState[i][j]) {
                    int[] correctPos = findCorrectPosition(board[i][j], goalState);
                    heuristicValue += Math.abs(i - correctPos[0]) + Math.abs(j - correctPos[1]);
                }
            }
        }
        return heuristicValue;
    }
    
    private int[] findCorrectPosition(int num, int[][] state) {
        int[] pos = new int[2];
        for (int i = 0; i < 3; i++) {
            for (int j = 0; j < 3; j++) {
                if (state[i][j] == num) {
                    pos[0] = i;
                    pos[1] = j;
                    break;
                }
            }
        }
        return pos;
    }
    
    //...
}

其中getHeuristicValue方法使用曼哈顿距离计算当前状态与目标状态之间的估价值，用于启发式搜索中A*算法的F值计算。而Node类则包含了8数码难题中的状态，以及g值用于记录从初始状态到当前状态的已经走过的步数。