在类中，可以重载"<"操作符。

class MyClass
{
  bool operator <(const MyClass& rhs)
  {
    return this->key < rhs.key;
  }
}

一个使用std::sort的简单示例

struct MyStruct
{
    int key;
    std::string stringValue;

    MyStruct(int k, const std::string& s) : key(k), stringValue(s) {}
};

struct less_than_key
{
    inline bool operator() (const MyStruct& struct1, const MyStruct& struct2)
    {
        return (struct1.key < struct2.key);
    }
};

std::vector < MyStruct > vec;

vec.push_back(MyStruct(4, "test"));
vec.push_back(MyStruct(3, "a"));
vec.push_back(MyStruct(2, "is"));
vec.push_back(MyStruct(1, "this"));

std::sort(vec.begin(), vec.end(), less_than_key());

编辑:正如Kirill V. Lyadvinsky指出的那样，你可以为MyStruct实现操作符<，而不是提供排序谓词:

struct MyStruct
{
    int key;
    std::string stringValue;

    MyStruct(int k, const std::string& s) : key(k), stringValue(s) {}

    bool operator < (const MyStruct& str) const
    {
        return (key < str.key);
    }
};

使用这个方法意味着你可以简单地对向量进行排序:

std::sort(vec.begin(), vec.end());

Edit2:正如Kappa所建议的，你也可以通过重载>操作符并更改sort调用来按降序排序向量:

struct MyStruct
{
    int key;
    std::string stringValue;

    MyStruct(int k, const std::string& s) : key(k), stringValue(s) {}

    bool operator > (const MyStruct& str) const
    {
        return (key > str.key);
    }
};

你应该调用sort为:

std::sort(vec.begin(), vec.end(),greater<MyStruct>());

我很好奇在调用std::sort的各种方式之间是否有任何可测量的性能影响，所以我创建了这个简单的测试:

$ cat sort.cpp
#include<algorithm>
#include<iostream>
#include<vector>
#include<chrono>

#define COMPILER_BARRIER() asm volatile("" ::: "memory");

typedef unsigned long int ulint;

using namespace std;

struct S {
  int x;
  int y;
};

#define BODY { return s1.x*s2.y < s2.x*s1.y; }

bool operator<( const S& s1, const S& s2 ) BODY
bool Sgreater_func( const S& s1, const S& s2 ) BODY

struct Sgreater {
  bool operator()( const S& s1, const S& s2 ) const BODY
};

void sort_by_operator(vector<S> & v){
  sort(v.begin(), v.end());
}

void sort_by_lambda(vector<S> & v){
  sort(v.begin(), v.end(), []( const S& s1, const S& s2 ) BODY );
}

void sort_by_functor(vector<S> &v){
  sort(v.begin(), v.end(), Sgreater());
}

void sort_by_function(vector<S> &v){
  sort(v.begin(), v.end(), &Sgreater_func);
}

const int N = 10000000;
vector<S> random_vector;

ulint run(void foo(vector<S> &v)){
  vector<S> tmp(random_vector);
  foo(tmp);
  ulint checksum = 0;
  for(int i=0;i<tmp.size();++i){
     checksum += i *tmp[i].x ^ tmp[i].y;
  }
  return checksum;
}

void measure(void foo(vector<S> & v)){

ulint check_sum = 0;

  // warm up
  const int WARMUP_ROUNDS = 3;
  const int TEST_ROUNDS = 10;

  for(int t=WARMUP_ROUNDS;t--;){
    COMPILER_BARRIER();
    check_sum += run(foo);
    COMPILER_BARRIER();
  }

  for(int t=TEST_ROUNDS;t--;){
    COMPILER_BARRIER();
    auto start = std::chrono::high_resolution_clock::now();
    COMPILER_BARRIER();
    check_sum += run(foo);
    COMPILER_BARRIER();
    auto end = std::chrono::high_resolution_clock::now();
    COMPILER_BARRIER();
    auto duration_ns = std::chrono::duration_cast<std::chrono::duration<double>>(end - start).count();

    cout << "Took " << duration_ns << "s to complete round" << endl;
  }

  cout << "Checksum: " << check_sum << endl;
}

#define M(x) \
  cout << "Measure " #x " on " << N << " items:" << endl;\
  measure(x);

int main(){
  random_vector.reserve(N);

  for(int i=0;i<N;++i){
    random_vector.push_back(S{rand(), rand()});
  }

  M(sort_by_operator);
  M(sort_by_lambda);
  M(sort_by_functor);
  M(sort_by_function);
  return 0;
}

它所做的是创建一个随机向量，然后测量复制它所需的时间并对它的副本进行排序(并计算一些校验和以避免过于激烈的死代码消除)。

我是用g++ (GCC) 7.2.1 20170829 (Red Hat 7.2.1-1)编译的

$ g++ -O2 -o sort sort.cpp && ./sort

结果如下:

Measure sort_by_operator on 10000000 items:
Took 0.994285s to complete round
Took 0.990162s to complete round
Took 0.992103s to complete round
Took 0.989638s to complete round
Took 0.98105s to complete round
Took 0.991913s to complete round
Took 0.992176s to complete round
Took 0.981706s to complete round
Took 0.99021s to complete round
Took 0.988841s to complete round
Checksum: 18446656212269526361
Measure sort_by_lambda on 10000000 items:
Took 0.974274s to complete round
Took 0.97298s to complete round
Took 0.964506s to complete round
Took 0.96899s to complete round
Took 0.965773s to complete round
Took 0.96457s to complete round
Took 0.974286s to complete round
Took 0.975524s to complete round
Took 0.966238s to complete round
Took 0.964676s to complete round
Checksum: 18446656212269526361
Measure sort_by_functor on 10000000 items:
Took 0.964359s to complete round
Took 0.979619s to complete round
Took 0.974027s to complete round
Took 0.964671s to complete round
Took 0.964764s to complete round
Took 0.966491s to complete round
Took 0.964706s to complete round
Took 0.965115s to complete round
Took 0.964352s to complete round
Took 0.968954s to complete round
Checksum: 18446656212269526361
Measure sort_by_function on 10000000 items:
Took 1.29942s to complete round
Took 1.3029s to complete round
Took 1.29931s to complete round
Took 1.29946s to complete round
Took 1.29837s to complete round
Took 1.30132s to complete round
Took 1.3023s to complete round
Took 1.30997s to complete round
Took 1.30819s to complete round
Took 1.3003s to complete round
Checksum: 18446656212269526361

看起来除了传递函数指针之外的所有选项都非常相似，传递函数指针会导致+30%的惩罚。

它看起来还像操作符< version慢了1%(我重复了多次测试，效果仍然存在)，这有点奇怪，因为它表明生成的代码是不同的(我缺乏分析的技能—save-temps输出)。

是的，std::sort()与第三个参数(函数或对象)将更容易。一个例子: http://www.cplusplus.com/reference/algorithm/sort/

您可以使用用户定义的比较器类。

class comparator
{
    int x;
    bool operator()( const comparator &m,  const comparator &n )
    { 
       return m.x<n.x;
    }
 }

中使用sort()算法对向量进行排序。

sort(vec.begin(),vec.end(),less<int>());

使用的第三个参数可以是更大或更小，也可以使用任何函数或对象。但是，如果第三个参数为空，则默认操作符为<。

// using function as comp
std::sort (myvector.begin()+4, myvector.end(), myfunction);
bool myfunction (int i,int j) { return (i<j); }

// using object as comp
std::sort (myvector.begin(), myvector.end(), myobject);