使用递归。

当输入是空字符串时，唯一的排列就是空字符串。尝试将字符串中的每个字母作为第一个字母，然后使用递归调用找到其余字母的所有排列。

import java.util.ArrayList;
import java.util.List;

class Permutation {
    private static List<String> permutation(String prefix, String str) {
        List<String> permutations = new ArrayList<>();
        int n = str.length();
        if (n == 0) {
            permutations.add(prefix);
        } else {
            for (int i = 0; i < n; i++) {
                permutations.addAll(permutation(prefix + str.charAt(i), str.substring(i + 1, n) + str.substring(0, i)));
            }
        }
        return permutations;
    }

    public static void main(String[] args) {
        List<String> perms = permutation("", "abcd");

        String[] array = new String[perms.size()];
        for (int i = 0; i < perms.size(); i++) {
            array[i] = perms.get(i);
        }

        int x = array.length;

        for (final String anArray : array) {
            System.out.println(anArray);
        }
    }
}

/** Returns an array list containing all
 * permutations of the characters in s. */
public static ArrayList<String> permute(String s) {
    ArrayList<String> perms = new ArrayList<>();
    int slen = s.length();
    if (slen > 0) {
        // Add the first character from s to the perms array list.
        perms.add(Character.toString(s.charAt(0)));

        // Repeat for all additional characters in s.
        for (int i = 1;  i < slen;  ++i) {

            // Get the next character from s.
            char c = s.charAt(i);

            // For each of the strings currently in perms do the following:
            int size = perms.size();
            for (int j = 0;  j < size;  ++j) {

                // 1. remove the string
                String p = perms.remove(0);
                int plen = p.length();

                // 2. Add plen + 1 new strings to perms.  Each new string
                //    consists of the removed string with the character c
                //    inserted into it at a unique location.
                for (int k = 0;  k <= plen;  ++k) {
                    perms.add(p.substring(0, k) + c + p.substring(k));
                }
            }
        }
    }
    return perms;
}

在python中

def perms(in_str, prefix=""):
if not len(in_str) :
    print(prefix)
else:        
    for i in range(0, len(in_str)):
        perms(in_str[:i] + in_str[i + 1:], prefix + in_str[i])

perms('ASD')

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));
}

这是一个具有O(n!)时间复杂度的算法，具有纯递归和直观。

public class words {
static String combinations;
public static List<String> arrlist=new ArrayList<>();
public static void main(String[] args) {
    words obj = new words();

    String str="premandl";
    obj.getcombination(str, str.length()-1, "");
    System.out.println(arrlist);

}


public void getcombination(String str, int charIndex, String output) {

    if (str.length() == 0) {
        arrlist.add(output);
        return ;
    }

    if (charIndex == -1) {
        return ;
    }

    String character = str.toCharArray()[charIndex] + "";
    getcombination(str, --charIndex, output);

    String remaining = "";

    output = output + character;

    remaining = str.substring(0, charIndex + 1) + str.substring(charIndex + 2);

    getcombination(remaining, remaining.length() - 1, output);

}

}

没有递归的Java实现

public Set<String> permutate(String s){
    Queue<String> permutations = new LinkedList<String>();
    Set<String> v = new HashSet<String>();
    permutations.add(s);

    while(permutations.size()!=0){
        String str = permutations.poll();
        if(!v.contains(str)){
            v.add(str);
            for(int i = 0;i<str.length();i++){
                String c = String.valueOf(str.charAt(i));
                permutations.add(str.substring(i+1) + c +  str.substring(0,i));
            }
        }
    }
    return v;
}