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Published on 2010-02-04T05:49:32Z
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Is it good idea to use genetic algorithm in production?
If you are using it: In what case? What pros for selecting subj? Can you easily add changes to algorithm?
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I'm trying to solve the graph partitioning problem on large graphs (between a billion and trillion elements) using GA.
The problem is that even one chromosome will take several gigs of memory. Are there any general compression techniques for chromosome encoding? Or should I look into distributed…
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How can I write genetic algorithms in C#? Are there libraries available? Like C++: http://lancet.mit.edu/ga/
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I'm trying to implement a genetic algorithm that will calculate the minimum of the Rastrigin functon and I'm having some issues.
I need to represent the chromosome as a binary string and as the Rastrigin's function takes a list of numbers as a parameter, how can decode the chromosome to a list of…
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Can anyone provide some pseudo code for a roulette selection function? How would I implement this:
I don't really understand how to read this math notation. I never took any probability or statistics.
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Let's imagine I have an unknown function that I want to approximate via Genetic Algorithms. For this case, I'll assume it is y = 2x.
I'd have a DNA composed of 5 elements, one y for each x, from x = 0 to x = 4, in which, after a lot of trials and computation and I'd arrive near something of the form:
best_adn…
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I've been looking for some good genetic programming examples for C#. Anyone knows of good online/book resources? Wonder if there is a C# library out there for Evolutionary/Genetic programming?
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What genetic programming library, regardless of language, has the most active community and is the most well developed?
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I did a little GP (note:very little) work in college and have been playing around with it recently. My question is in regards to the intial run settings (population size, number of generations, min/max depth of trees, min/max depth of initial trees, percentages to use for different reproduction operations…
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Hi,
I'm writing a genetic programming (GP) system (in C but that's a minor detail). I've read a lot of the literature (Koza, Poli, Langdon, Banzhaf, Brameier, et al) but there are some implementation details I've never seen explained. For example:
I'm using a steady state population rather than…
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Has anybody seen a GP implemented with online learning rather than the standard offline learning? I've done some stuff with genetic programs and I simply can't figure out what would be a good way to make the learning process online.
Please let me know if you have any ideas, seen any implementations…
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