Random number generator and seeding

[Joe]

Hi, I have been working on some code that requires a high use of random
numbers within. Mostly I either have to either:
1) flip a coin i.e. 0 or 1, or
2) generate a double between 0 and 1.

I have utilised the following random number source code
http://www.agner.org/random/

What I have found is that there is a problem with seeding. The code
generates a seed based on time(0). I have found that I need to increment
seed and

A snippet of my code is below. I basically generate a Population object that
contains various individuals. I want to randomly choose two individuals from
this population. I wish I could choose these individuals by the following:

// get two parents
ind1 = pool.RouletteWheel();
ind2 = pool.RouletteWheel();

[Howard]

"Joe" <jo*@blah.com> wrote in message news:41******@dnews.tpgi.com.au...

Hi, I have been working on some code that requires a high use of random
numbers within. Mostly I either have to either:
1) flip a coin i.e. 0 or 1, or
2) generate a double between 0 and 1.

I have utilised the following random number source code
http://www.agner.org/random/

What I have found is that there is a problem with seeding. The code
generates a seed based on time(0). I have found that I need to increment
seed and

A snippet of my code is below. I basically generate a Population object
that contains various individuals. I want to randomly choose two
individuals from this population. I wish I could choose these individuals
by the following:

// get two parents
ind1 = pool.RouletteWheel();
ind2 = pool.RouletteWheel();
.
.
int Population :: RouletteWheel ( )
{
int seed = time(0);
TRandomMersenne rg(seed);
return rg.Random();
}

In the above case all the random functions are contained in the Population
class. But when i do this it passes back two identical individuals. So
nstead I had to implement passing an incremented seed to the RouletteWheel
member function as shown below
<snip>
I dont like this solution as it enforced defining random functions in the
main.cpp class - which i dont want. Is there any way to implement my
desired approach (the former). I dont like the idea of passing incremented
seeds .. even though it does appear to introduce randomness in my results.

Any ideas greatly appreciated!

Cheers,
Joe

You only want to seed a random-number generator once during a given run of a
program. You then call the RNG multiple times to get "random" values.
Seeding the RNG multiple times destroys the "randomness" of the RNG.

-Howard

[Chris Theis]

"Joe" <jo*@blah.com> schrieb im Newsbeitrag
news:41******@dnews.tpgi.com.au...

Hi, I have been working on some code that requires a high use of random
numbers within. Mostly I either have to either:
1) flip a coin i.e. 0 or 1, or
2) generate a double between 0 and 1.

I have utilised the following random number source code
http://www.agner.org/random/

What I have found is that there is a problem with seeding. The code
generates a seed based on time(0). I have found that I need to increment
seed and

A snippet of my code is below. I basically generate a Population object that contains various individuals. I want to randomly choose two individuals from this population. I wish I could choose these individuals by the following:

[SNIP]

I guess it's necessary to clarify some things about random number
generators. In principle they work the following way that you have to pass a
starting seed which is the starting point of your sequence of (pseudo)random
numbers. Passing the same seed to the RNG will result in the same sequence.
This is useful if you need random numbers but simultaneously have the
requirement of reproducing the behavior of your algorithm.

However, normally the seed is passed only at the construction time and
subsequent calls to the RNG's function which actually returns the numbers,
should modify the internally stored seed of the RNG object. You should be
aware that seeds are not numbers which will continuously increase or
decrease. Furthermore, the seed has a great influence on the quality of the
random sequence but this would lead too far here.

In summary you should pass the seed only once to your random number object
and also this object should be created only once.

int Population :: RouletteWheel ( int seed )
{
TRandomMersenne rg(seed);
return rg.Random();
}

This implementation creates a RNG object whenever RouletteWheel is called. I
don't know about the details of your population class but you could put the
TRandomMersenne object there as a member which is initialized with the seed
in the constructor of "population".

HTH
Chris

[Karl Heinz Buchegger]

Chris Theis wrote:

"Joe" <jo*@blah.com> schrieb im Newsbeitrag
news:41******@dnews.tpgi.com.au...

Hi, I have been working on some code that requires a high use of random
numbers within. Mostly I either have to either:
1) flip a coin i.e. 0 or 1, or
2) generate a double between 0 and 1.

I have utilised the following random number source code
http://www.agner.org/random/

What I have found is that there is a problem with seeding. The code
generates a seed based on time(0). I have found that I need to increment
seed and

A snippet of my code is below. I basically generate a Population object

that

contains various individuals. I want to randomly choose two individuals

from

this population. I wish I could choose these individuals by the following:

[SNIP]

I guess it's necessary to clarify some things about random number
generators. In principle they work the following way that you have to pass a
starting seed which is the starting point of your sequence of (pseudo)random
numbers. Passing the same seed to the RNG will result in the same sequence.
This is useful if you need random numbers but simultaneously have the
requirement of reproducing the behavior of your algorithm.

Good explanation.
But I want to express something clearly to the OP:
It is always that *sequence* that has some property of randomness.
So it is important that you let the generator alone, seed it only once,
and then let the generator do its magic to come up with the *sequence*
of random numbers. If you reseed the generator all the time, you don't
let the generator build up its randomness.

The thing is: Is 3 random? Is 5 random? Nobody knows. But with some tests
we can decide if the sequence 3 5 1 9 2 (some more numbers) is a pseudo random
sequence or if there is some pattern in it. A good random generator generates
long sequences without a pattern, and that is what we call 'pseudo random numbers'.
So 'randomness' in a computer is some sort of statistical property. And as with
all statistical properties you need a large enough base for testing.
But for this to work you *must not* interfere with the number generating algorithm
as a reseed would do.

--
Karl Heinz Buchegger
kb******@gascad.at