使用Set操作建模“依赖于其他选择的选择”更容易理解相关排列 使用依赖排列，可用的选择减少，因为位置被从左到右的选定字符填充。递归调用的终端条件是测试可用选择集是否为空。当满足终端条件时，置换完成，并存储到“结果”列表中。

public static List<String> stringPermutation(String s) {
    List<String> results = new ArrayList<>();
    Set<Character> charSet = s.chars().mapToObj(m -> (char) m).collect(Collectors.toSet());
    stringPermutation(charSet, "", results);
    return results;
}

private static void stringPermutation(Set<Character> charSet, 
        String prefix, List<String> results) {
    if (charSet.isEmpty()) {
        results.add(prefix);
        return;
    }
    for (Character c : charSet) {
        Set<Character> newSet = new HashSet<>(charSet);
        newSet.remove(c);
        stringPermutation(newSet, prefix + c, results);
    }
} 

该代码可以泛化为一组对象查找排列。在本例中，我使用了一组颜色。

public enum Color{
    ORANGE,RED,BULE,GREEN,YELLOW;
}

public static List<List<Color>> colorPermutation(Set<Color> colors) {
    List<List<Color>> results = new ArrayList<>();
    List<Color> prefix = new ArrayList<>();
    permutation(colors, prefix, results);
    return results;
}

private static <T> void permutation(Set<T> set, List<T> prefix, List<List<T>> results) {
    if (set.isEmpty()) {
        results.add(prefix);
        return;
    }
    for (T t : set) {
        Set<T> newSet = new HashSet<>(set);
        List<T> newPrefix = new ArrayList<>(prefix);
        newSet.remove(t);
        newPrefix.add(t);
        permutation(newSet, newPrefix, results);
    }
} 

测试代码。

public static void main(String[] args) {
    List<String> stringPerm = stringPermutation("abcde");
    System.out.println("# of permutations:" + stringPerm.size());
    stringPerm.stream().forEach(e -> System.out.println(e));

    Set<Color> colorSet = Arrays.stream(Color.values()).collect(Collectors.toSet());
    List<List<Color>> colorPerm = colorPermutation(colorSet);
    System.out.println("# of permutations:" + colorPerm.size());
    colorPerm.stream().forEach(e -> System.out.println(e));
}

import java.io.IOException;
import java.util.ArrayList;
import java.util.Scanner;
public class hello {
    public static void main(String[] args) throws IOException {
        hello h = new hello();
        h.printcomp();
    }
      int fact=1;
    public void factrec(int a,int k){
        if(a>=k)
        {fact=fact*k;
        k++;
        factrec(a,k);
        }
        else
        {System.out.println("The string  will have "+fact+" permutations");
        }
        }
    public void printcomp(){
        String str;
        int k;
        Scanner in = new Scanner(System.in);
        System.out.println("enter the string whose permutations has to b found");
        str=in.next();
        k=str.length();
        factrec(k,1);
        String[] arr =new String[fact];
        char[] array = str.toCharArray();
        while(p<fact)
        printcomprec(k,array,arr);
            // if incase u need array containing all the permutation use this
            //for(int d=0;d<fact;d++)         
        //System.out.println(arr[d]);
    }
    int y=1;
    int p = 0;
    int g=1;
    int z = 0;
    public void printcomprec(int k,char array[],String arr[]){
        for (int l = 0; l < k; l++) {
            for (int b=0;b<k-1;b++){
            for (int i=1; i<k-g; i++) {
                char temp;
                String stri = "";
                temp = array[i];
                array[i] = array[i + g];
                array[i + g] = temp;
                for (int j = 0; j < k; j++)
                    stri += array[j];
                arr[z] = stri;
                System.out.println(arr[z] + "   " + p++);
                z++;
            }
            }
            char temp;
            temp=array[0];
            array[0]=array[y];
            array[y]=temp;
            if (y >= k-1)
                y=y-(k-1);
            else
                y++;
        }
        if (g >= k-1)
            g=1;
        else
            g++;
    }

}

下面是两个c#版本(仅供参考): 1. 打印所有排列 2. 返回所有排列

算法的基本要点是(可能下面的代码更直观-尽管如此，下面的代码是做什么的一些解释): -从当前索引到集合的其余部分，交换当前索引处的元素 -递归地获得下一个索引中剩余元素的排列 -恢复秩序，通过重新交换

注意:上述递归函数将从起始索引中调用。

private void PrintAllPermutations(int[] a, int index, ref int count)
        {
            if (index == (a.Length - 1))
            {
                count++;
                var s = string.Format("{0}: {1}", count, string.Join(",", a));
                Debug.WriteLine(s);
            }
            for (int i = index; i < a.Length; i++)
            {
                Utilities.swap(ref a[i], ref a[index]);
                this.PrintAllPermutations(a, index + 1, ref count);
                Utilities.swap(ref a[i], ref a[index]);
            }
        }
        private int PrintAllPermutations(int[] a)
        {
            a.ThrowIfNull("a");
            int count = 0;
            this.PrintAllPermutations(a, index:0, count: ref count);
            return count;
        }

