Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The
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Galileo: a python genetic algorithm released
After two years of waiting, and two afternoons of actual work, Galileo has finally been released. Galileo is a python module that allows developers to quickly construct canonical (and some non-canonical) genetic algorithms. The code is based on the ga2 C++ genetic algorithm library.
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File released: /galileo/1.0b/galileo.tar.gz
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galileo 1.0b file released: galileo.tar.gz
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ga2 Base code up
The c++ code which this project will be based on is up for download from the <a href = "https://sourceforge.net/projects/ga2/">ga2 project</a>. Work on this project will commence now. Sorry for the wait...more waiting to come.
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Galileo project opens
Announcing the Galileo project: the goal, to create a python modules for creating distributed genetic algorithms. The basis: an extant, unreleased GA library I wrote in C++ last year. The idea is to port this library into Python (why? because there are plenty of good C++ GA libs out there, and none for Python), then split it into a client server archetecture with XML-RPC, allowing for true parallel processing within the GA. So, no code for now...but it's coming soon.
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