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Genetic Programming Implementation on Python
Is there any implementation of genetic programming on Python?
There are plenty of implementations of genetic programming on C/Java, but I found no implementation in Python.
It would be great if there was an implementation that could be used like
import random
g = genetic(100,0.2)
g.fitness(‘this is a test’)
# returns:
# [0.20827552196620368]
A:
I don’t know of an off-the-shelf package, but there’s a tutorial on how to implement it yourself. (
A:
The new version of the Genetic Programming Framework (GAF) is Python-based.
A:
Personally I think that genetic programming is very much language and infrastructure agnostic. I think the choice of language in which you do the implementation has less to do with how you approach the problem than the types of problems you’d like to solve.
So, for instance, I’d implement genetic programming in Scheme because it has a first class support for meta-programming, which genetic programming I find very useful.
To give a simple example of a functional approach to genetic programming. You might have a function that can take a string as input
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