Roberto Santana publications

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2013

“Regularized Continuous Estimation of Distribution Algorithms”
by H. Karshenas, R. Santana, C. Bielza, and P. Larrañaga.
Applied Soft Computing, 2013. Accepted for publication.
Details.

On the Taxonomy of Optimization Problems under Estimation of Distribution Algorithms
by C. Echegoyen, A. Mendiburu, R. Santana, and J. A. Lozano.
Evolutionary Computation, 2013.
Details.

“Network measures for information extraction in evolutionary algorithms”
by R. Santana, R. Armañanzas, C. Bielza, and P. Larrañaga.
International Journal of Computational Intelligence Systems, 2013.
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“A Review on Evolutionary Algorithms in Bayesian Network Learning and Inference Tasks”
by P. Larrañaga, H. Karshenas, C. Bielza, and R. Santana.
Information Sciences, 2013.
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2012

MOA - Markovian Optimisation Algorithm
by S. Shakya and R. Santana.
In Markov Networks in Evolutionary Computation, (S. Shakya and R. Santana, eds.), 2012, pp. 39-53.
Details.

Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis
by C. Echegoyen, A. Mendiburu, R. Santana, and J. A. Lozano.
IEEE Transactions on Evolutionary Computation, vol. 16, no. 2, 2012, pp. 173-189.
Details.

Structural transfer using EDAs: An application to multi-marker tagging SNP selection
by Roberto Santana, A. Mendiburu, and J. A. Lozano.
In Proceedings of the 2012 Congress on Evolutionary Computation CEC-2012, (Brisbane, Australia), 2012, pp. 3484-3491.
Details.

Regularized logistic regression and multi-objective variable selection for classifying MEG data
by R. Santana, C. Bielza, and P. Larrañaga.
Biological Cybernetics, vol. 106, no. 6-7, 2012, pp. 389-405.
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Probabilistic Graphical Models and Markov Networks
by R. Santana and S. Shakya.
In Markov Networks in Evolutionary Computation, (S. Shakya and R. Santana, eds.), 2012, pp. 3-19.
Details.

“Multi-objective optimization based on joint probabilistic modeling of objectives and variables”
by H. Karshenas, R. Santana, C. Bielza, and P. Larrañaga, Department of Artificial Intelligence, Faculty of Informatics.
Technical University of Madrid technical report UPM-FI/DIA/2012-2, 2012.
Details. Download:PDF.

Maximizing the number of polychronous groups in spiking networks
by R. Santana, C. Bielza, and P. Larrañaga.
In Companion Proceedings of the 2012 Genetic and Evolutionary Computation Conference GECCO-2012, (Philadelphia, US), 2012, pp. 1499-1500.
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MN-EDA and the Use of Clique-Based Factorisations in EDAs
by R. Santana.
In Markov Networks in Evolutionary Computation, (S. Shakya and R. Santana, eds.), 2012, pp. 73-87.
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Introducing the use of model-based evolutionary algorithms for EEG-based motor imagery classification
by R. Santana, L. Bonnet, J. Légeny, and A. Lécuyer.
In Proceedings of the 2012 Genetic and Evolutionary Computation Conference GECCO-2012, (Philadelphia, US), 2012, pp. 1159-1166.
Details.

Fast fitness improvements in Estimation of Distribution Algorithms using belief propagation
by A. Mendiburu, R. Santana, and J. A. Lozano.
In Markov Networks in Evolutionary Computation, (R. Santana and S. Shakya, eds.), 2012, pp. 141-155.
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Evolving NK-complexity for evolutionary solvers
by R. Santana, A. Mendiburu, and J. A. Lozano.
In Companion Proceedings of the 2012 Genetic and Evolutionary Computation Conference GECCO-2012, (Philadelphia, US), 2012, pp. 1473-1474.
Details.

