Re: Minimization principal for evolution

There is a buzz word in computer science called "Genetic Algorithms",
which try to use evolutionary principles to minimize objective
functions.

The issue is really handicapped in two areas.
1) Evolution does not subscribe to exactly one objective function for
all organisms,
wheras all studies in optimization have one objective function by which
all hypothesis are measured. Part of evolution is the development of
different species for different niches (not the best species for one
niche).

2) There are much better algorithms for optimization, bootstrapping,
monte carlo, gradient decsent, etc... The gentic algorithms have
problems with actually minimizing a function because one strand will
dominate the gene pool, see issue number 1.


.

Relevant Pages

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