Category Archives: Estimation of distribution algorithms

Yet Another cGA Implementation, Now in Haskell.

A year ago, I mentioned that I always write a cGA implementation when I learn a new language. Then, I was trying to get back to fluent in Haskell. A couple of days ago, Martin Pelikan just did the same

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cGA, Parallelism, Processes, and Erlang

Back in Fall 2006 I was lucky to be at the right place, at the right time. Kumara Sastry and David E. Goldberg were working to pulverize some preconceptions about how far you could scale genetic algorithms. As I said,

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Yet Another cGA Implementation, Now in Erlang.

Wanna have some Sunday afternoon fun? Just refresh your Erlang skills. Since this is me having fun, what better way to do so than to write yet another implementation of the compact Genetic Algorithm originally (cGA) proposed by Georges Harik?

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Parallel and Distributed Computational Intelligence book is out for pre-order

“Parallel and Distributed Computational Intelligence” edited by Francisco Fernández de Vega & Erick Cantú-Paz and published by Springer is out for pre-order. The first chapter “When Huge is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing”

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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). […]

Related posts:

  1. Scaling Genetic Algorithms using MapReduce
  2. Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre
  3. Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

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Posted in Data-Intensive Computing, eCGA, Estimation of distribution algorithms, hadoop, map-reduce, mongodb, pro, Research, Software | Comments Off on Scaling eCGA Model Building via Data-Intensive Computing

New MEDAL reports available online

We are pleased to announce the following MEDAL technical reports:
MEDAL Report No. 2010005
Loopy Substructural Local Search for the Bayesian Optimization Algorithm
Claudio F. Lima, Martin Pelikan, Fernando G. Lobo, and David E. Goldberg (2010)
[Abstract] [Download PDF]
MEDAL Report No. 2010004
Model Accuracy in the Bayesian Optimization Algorithm
Claudio F. Lima, Fernando G. Lobo, Martin Pelikan, and David E. […] Continue reading

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Not your grandmother’s genetic algorithm!

The video of David E. Goldberg’s talk on genetic algorithms entitled Not your Grandmother’s Genetic Algorithm is available on youtube.com. The talk covers topics from the simple genetic algorithm to advanced estimation of distribution algorithms, scalability theory of genetic algorithms and practical solutions to noisy problems of over one billion variables. An amazing lecture, and […] Continue reading

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Optimization by Building and Using Probabilistic Models (OBUPM-2010) Workshop

The workshop Optimization by Building and Using Probabilistic Models (OBUPM-2010) will take place at the Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, OR. OBUPM-2010 is organized by Mark Hauschild and Martin Pelikan.
We look forward to seeing you there and invite submission of papers for the workshop. The deadline for paper submission is March 25, […] Continue reading

Posted in ACM SIGEVO, announcements, Estimation of distribution algorithms, evolutionary computation, gecco-2010, obupm-2010 | Comments Off on Optimization by Building and Using Probabilistic Models (OBUPM-2010) Workshop

GECCO 2010 Submission Deadline (Extended)

If you are planning to submit a paper for the 2010 Genetic and Evolutionary Computation Conference, the deadline is January 13, 2010 (and now extended to January 27th). You can find more information at the GECCO 2010 calendar site. Related posts:GECCO 2009 paper submission deadline extended till January 28 GECCO 2007 deadline extended GECCO-2006 submissions […]

Related posts:

  1. GECCO 2009 paper submission deadline extended till January 28
  2. GECCO 2007 deadline extended
  3. GECCO-2006 submissions deadline extended to February 1st

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Posted in Estimation of distribution algorithms, GECCO, Human-Computer Interaction, Learning classifier systems, Research | Comments Off on GECCO 2010 Submission Deadline (Extended)

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 […]

Related posts:

  1. Scaling eCGA Model Building via Data-Intensive Computing
  2. Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre
  3. Data-Intensive Computing for Competent Genetic Algorithms: A Pilot Study using Meandre

Continue reading

Posted in Conferences, Data-Intensive Computing, Estimation of distribution algorithms, Genetic algorithms, hadoop, map-reduce, Publications, Research, Technical Reports | Comments Off on Scaling Genetic Algorithms using MapReduce