Continuous estimation of distribution algorithms based on factorized Gaussian Markov networks
by H. Karshenas, R. Santana, C. Bielza, and P. Larrañaga.
In Markov Networks in Evolutionary Computation, (S. Shakya and R. Santana, eds.), 2012, pp. 157-173.
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Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models
by R. Santana, C. Bielza, and P. Larrañaga.
BMC Neuroscience, vol. 13, no. Suppl 1, 2012, BioMed Central.
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“Clases de equivalencia en algoritmos de estimación de distribuciones”
by C. Echegoyen, A. Mendiburu, R. Santana, and J. A. Lozano.
In Proceedings of the VIII Congreso Español sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados (MAEB-2012), (Albacete), 2012.
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An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data
by Roberto Santana, A. Mendiburu, and J. A. Lozano.
In Proceedings of the 2012 Congress on Evolutionary Computation CEC-2012, (Brisbane, Australia), 2012, pp. 3221-3228.
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A review on probabilistic graphical models in evolutionary computation
by P. Larrañaga, H. Karshenas, C. Bielza, and R. Santana.
Journal of Heuristics, vol. 18, no. 5, 2012, pp. 795-819.
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A Review of Estimation of Distribution Algorithms and Markov Networks
by S. Shakya and R. Santana.
In Markov Networks in Evolutionary Computation, (S. Shakya and R. Santana, eds.), 2012, pp. 21-37.
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A Markovianity based optimisation algorithm
by S. Shakya, R. Santana, and J. A. Lozano.
Genetic Programming and Evolvable Machines, vol. 13, no. 2, 2012, pp. 159-195.
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New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination
by R. Santana, A. Mendiburu, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-TR:2012-05, Dec. 2012.
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2011

Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints
by Li-vang Lozada-Chang and Roberto Santana.
Information Sciences, vol. 181, no. 11, 2011, pp. 2340-2355.
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Regularized k-order Markov models in EDAs
by R. Santana, H. Karshenas, C. Bielza, and P. Larrañaga.
In Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, (Dublin, Ireland), 2011, pp. 593-600.
Details.

Quantitative genetics in multi-objective optimization algorithms: From useful insights to effective methods
by R. Santana, H. Karshenas, C. Bielza, and P. Larrañaga.
In Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, (Dublin, Ireland), 2011, pp. 91-92.
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Optimizing brain networks topologies using multi-objective evolutionary computation
by Roberto Santana, C. Bielza, and P. Larrañaga.
Neuroinformatics, vol. 9, no. 1, 2011, pp. 3-19.
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On the limits of effectiveness in estimation of distribution algorithms
by C. Echegoyen, Q. Zhang, A. Mendiburu, R. Santana, and J. A. Lozano.
In Proceedings of the 2011 Congress on Evolutionary Computation CEC-2007, 2011, pp. 1573-1580.
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Multi-objective optimization with joint probabilistic modeling of objectives and variables
by H. Karshenas, R. Santana, C. Bielza, and P. Larrañaga.
In Evolutionary Multi-Criterion Optimization: Sixth International Conference, EMO 2011, 2011, pp. 298-312.
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Estimation of distribution algorithms: from available implementations to potential developments
by R. Santana.
In Companion proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, (Dublin, Ireland), 2011, pp. 679-686.
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“Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms networks”
by C. Echegoyen, Q. Zhang, A. Mendiburu, R. Santana, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA, 2011.
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“An ensemble of classifiers approach with multiple sources of information”
by R. Santana, C. Bielza, and P. Larrañaga.
In Proceedings of ICANN/PASCAL2 Challenge: MEG Mind Reading, (A. Klami, ed.), 2011, pp. 25-30.
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Affinity propagation enhanced by estimation of distribution algorithms
by R. Santana, C. Bielza, and P. Larrañaga.
In Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, (Dublin, Ireland), 2011, pp. 331-338.
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A direct optimization approach to the P300 speller
by R. Santana, S. Muelas, A. Latorre, and J. M. Peña.
In Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, (Dublin, Ireland), 2011, pp. 1747-1754.
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A differential evolution algorithm for the detection of synaptic vesicles
by A. LaTorre, S. Muelas, J.M. Pena, R. Santana, A. Merchan-Perez, and J.R. Rodriguez.
In Evolutionary Computation (CEC), 2011 IEEE Congress on, 2011, pp. 1687-1694, IEEE.
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“Regularized Model Learning in Estimation of Distribution Algorithms for Continuous Optimization Problems”
by H. Karshenas, R. Santana, C. Bielza, and P. Larrañaga, Department of Artificial Intelligence, Faculty of Informatics.
Technical University of Madrid technical report UPM-FI/DIA/2011-1, Jan. 2011.
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2010

Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms
by R. Santana, C. Bielza, P. Larrañaga, J. A. Lozano, C. Echegoyen, A. Mendiburu, R. Armañanzas, and S. Shakya.
Journal of Statistical Software, vol. 35, no. 7, 2010, pp. 1-30, American Statistical Association.
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Using probabilistic dependencies improves the search of conductance-based compartmental neuron models
by Roberto Santana, C. Bielza, and P. Larrañaga.
In Proceedings of the 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, (Clara Pizzuti, Marylyn D. Ritchie, and Mario Giacobini, eds.), 2010, pp. 170-181.
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Synergies between network-based representations and probabilistic graphical modeling in the solution of problems from neuroscience
by Roberto Santana, Concha Bielza, and Pedro Larrañaga.
In Proceedings of the Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, (N. Garca-Pedrajas et. al., ed.), (Córdoba, España), 2010, pp. 149-158.
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Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms
by R. Santana, A. Mendiburu, N. Zaitlen, E. Eskin, and J. A. Lozano.
Artificial Intelligence in Medicine, vol. 50, 2010, pp. 193-201.
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Learning factorizations in estimation of distribution algorithms using affinity propagation
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
Evolutionary Computation, vol. 18, no. 4, 2010, pp. 515-546.
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“Generación de matrices para evaluar el desempeño de estrategias de búsqueda de testores tpicos”
by Eduardo Alba-Cabrera and Roberto Santana.
Avances en Ciencias e Ingenieras, vol. 2, 2010, pp. A30-A35.
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Estimation of Bayesian networks algorithms in a class of complex networks
by C. Echegoyen, A. Mendiburu, R. Santana, and J. A. Lozano.
In Proceedings of the 2010 Congress on Evolutionary Computation CEC-2010, (Barcelone, Spain), 2010.
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Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms
by Alfredo Cuesta-Infante, Roberto Santana, J. Ignacio Hidalgo, Concha Bielza, and Pedro Larrañaga.
In Proceedings of the 2010 Congress on Evolutionary Computation CEC-2010, (Barcelone, Spain), 2010, pp. 1-8.
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Analyzing the k most probable solutions in EDAs based on Bayesian networks
by C. Echegoyen, A. Mendiburu, R. Santana, and J. A. Lozano.
In Exploitation of Linkage Learning in Evolutionary Algorithms, 2010, pp. 163-189.
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“Network measures for re-using problem information in EDAs”
by R. Santana, C. Bielza, and P. Larrañaga, Department of Artificial Intelligence, Faculty of Informatics.
Technical University of Madrid technical report UPM-FI/DIA/2010-3, June 2010.
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2009

Research topics on discrete estimation of distribution algorithms
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
Memetic Computing, vol. 1, no. 1, 2009, pp. 35-54.
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Mining probabilistic models learned by EDAs in the optimization of multi-objective problems
by Roberto Santana, C. Bielza, J. A. Lozano, and P. Larrañaga.
In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2009, (New York, NY, USA), 2009, pp. 445-452.
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“Estudio de la probabilidad del óptimo en EDAs basados en redes Bayesianas”
by C. Echegoyen, R. Santana, A. Mendiburu, and J. A. Lozano.
In Proceedings of the X Congreso Español sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados (MAEB-2009), 2009.
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Analyzing the probability of the optimum in EDAs based on Bayesian networks
by C. Echegoyen, A. Mendiburu, R. Santana, and J. A. Lozano.
In Proceedings of the 2009 Congress on Evolutionary Computation CEC-2009, (Norway), 2009, pp. 1652-1659.
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A quantitative analysis of estimation of distribution algorithms based on Bayesian networks
by C. Echegoyen, A. Mendiburu, R. Santana, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-IK-3, Oct. 2009.
Details.

“On the application of estimation of distribution algorithms to multi-marker tagging SNP selection”
by R. Santana, A. Mendiburu, N. Zaitlen, E. Eskin, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-IK-4/09, July 2009.
Details. Download:PDF.

MATEDA: A suite of EDA programs in Matlab
by R. Santana, C. Echegoyen, A. Mendiburu, C. Bielza, J. A. Lozano, P. Larrañaga, R. Armañanzas, and S. Shakya, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-IK-2/09, Feb. 2009.
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2008

