Scaling eCGA Model Building via Data-Intensive Computing

I just uploaded the technical report of the paper we put together for CEC 2010 on how we can scale up eCGA using a MapReduce approach. The paper, besides exploring the Hadoop implementation, it also presents some very compelling results obtained with MongoDB (a document based store able to perform parallel MapReduce tasks via sharding). […]

Scaling Genetic Algorithms using MapReduce

Below you may find the abstract to and the link to the technical report of the paper entitled “Scaling Genetic Algorithms using MapReduce” that will be presented at the Ninth International Conference on Intelligent Systems Design and Applications (ISDA) 2009 by Verma, A., Llorà, X., Campbell, R.H., Goldberg, D.E. next month. Abstract:Genetic algorithms(GAs) are increasingly […]

Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

Below you may find the slides I used during GECCO 2009 to present the paper titled “Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre”. An early preprint in form of technical report can be found as an IlliGAL TR No. 2009001 or the full paper at the ACM digital library

GECCO 2007 Hat Trick

Yup, never happened to me before. In John Koza’s words: Hat Trick, best paper in EDA track and two Bronze medals in the HUMIES competition. I just think that I was lucky and blessed to have the pleasure to work with such great people. It would not have happened if it wasn’t for them. Below […]