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Genetic Programming
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Topic: Genetic Programming (Read 7730 times)
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ruler501
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Genetic Programming
«
on:
February 25, 2011, 08:41:36 pm »
If you do not know about this there is a website here:
http://www.geneticprogramming.us/
I am trying to learn genetic programming/create a new library for it in python.
I thought this would be a good place to create a discussion on it and possible implementations and uses. Please post any thoughts you have on the subject
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jnesselr
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Re: Genetic Programming
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Reply #1 on:
February 25, 2011, 10:44:22 pm »
I like how it essentially randomly chooses stuff, so you can give criteria even though you don't fully know where it's gonna go.
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AngelFish
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Re: Genetic Programming
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Reply #2 on:
February 25, 2011, 10:45:22 pm »
The only problem is that it'll take a supercomputer a week to solve even a simple problem with genetic programming
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ruler501
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Re: Genetic Programming
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Reply #3 on:
February 25, 2011, 10:49:45 pm »
You can get it working well. I believe there are efficient algorithms that will make it in python take less than a minute on an average computer
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AngelFish
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Re: Genetic Programming
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Reply #4 on:
February 25, 2011, 10:51:58 pm »
Depends on the problem. Genetic programming is a method that inherently relies on randomness, so it will only converge to a solution (if it can find one) with quite a bit of time. It's definitely more inefficient than most analytical algorithms.
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ruler501
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Re: Genetic Programming
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Reply #5 on:
February 25, 2011, 10:53:48 pm »
It can be applied for certain things to work better. I found some good uses for this.
Is there a better way to find polynomial approximations for functions?
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AngelFish
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Re: Genetic Programming
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Reply #6 on:
February 25, 2011, 10:55:21 pm »
Gaussian Quadrature is an excellent method of approximating functions.
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