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Q: I'd like to participate. How do I begin?
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3
Donwload the latest code on our Git repository: git://eodev.git.sourceforge.net/gitroot/eodev/eodev
Find bugs and enhancement: https://sourceforge.net/apps/trac/eodev/report/3
Developers and users are using the mailing-list: http://sourceforge.net/mail/?group_id=9775
— nojhan · 7 years ago
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Q: Other than writing code, how can I contribute?
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0Improve the doxygen API documentation
As EO is a framework, we have a lot of classes to document with doxygen. Unfortunately, the API documentation has not been a priority until now, and it needs a refresh.
You can take a look at the current stable version at: http://eodev.sourceforge.net/eo/doc/html/index.html
— nojhan · 7 years ago
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Q: What's a good bug for a newcomer to tackle?
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0Look at the available tasks tagged as "easy"
On the ticket tracker (you may need to log into soureforge) https://sourceforge.net/apps/trac/eodev/query?status=!closed&order=priority&report=9&keywords=~easy
— nojhan · 7 years ago
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Q: What is a bug or issue with Evolving Objects that you've been putting off, neglecting, or just plain avoiding?
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0Add metadata in the classes code
In EO, most of the classes comes from the scientific litterature, but nobody has taken care of noting from where.
We would want to get thoses informations at runtime, by adding metadata members.
Corresponding ticket: https://sourceforge.net/apps/trac/eodev/ticket/12
— nojhan · 7 years ago
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About Evolving Objects
EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast.
Evolutionary algorithms forms a family of algorithms inspired by the theory of evolution, that solve various problems. They evolve a set of solutions to a given problem, in order to produce the best results. These are stochastic algorithms, because they iteratively use random processes. The vast majority of these methods are used to solve optimization problems, and may be also called "metaheuristics". They are also ranked among computational intelligence methods, a domain close to artificial intelligence.
With the help of EO, you can easily design evolutionary algorithms that will find solutions to virtually all kind of hard optimization problems, from continuous to combinatorial ones.
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