Re: Anyone can introduce GA resource?

quite frankly my time is sucked up on NNs

my stuff works well but I was always interested to Plug in a GA and see 
any differences in answers or speed.  I use Proprietary Pattern Search - 
a Direct Seach Method dating back ~ 43 years and which is not Global but 
is other wise powerful.

You can do 1000 variables, no problem except time

Paul

[EMAIL PROTECTED] wrote:

> Paul Victor Birke wrote:
>
> > Quaternion wrote:
>
> <snip>
>
> > > The coding of GA's is actually amazingly simple
> >
> > Quoting my wife ==> >>easy for you to say !!<<
>
>
> Paul, I believe you could code up your own GA software based on this
> description which will shortly appear on our ANNEvolve website:
>
>                       How Simulated Evolution Works
>                               by M. Timin 
>                              November, 2003
>
> 1. There is a population of similar, but not identical, things.
>
> 2. Each one has a linear array of numbers that specify how it differs
> from the
>    other members of the population.  This array may be called a
> chromosome.
>
> 3. There is a test that can be applied to every member of the
> population, and
>    which yields a fitness value.  This fitness value is a measure of how
> each
>    individual compares with the others in achieving some goal.
>
> 4. The entire population is tested, and then a significant fraction of
> them are chosen to be eliminated.  The decision in each case is based on
> the results of the fitness test.  It might just consist of eliminating
> the lower half of the population.  More commonly there is random
> elimination with the less fit individuals having a higher probability of
> being eliminated.
>
> 5. There is mating, which consists of choosing pairs of surviving
> individuals
>    to be parents.  Usually, the more fit individuals have a higher
> probability
>    of being chosen.  Individuals may be parents more than once, and with
>    different partners.	 
>
> 6. There is reproduction, which consists of creating new individuals
> to    replace those that have been eliminated.  These "offspring" are
> formed by combining portions of the chromosomes of both parents.  Two
> new chromosomes are created which are different from both of the
> parents, but contain long
>    segments of chromosome that are identical to	homologous segment in
> one
>    parent or the other.	 The total population is usually kept constant.
>    
> 7. Steps 4, 5, and 6 are repeated indefinitely, perhaps thousands of
> times.
>    The result is usually a dramatic increase in the fitness of the
> population,
>    and of the most fit member of the population.  This most fit member
> will be
>    usually be the desired solution to the problem at hand.  Each
> repetition of
>    these steps is called a generation.
>
> I suggest you just start trying to code this up yourself.  You can ask
> questions when you get stuck.
>
> m