[ExI] mersenne primes again
spike66 at att.net
Fri Apr 2 01:47:32 UTC 2010
> ...On Behalf Of Mike Dougherty
Apologies I am near or past my posting limit for the day, but I will be away
for the weekend, so somewhere on this planet it is already tomorrow.
> Have you read anything about Genetic Algorithms as a solution finder?
Read on them, written them, had a blast programming my brains out with it.
The spreadsheet format is an especially useful programming environment for
doing this kind of experimentation, especially as one gets hot with the
> I'm working on an undergrad seminar paper that discusses a GA
> implemented in SQL for the purpose of discovering a
> relationship between keywords in a person's business title
> and their likelihood of clicking on a link in an email...
Ja, a great example of where SQL is way better than the spreadsheet format.
> The beauty of the genetic algorithm is that it finds 'pretty good'
> solutions even when the ideal solution is not known and when
> there are too many interdependent variables to make other
> solution finders perform in reasonable time...
>...I was mostly curious if you've even heard of genetic algorithms...Mike
Ja, actually I think most people have at least heard of it, and plenty of
amateur programmers have tried to use the principles. I thought of the
genetic algorithm as the logical extrapolation of the field we geezers used
to call the calculus of variation. I wrote a technical paper about this
(calculus of variation, not yet called genetic algorithms) in 1994 for an
engineering society. The notion was that one had to set a bunch of
interconnected variables to optimize a number of outputs. The trick was to
find how all the variables interacted. Fun stuff!
Mike I need to get up to speed on what the genetic algorithm guys have been
doing recently, so thanks for mentioning it.
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