in reply to Re: JAPH-ing Genetically
in thread JAPH-ing Genetically

One of my other examples for Algorithm::Genetic is redoing one of the best nodes, Genetic Programming or breeding Perls, using my module. This node uses bits of legal perl code like "$x += $y;" and "$y=$x;" to make up a long operation; the bits are breed and mutated such that the operation, when evals to a number, and the GA aims to make code that matched a given number. This is a much better GA example, since with a good operations set, there's numerous ways to calculate a given number.

The reason this JAPH one works is that I upped the mutation rate to 10%, such that when it's close but not at the solution, there's a good chance that that one character pertubation is the right one to lock in the right solution.

Dr. Michael K. Neylon - mneylon-pm@masemware.com || "You've left the lens cap of your mind on again, Pinky" - The Brain

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Real Genetic Algorithms (getting off topic)
by John M. Dlugosz (Monsignor) on May 23, 2001 at 22:52 UTC
    It seems that chemists are using genetic algorithms, too:
    link
    Designing new enzymes is a difficult task, but what researchers can do is make thousands of trillions of RNA molecules, with the hope that one or a few of them can catalyze the appropriate reactions.
    What's especially weird about this case is that the subject of this particular enzime is genetics!

    Now if we could make trillions of little perl interpreters and turn them loose on a problem...

    —John
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In Section Cool Uses for Perl