Hi,

Thank you Nicolas and Anne for the hints/links

@Alex
Yes, genetic algorithms are “abstract” algorithms. I am actually talking about analysing the code of the frameworks for developing different genetic algorithms to solve all kinds of optimisation problems (knapsack, Traveling Salesman Problem but also “real life" problems : image processing, and many artificial intelligence problems)

There are many GA frameworks. Some popular ones are : ECJ (https://cs.gmu.edu/~eclab/projects/ecj/), OpenBeagle (http://vision.gel.ulaval.ca/~parizeau/Publications/beagle-gecco.pdf), WatchMaker (http://watchmaker.uncommons.org/), HeuristicLab (http://dev.heuristiclab.com/)…

AbdelghaniMessage: 4
Date: Thu, 16 Feb 2017 11:02:44 -0300
From: Alexandre Bergel <alexandre.bergel@me.com>
To: Moose-related development <moose-dev@list.inf.unibe.ch>
Subject: [Moose-dev] Re: software reingineering guidelines
Message-ID: <9D54173C-8CD7-4873-A5F9-AC0EF570EAB2@me.com>
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Ah ah! Sorry, I read too fast!

But it is not clear what are you referring to when you mention “generic algorithm”? Can you give an example?

Alexandre