[ExI] ‘Survival of fittest’ is disputed

Mike Dougherty msd001 at gmail.com
Thu Aug 26 00:41:06 UTC 2010

On Wed, Aug 25, 2010 at 9:23 AM, The Avantguardian
<avantguardian2020 at yahoo.com> wrote:
> Yes although there are some key differences that make genetic algorithms more
> like the selective breeding of domesticated organisms than the evolution of
> organisms in the wild. For example in nature, the solution space is several
> orders of magnitude higher in dimensionality. Also the local maxima are moving
> targets and there is a feedback of the solutions on the problem constraints. As
> well as the tendency of the natural algorithms to eat one another. :-)

sound _like_ GA

Selective breeding is an example of a reduced dimensionality and
constrained fitness function.  Effectively GA are selectively breeding
for an answer to a specific purpose.  Wild natural environments are
more complex but there is no way to prove that a goal exists or if
it's simple/complex.  (A simple answer with an unlimited runtime may
generate unimaginable complexity)

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