Recommended way to initialize srand?

This is what I've used for small command line programs that can be run frequently (multiple times a second):

unsigned long seed = mix(clock(), time(NULL), getpid());

Where mix is:

// Robert Jenkins' 96 bit Mix Function
unsigned long mix(unsigned long a, unsigned long b, unsigned long c)
{
    a=a-b;  a=a-c;  a=a^(c >> 13);
    b=b-c;  b=b-a;  b=b^(a << 8);
    c=c-a;  c=c-b;  c=c^(b >> 13);
    a=a-b;  a=a-c;  a=a^(c >> 12);
    b=b-c;  b=b-a;  b=b^(a << 16);
    c=c-a;  c=c-b;  c=c^(b >> 5);
    a=a-b;  a=a-c;  a=a^(c >> 3);
    b=b-c;  b=b-a;  b=b^(a << 10);
    c=c-a;  c=c-b;  c=c^(b >> 15);
    return c;
}

The best answer is to <random>. If you are using a pre C++11 version you can alternatively look at Boost random number stuff.

But if we are talking about rand() and srand()
The best simplist way is just to use time():

int main()
{
    srand(time(nullptr));

    ...
}

Be sure to do this at the beginning of your program, and not every time you call rand()!

Side Note:

NOTE: There is a discussion in the comments below about this being insecure (which is true, but ultimately not relevant (read on)). So an alternative is to seed from the random device /dev/random (or some other secure real(er) random number generator). BUT: Don't let this lull you into a false sense of security. This is rand() we are using. Even if you seed it with a brilliantly generated seed it is still predictable (if you have any value you can predict the full sequence of next values). This is only useful for generating "pseudo" random values.

If you want "secure" you should probably be using <random> (Though I would do some more reading on a security informed site). See the answer below as a starting point: https://stackoverflow.com/a/29190957/14065 for a better answer.

Secondary note: Using random device actually solves the issues with starting multiple copies per second better than my original suggestion below (just not the security issue).

Back to original story:

Every time you start up, time() will return a unique value (unless you start the application multiple times a second). In 32 bit systems, it will only repeat every 60 years or so.

I know you don't think time is unique enough but I find that hard to believe. But I have been known to be wrong.

If you are starting a lot of copies of your application simultaneously you could use a timer with a finer resolution. But then you run the risk of a shorter time period before the value repeats.

OK, so if you really think you are starting multiple applications a second.
Then use a finer grain on the timer.

 int main()
 {
     struct timeval time; 
     gettimeofday(&time,NULL);

     // microsecond has 1 000 000
     // Assuming you did not need quite that accuracy
     // Also do not assume the system clock has that accuracy.
     srand((time.tv_sec * 1000) + (time.tv_usec / 1000));

     // The trouble here is that the seed will repeat every
     // 24 days or so.

     // If you use 100 (rather than 1000) the seed repeats every 248 days.

     // Do not make the MISTAKE of using just the tv_usec
     // This will mean your seed repeats every second.
 }

if you need a better random number generator, don't use the libc rand. Instead just use something like /dev/random or /dev/urandom directly (read in an int directly from it or something like that).

The only real benefit of the libc rand is that given a seed, it is predictable which helps with debugging.

On windows:

srand(GetTickCount());

provides a better seed than time() since its in milliseconds.

C++11 random_device

If you need reasonable quality then you should not be using rand() in the first place; you should use the <random> library. It provides lots of great functionality like a variety of engines for different quality/size/performance trade-offs, re-entrancy, and pre-defined distributions so you don't end up getting them wrong. It may even provide easy access to non-deterministic random data, (e.g., /dev/random), depending on your implementation.

#include <random>
#include <iostream>

int main() {
    std::random_device r;
    std::seed_seq seed{r(), r(), r(), r(), r(), r(), r(), r()};
    std::mt19937 eng(seed);

    std::uniform_int_distribution<> dist{1,100};

    for (int i=0; i<50; ++i)
        std::cout << dist(eng) << '\n';
}

eng is a source of randomness, here a built-in implementation of mersenne twister. We seed it using random_device, which in any decent implementation will be a non-determanistic RNG, and seed_seq to combine more than 32-bits of random data. For example in libc++ random_device accesses /dev/urandom by default (though you can give it another file to access instead).

Next we create a distribution such that, given a source of randomness, repeated calls to the distribution will produce a uniform distribution of ints from 1 to 100. Then we proceed to using the distribution repeatedly and printing the results.