只是使用python的另一个解决方案:

def PermutationStep(num):
    if sorted(list(str(num)), reverse=True) == list(str(num)):
        return -1
    ls = list(str(num))
    n = 0
    inx = 0
    for ind, i in enumerate(ls[::-1]):
        if i < n:
            n = i
            inx = -(ind + 1)
            break
        n = i
    ls[inx], ls[inx + 1] = ls[inx + 1], ls[inx]

    nl = ls[inx::-1][::-1]
    ln = sorted(ls[inx+1:])
    return ''.join(nl) + ''.join(ln)

print PermutationStep(23514)

输出:

23541

这是另一个Java实现，可以开箱即用，并通过测试完成。 这个解决方案是O(n)个空间和时间，使用老式的动态规划。

如果你想用蛮力，有两种蛮力:

排列所有的东西，然后选择最小值更高的:O(n!) 与此实现类似，但不是DP，而是强制填充的步骤 indexToIndexOfNextSmallerLeft映射将在O(n²)中运行。

import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

import org.junit.Test;

import static org.junit.Assert.assertEquals;

public class NextHigherSameDigits {

    public long next(final long num) {
        final char[] chars = String.valueOf(num).toCharArray();
        final int[] digits = new int[chars.length];
        for (int i = 0; i < chars.length; i++) {
            digits[i] = Character.getNumericValue(chars[i]);
        }

        final Map<Integer, Integer> indexToIndexOfNextSmallerLeft = new HashMap<>();
        indexToIndexOfNextSmallerLeft.put(1, digits[1] > digits[0] ? 0 : null);
        for (int i = 2; i < digits.length; i++) {
            final int left = digits[i - 1];
            final int current = digits[i];
            Integer indexOfNextSmallerLeft = null;
            if (current > left) {
                indexOfNextSmallerLeft = i - 1;
            } else {
                final Integer indexOfnextSmallerLeftOfLeft = indexToIndexOfNextSmallerLeft.get(i - 1);
                final Integer nextSmallerLeftOfLeft = indexOfnextSmallerLeftOfLeft == null ? null : 
                    digits[indexOfnextSmallerLeftOfLeft];

                if (nextSmallerLeftOfLeft != null && current > nextSmallerLeftOfLeft) {
                    indexOfNextSmallerLeft = indexOfnextSmallerLeftOfLeft;
                } else {
                    indexOfNextSmallerLeft = null;
                }
            }

            indexToIndexOfNextSmallerLeft.put(i, indexOfNextSmallerLeft);
        }

        Integer maxOfindexOfNextSmallerLeft = null;
        Integer indexOfMinToSwapWithNextSmallerLeft = null;
        for (int i = digits.length - 1; i >= 1; i--) {
            final Integer indexOfNextSmallerLeft = indexToIndexOfNextSmallerLeft.get(i);
            if (maxOfindexOfNextSmallerLeft == null ||
                    (indexOfNextSmallerLeft != null && indexOfNextSmallerLeft > maxOfindexOfNextSmallerLeft)) {

                maxOfindexOfNextSmallerLeft = indexOfNextSmallerLeft;
                if (maxOfindexOfNextSmallerLeft != null && (indexOfMinToSwapWithNextSmallerLeft == null || 
                        digits[i] < digits[indexOfMinToSwapWithNextSmallerLeft])) {

                    indexOfMinToSwapWithNextSmallerLeft = i;
                }
            }
        }

        if (maxOfindexOfNextSmallerLeft == null) {
            return -1;
        } else {
            swap(digits, indexOfMinToSwapWithNextSmallerLeft, maxOfindexOfNextSmallerLeft);
            reverseRemainingOfArray(digits, maxOfindexOfNextSmallerLeft + 1);
            return backToLong(digits);
        }
    }

    private void reverseRemainingOfArray(final int[] digits, final int startIndex) {
        final int[] tail = Arrays.copyOfRange(digits, startIndex, digits.length);
        for (int i = tail.length - 1; i >= 0; i--) {
            digits[(digits.length - 1)  - i] = tail[i];                 
        }
    }

    private void swap(final int[] digits, final int currentIndex, final int indexOfNextSmallerLeft) {
        int temp = digits[currentIndex];
        digits[currentIndex] = digits[indexOfNextSmallerLeft];
        digits[indexOfNextSmallerLeft] = temp;
    }

    private long backToLong(int[] digits) {     
        StringBuilder sb = new StringBuilder();
        for (long i : digits) {
            sb.append(String.valueOf(i));
        }

        return Long.parseLong(sb.toString());
    }

    @Test
    public void test() {
        final long input1 =    34722641;
        final long expected1 = 34724126;
        final long output1 = new NextHigherSameDigits().next(input1);
        assertEquals(expected1, output1);

        final long input2 =    38276;
        final long expected2 = 38627;
        final long output2 = new NextHigherSameDigits().next(input2);
        assertEquals(expected2, output2);

        final long input3 =    54321;
        final long expected3 = -1;
        final long output3 = new NextHigherSameDigits().next(input3);
        assertEquals(expected3, output3);

        final long input4 =    123456784987654321L;
        final long expected4 = 123456785123446789L;
        final long output4 = new NextHigherSameDigits().next(input4);
        assertEquals(expected4, output4);

        final long input5 =    9999;
        final long expected5 = -1;
        final long output5 = new NextHigherSameDigits().next(input5);
        assertEquals(expected5, output5);
    }