版本2(与上面相同-但返回排列而不是打印)

private int[][] GetAllPermutations(int[] a, int index)
        {
            List<int[]> permutations = new List<int[]>();
            if (index == (a.Length - 1))
            {
                permutations.Add(a.ToArray());
            }

            for (int i = index; i < a.Length; i++)
            {
                Utilities.swap(ref a[i], ref a[index]);
                var r = this.GetAllPermutations(a, index + 1);
                permutations.AddRange(r);
                Utilities.swap(ref a[i], ref a[index]);
            }
            return permutations.ToArray();
        }
        private int[][] GetAllPermutations(int[] p)
        {
            p.ThrowIfNull("p");
            return this.GetAllPermutations(p, 0);
        }

单元测试

[TestMethod]
        public void PermutationsTests()
        {
            List<int> input = new List<int>();
            int[] output = { 0, 1, 2, 6, 24, 120 };
            for (int i = 0; i <= 5; i++)
            {
                if (i != 0)
                {
                    input.Add(i);
                }
                Debug.WriteLine("================PrintAllPermutations===================");
                int count = this.PrintAllPermutations(input.ToArray());
                Assert.IsTrue(count == output[i]);
                Debug.WriteLine("=====================GetAllPermutations=================");
                var r = this.GetAllPermutations(input.ToArray());
                Assert.IsTrue(count == r.Length);
                for (int j = 1; j <= r.Length;j++ )
                {
                    string s = string.Format("{0}: {1}", j,
                        string.Join(",", r[j - 1]));
                    Debug.WriteLine(s);
                }
                Debug.WriteLine("No.OfElements: {0}, TotalPerms: {1}", i, count);
            }
        }

倒计时Quickperm算法的通用实现，表示#1(可伸缩，非递归)。

/**
 * Generate permutations based on the
 * Countdown <a href="http://quickperm.org/">Quickperm algorithm</>.
 */
public static <T> List<List<T>> generatePermutations(List<T> list) {
    List<T> in = new ArrayList<>(list);
    List<List<T>> out = new ArrayList<>(factorial(list.size()));

    int n = list.size();
    int[] p = new int[n +1];
    for (int i = 0; i < p.length; i ++) {
        p[i] = i;
    }
    int i = 0;
    while (i < n) {
        p[i]--;
        int j = 0;
        if (i % 2 != 0) { // odd?
            j = p[i];
        }
        // swap
        T iTmp = in.get(i);
        in.set(i, in.get(j));
        in.set(j, iTmp);

        i = 1;
        while (p[i] == 0){
            p[i] = i;
            i++;
        }
        out.add(new ArrayList<>(in));
    }
    return out;
}

private static int factorial(int num) {
    int count = num;
    while (num != 1) {
        count *= --num;
    }
    return count;
}

它需要list，因为泛型不能很好地使用数组。

改进的代码相同

    static String permutationStr[];
    static int indexStr = 0;

    static int factorial (int i) {
        if (i == 1)
            return 1;
        else
            return i * factorial(i-1);
    }

    public static void permutation(String str) {
        char strArr[] = str.toLowerCase().toCharArray();
        java.util.Arrays.sort(strArr);

        int count = 1, dr = 1;
        for (int i = 0; i < strArr.length-1; i++){
            if ( strArr[i] == strArr[i+1]) {
                count++;
            } else {
                dr *= factorial(count);
                count = 1;
            }       
        }
        dr *= factorial(count);

        count = factorial(strArr.length) / dr;

        permutationStr = new String[count];

        permutation("", str);

        for (String oneStr : permutationStr){
            System.out.println(oneStr);
        }
    }

    private static void permutation(String prefix, String str) {
        int n = str.length();
        if (n == 0) {
            for (int i = 0; i < indexStr; i++){
                if(permutationStr[i].equals(prefix))
                    return;
            }        
            permutationStr[indexStr++] = prefix;
        } else {
            for (int i = 0; i < n; i++) {
                permutation(prefix + str.charAt(i), str.substring(0, i) + str.substring(i + 1, n));
            }
        }
    }

基于Mark Byers的回答，我想出了这个解决方案:

JAVA

public class Main {

    public static void main(String[] args) {
        myPerm("ABCD", 0);
    }

    private static void myPerm(String str, int index)
    {
        if (index == str.length()) System.out.println(str);

        for (int i = index; i < str.length(); i++)
        {
            char prefix = str.charAt(i);
            String suffix = str.substring(0,i) + str.substring(i+1);

            myPerm(prefix + suffix, index + 1);
        }
    }
}

C#

我还使用新的c# 8.0范围操作符在c#中编写了该函数

    class Program
    {
        static void Main(string[] args)
        {
            myPerm("ABCD", 0);
        }

        private static void myPerm(string str, int index)
        {
            if (index == str.Length) Console.WriteLine(str);

            for (int i = index; i < str.Length; i++)
            {
                char prefix = str[i];
                string suffix = str[0..i] + str[(i + 1)..];

                myPerm(prefix + suffix, index + 1);
            }
        }
    

我们只是把每个字母放在开头，然后排列。 第一次迭代是这样的:

/*
myPerm("ABCD",0)  
  prefix = "A"  
  suffix = "BCD"  
  myPerm("ABCD",1)  
    prefix = "B"  
    suffix = "ACD"  
    myPerm("BACD",2)  
      prefix = "C"  
      suffix = "BAD"  
      myPerm("CBAD",3)  
        prefix = "D"  
        suffix = "CBA"  
        myPerm("DCBA",4)  
          Console.WriteLine("DCBA")
*/