Hi
Im a PhD student on AI and adaptive systems, I have been working on
evolutionary algorithms for the last 4 years. I implemented my own Aritifial
Immune System with Matlab and as a Java extension to Yale, I also worked with a
C++ framework for multi-objective optimization.
My project is to build a classification genetic algorithm in Mahoot.
I've already done some research and found the following paper
Discovering Comprehensible Classification Rules with a Genetic Algorithm
its a Genetic Algorithm for binary classification. The fitness function (that
iterates over all the training dataset) can benefit from the Map-Reduce model
of Hadoop.
I plan to use some an existing open source framework for the genetic algorithm,
the framework should take care of all tha GA stuff, and I will be left with:
. the representation of individuals, as described in the article
. the fitness function that uses Hadoop
This algorithm can also be adapted to work with more than two classes...but
that's another story
What do you think about it ?
Abdel Hakim Deneche
Mentouri Unversity of Constantine, Algeria
_____________________________________________________________________________
Envoyez avec Yahoo! Mail. Capacité de stockage illimitée pour vos emails.
http://mail.yahoo.fr
