下面是数组的泛型版本:

import java.util.Random;

public class Shuffle<T> {

    private final Random rnd;

    public Shuffle() {
        rnd = new Random();
    }

    /**
     * Fisher–Yates shuffle.
     */
    public void shuffle(T[] ar) {
        for (int i = ar.length - 1; i > 0; i--) {
            int index = rnd.nextInt(i + 1);
            T a = ar[index];
            ar[index] = ar[i];
            ar[i] = a;
        }
    }
}

考虑到ArrayList基本上只是一个数组，使用ArrayList而不是显式数组并使用Collections.shuffle()可能是明智的。但是，性能测试并没有显示上述方法与Collections.sort()之间有任何显著差异:

Shuffe<Integer>.shuffle(...) performance: 576084 shuffles per second
Collections.shuffle(ArrayList<Integer>) performance: 629400 shuffles per second
MathArrays.shuffle(int[]) performance: 53062 shuffles per second

Apache Commons实现MathArrays。Shuffle限制为int[]，性能损失可能是由于使用了随机数生成器。

最简单的洗牌代码:

import java.util.*;
public class ch {
    public static void main(String args[])
    {
        Scanner sc=new Scanner(System.in);
        ArrayList<Integer> l=new ArrayList<Integer>(10);
        for(int i=0;i<10;i++)
            l.add(sc.nextInt());
        Collections.shuffle(l);
        for(int j=0;j<10;j++)
            System.out.println(l.get(j));       
    }
}

使用Guava的int . aslist()就像这样简单:

Collections.shuffle(Ints.asList(array));

这是knuth shuffle算法。

public class Knuth { 

    // this class should not be instantiated
    private Knuth() { }

    /**
     * Rearranges an array of objects in uniformly random order
     * (under the assumption that <tt>Math.random()</tt> generates independent
     * and uniformly distributed numbers between 0 and 1).
     * @param a the array to be shuffled
     */
    public static void shuffle(Object[] a) {
        int n = a.length;
        for (int i = 0; i < n; i++) {
            // choose index uniformly in [i, n-1]
            int r = i + (int) (Math.random() * (n - i));
            Object swap = a[r];
            a[r] = a[i];
            a[i] = swap;
        }
    }

    /**
     * Reads in a sequence of strings from standard input, shuffles
     * them, and prints out the results.
     */
    public static void main(String[] args) {

        // read in the data
        String[] a = StdIn.readAllStrings();

        // shuffle the array
        Knuth.shuffle(a);

        // print results.
        for (int i = 0; i < a.length; i++)
            StdOut.println(a[i]);
    }
}

这是另一种洗牌的方法

public List<Integer> shuffleArray(List<Integer> a) {
    List<Integer> b = new ArrayList<Integer>();
    while (a.size() != 0) {
        int arrayIndex = (int) (Math.random() * (a.size()));
        b.add(a.get(arrayIndex));
        a.remove(a.get(arrayIndex));
    }
    return b;
}

从原始列表中选择一个随机数，并将其保存在另一个列表中。然后从原始列表中删除该数字。原始列表的大小将继续减小1，直到所有元素都移动到新列表中。

你应该使用Collections.shuffle()。但是，不能直接操作原始类型数组，因此需要创建包装器类。

试试这个。

public static void shuffle(int[] array) {
    Collections.shuffle(new AbstractList<Integer>() {
        @Override public Integer get(int index) { return array[index]; }
        @Override public int size() { return array.length; }
        @Override public Integer set(int index, Integer element) {
            int result = array[index];
            array[index] = element;
            return result;
        }
    });
}

And

int[] solutionArray = {1, 2, 3, 4, 5, 6, 6, 5, 4, 3, 2, 1};
shuffle(solutionArray);
System.out.println(Arrays.toString(solutionArray));

输出:

[3, 3, 4, 1, 6, 2, 2, 1, 5, 6, 5, 4]