One-point cross over in GA

I am using one point cross over to cross two individual. Assume that I have two individual such as

I1='10010011' 
I2='11001101'

tmp_P is vector store two individual I1 and I2. I want to implement one point cross over in C++. Is it right?

This is algorithm description

fori=1 to N/2 (N is number of individual=2 in my case)
   if random[0,1]<=Pc //cross prob.
       pos=random_int[1,n-1]
       for k=pos+1 to n //Length of individual=8 in my case
          aux=tmp_P_i[k]
          tmp_P_i[k]=tmp_P_(i+N/2)[k]
          tmp_P_(i+N/2)[k]=aux;
       end
   end
end

My problem is I am confusing the index of pos. Is it get random from [0 to n-2]. Is it right?

 //Random integer in range [min max]
int random_int(int min, int max) //range : [min, max]
{
    std::random_device rd;
    std::mt19937 gen(rd());
    std::uniform_int_distribution<> dis(min, max);
    return dis(gen);
}
//One-point Crossover
vector< vector<int> > crossover(vector< vector<int> > tmp_P)
{
    int pos=0;
    for (int i=0;i<N/2;i++)
    {
        //If random number smaller than crossover probability then do Crossover
        if(RND()<=Pc)
        {
            pos=random_int(0,n-2);//Index in C++ from 0
            int aux=0;
            for (int k=pos+1;k<n;k++)
            {
                //swat
                aux=tmp_P[i][k];
                tmp_P[i][k]=tmp_P[i+N/2][k];
                tmp_P[i+N/2][k]=aux;
            }
        }
    }
    return tmp_P;
}