}

这是我的代码，它是这个例子的修改版本

库:

class NumPermExample
{
    // print N! permutation of the characters of the string s (in order)
    public  static void perm1(String s, ArrayList<String> perm)
    {
        perm1("", s);
    }

    private static void perm1(String prefix, String s, ArrayList<String> perm)
    {
        int N = s.length();
        if (N == 0)
        {
            System.out.println(prefix);
            perm.add(prefix);
        }
        else
        {
            for (int i = 0; i < N; i++)
                perm1(prefix + s.charAt(i), s.substring(0, i)
                    + s.substring(i+1, N));
        }

    }

    // print N! permutation of the elements of array a (not in order)
    public static void perm2(String s, ArrayList<String> perm)
    {
       int N = s.length();
       char[] a = new char[N];
       for (int i = 0; i < N; i++)
           a[i] = s.charAt(i);
       perm2(a, N);
    }

    private static void perm2(char[] a, int n, ArrayList<String> perm)
    {
        if (n == 1)
        {
            System.out.println(a);
            perm.add(new String(a));
            return;
        }

        for (int i = 0; i < n; i++)
        {
            swap(a, i, n-1);
            perm2(a, n-1);
            swap(a, i, n-1);
        }
    }  

    // swap the characters at indices i and j
    private static void swap(char[] a, int i, int j)
    {
        char c;
        c = a[i]; a[i] = a[j]; a[j] = c;
    }

    // next higher permutation
    public static int nextPermutation (int number)
    {
        ArrayList<String> perm = new ArrayList<String>();

        String cur = ""+number;

        int nextPerm = 0;

        perm1(cur, perm);

        for (String s : perm)
        {
            if (Integer.parseInt(s) > number
                        && (nextPerm == 0 ||
                            Integer.parseInt(s) < nextPerm))
            {
                nextPerm = Integer.parseInt(s);
            }
        }

            return nextPerm;
    }
}

测试:

public static void main(String[] args) 
{
    int a = 38276;

    int b = NumPermExample.nextPermutation(a);

    System.out.println("a: "+a+", b: "+b);
}

我们需要找到最右边的0位，后面是1，然后将最右边的0位翻转为1。

例如，我们的输入是487，也就是二进制的111100111。

我们把后面有1的0往右翻转最多

所以我们得到 111101111

但是现在我们多了一个1，少了一个0，所以我们减少了右边1的个数 位增加1，并将0位的no增加1，得到

111101011 -二进制491

int getNextNumber(int input)
{
    int flipPosition=0;
    int trailingZeros=0;
    int trailingOnes=0;
    int copy = input;

    //count trailing zeros
    while(copy != 0 && (copy&1) == 0 )
    {
        ++trailingZeros;

        //test next bit
        copy = copy >> 1;
    }

    //count trailing ones
    while(copy != 0 && (copy&1) == 1 )
    {
        ++trailingOnes;

        //test next bit
        copy = copy >> 1;
    }

    //if we have no 1's (i.e input is 0) we cannot form another pattern with 
    //the same number of 1's which will increment the input, or if we have leading consecutive
    //ones followed by consecutive 0's up to the maximum bit size of a int
    //we cannot increase the input whilst preserving the original no of 0's and
    //1's in the bit pattern
    if(trailingZeros + trailingOnes  == 0 || trailingZeros + trailingOnes == 31)
        return -1;

    //flip first 0 followed by a 1 found from the right of the bit pattern
    flipPosition = trailingZeros + trailingOnes+1;
    input |= 1<<(trailingZeros+trailingOnes);

    //clear fields to the right of the flip position
    int mask = ~0 << (trailingZeros+trailingOnes);
    input &= mask;

    //insert a bit pattern to the right of the flip position that will contain
    //one less 1 to compensate for the bit we switched from 0 to 1
    int insert = flipPosition-1;
    input |= insert;

    return input;
}

取一个数，把它分成几位数。如果我们有一个5位数，我们就有5位数:abcde

现在交换d和e，并与原来的数字进行比较，如果它更大，你就得到了答案。

如果它不是很大，交换e和c。现在比较，如果它更小，再次交换d和e(注意递归)，取最小的。

一直算下去，直到找到一个更大的数字。通过递归，它应该相当于9行方案，或20行c#。

下面是Python中的一个紧凑(但部分是蛮力)解决方案

def findnext(ii): return min(v for v in (int("".join(x)) for x in
    itertools.permutations(str(ii))) if v>ii)

在c++中，你可以这样排列:https://stackoverflow.com/a/9243091/1149664(它与itertools中的算法相同)

以下是Weeble和BlueRaja描述的顶部答案的实现(其他答案)。我怀疑还有什么更好的办法。

def findnext(ii):
    iis=list(map(int,str(ii)))
    for i in reversed(range(len(iis))):
        if i == 0: return ii
        if iis[i] > iis[i-1] :
            break        
    left,right=iis[:i],iis[i:]
    for k in reversed(range(len(right))):
        if right[k]>left[-1]:
           right[k],left[-1]=left[-1],right[k]
           break
    return int("".join(map(str,(left+sorted(right)))))