Relevant publications


C. Echegoyen, A. Mendiburu, R. Santana and J. A. Lozano. Towards understanding EDAs based on Bayesian networks through a quantitative analysis. IEEE Transactions on Evolutionary Computation. 2013. In Press.

S. Shakya and  R. Santana. (Eds.). Markov Networks in Evolutionary Algorithms. Adaptation, Learning and Optimization series. Vol. 14. Springer.  2012.

S. Shakya, R. Santana,  and  J. A. Lozano.  A Markovianity based Optimisation Algorithm. Genetic Programming and Evolvable Machines. Springer.  2012. In Press.

R. Santana,  C. Bielza,  and  P. Larrañaga.   Optimizing brain networks topologies using multi-objective evolutionary computation. Neuroinformatics. Vol. 9. No. 1. Pp. 3-19. 2011.

L. Lozada-Chang and R. Santana. Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints Information Sciences. Vol. 181. Pp. 2340-2355. 2011.

R. Santana, A. Mendiburu, N.Zaitlen, E. Eskin and J. A. Lozano. Multi-marker tagging SNP selection using estimation of distribution algorithms. Artificial Intelligence in Medicine.  Vol. 5 No. 3. Pp. 193-201. 2010.

R.Santana, P. Larrañaga, and J. A. Lozano. Learning factorizations in estimation of distribution algorithms using affinity propagation.   Evolutionary Computation. Vol. 18. No. 4. Pp. 515-546. 2010

R. Santana, P. Larrañaga, and J. A. Lozano. Research topics in discrete estimation of distribution algorithms.   Memetic Computing. Vol 1. No. 1. Pp. 35-54. 2009.  

R. Armañanzas, I. Inza, R. Santana, Y. Saeys, J. L. Flores, J. A. Lozano, Y. Van de Peer, R. Blanco, V. Robles, C. Bielza and P. Larrañaga. A review of estimation of distribution algorithms in bioinformatics.   BioData Mining. 1:6. 2008.  

R.Santana, P. Larrañaga, and J. A. Lozano. Protein folding in simplified models with  estimation of distribution algorithms.   IEEE Transactions on Evolutionary Computation. Vol. 12. No. 4. Pp. 418-438. 2008 

R. Santana, J. A. Lozano and P. Larrañaga. Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem. Journal of Heuristics. Vol. 14. Pp 519-547. 2007.  

R. Santana, P. Larrañaga, and J. A. Lozano. Side chain placement using estimation of distribution algorithms. Artificial Intelligence in Medicine. 39(1). 2007. Pp. 49-63.

P. Larrañaga, B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armañanzas, G. Santafé, A. Pérez and V. Robles. Machine learning in Bioinformatics. Briefings in Bioinformatics. 7. 2006. Pp. 86-112.

R. Santana. Estimation of distribution algorithms with Kikuchi approximations. Evolutionary Computation, 13(1):67-97, 2005.

Y. M. Alvarez-Ginarte, R. Crespo, L. A. Montero-Cabrera, J. A. Ruiz-García, Y. M. Ponce, R. Santana, E. Pardillo-Fontdevila, and E. Alonso-Becerra. A novel in-silico approach for QSAR studies of anabolic and androgenic activities in the 17-hydroxy-5-androstane steroid family. QSAR & Combinatorial Science, 4:218-226. 2005.