The impact of probabilistic learning algorithms in EDAs based on Bayesian networks
by C. Echegoyen, R. Santana, J. A. Lozano, and P. Larrañaga.
In Linkage in Evolutionary Computation, 2008, pp. 109-139.
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Protein folding in simplified models with estimation of distribution algorithms
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
IEEE Transactions on Evolutionary Computation, vol. 12, no. 4, 2008, pp. 418-438.
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“Parameter estimation of diffusion processes using EDAs”
by Z. González-Arenas, J. C. Jiménez-Sobrino, L. Lozada-Chang, and R. Santana.
In Proceedings of VIII International Conference on Operations Research, (La Habana, Cuba), 2008.
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Component weighting functions for adaptive search with EDAs
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
In Proceedings of the 2008 Congress on Evolutionary Computation CEC-2008, (Hong Kong), 2008, pp. 4067-4074.
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Combining Variable Neighborhood Search and Estimation of Distribution Algorithms in the Protein Side Chain Placement Problem
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
Journal of Heuristics, vol. 14, 2008, pp. 519-547.
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An EDA based on local Markov property and Gibbs sampling
by Siddhartha Shakya and R. Santana.
In Proceedings of the 2008 Genetic and evolutionary computation conference (GECCO), (Maarten Keijzer, ed.), (New York, NY, USA), 2008, pp. 475-476.
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“An empirical analysis of loopy belief propagation in three topologies: Grids, small-world networks and random graphs”
by R. Santana, A. Mendiburu, and J. A. Lozano.
In Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM-2008), (Manfred Jaeger and Thomas D. Nielsen, eds.), 2008, pp. 249-256.
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Adding probabilistic dependencies to the search of protein side chain configurations using EDAs
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
In Parallel Problem Solving from Nature - PPSN X, (G. Rudolph, T. Jansen, S. Lucas, C. Poloni, and N. Beume, eds.), (Dortmund, Germany), 2008, pp. 1120-1129.
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Adaptive estimation of distribution algorithms
by Roberto Santana, Pedro Larrañaga, and J. A. Lozano.
In Adaptive and Multilevel Metaheuristics, vol. 136 of Studies in Computational Intelligence, (C. Cotta, M. Sevaux, and K. Sörensen, eds.), 2008, pp. 177-197.
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A review of estimation of distribution algorithms in bioinformatics
by Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, José L. Flores, José A. Lozano, Yves Van de Peer, Rosa Blanco, Vctor Robles, Concha Bielza, and Pedro Larrañaga.
BioData Mining, vol. 1, no. 6, 2008, pp. doi:10.1186/1756-0381-1-6.
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“Estimation of distribution algorithms with affinity propagation methods”
by Roberto Santana, P. Larrañaga, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-IK-1/08, Jan. 2008.
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2007

The role of a priori information in the minimization of contact potentials by means of estimation of distribution algorithms
by Roberto Santana, Pedro Larrañaga, and J. A. Lozano.
In Proceedings of the Fifth European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, (E. Marchiori, J. H. Moore, and J. C. Rajapakse, eds.), (Valencia, Spain), 2007, pp. 247-257.
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Side Chain Placement Using Estimation of Distribution Algorithms
by R. Santana, P. Larrañaga, and J. A. Lozano.
Artificial Intelligence in Medicine, vol. 39, no. 1, 2007, pp. 49-63.
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Exact Bayesian network learning in estimation of distribution algorithms
by C. Echegoyen, J. A. Lozano, R. Santana, and P. Larrañaga.
In Proceedings of the 2007 Congress on Evolutionary Computation CEC-2007, 2007, pp. 1051-1058.
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“Aprendizaje exacto de redes Bayesianas en algoritmos de estimación de distribuciones”
by C. Echegoyen, R. Santana, and J. A. Lozano.
In Actas de las Jornadas de Algoritmos Evolutivos y Metaheursticas (JAEM I), (E. Alba, F. Chicano, F. Herrera, F. Luna, G. Luque, and A. J. Nebro, eds.), 2007, pp. 277-284.
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“Algoritmos de Estimación de Distribuciones para el problema de la determinación de la cadena lateral de una protena”
by Roberto Santana, and J. A. Lozano, and P. Larrañaga.
In Memorias del V Congreso Español de Algoritmos Evolutivos y Bioinspirados, (Tenerife, Spain), 2007, pp. 663-670.
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A parallel framework for loopy belief propagation
by A. Mendiburu, R. Santana, E. Bengoetxea, and J. Lozano.
In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2007, (D. Thierens et al., ed.), (London, UK), 2007, pp. 2843-2850. Companion material.
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“Optimization by max-propagation using {Kikuchi approximations}”
by R. Höns, Roberto Santana, P. Larrañaga, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-IK-2/07, Nov. 2007.
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“Introducing belief propagation in estimation of distribution algorithms: A parallel framework”
by A. Mendiburu, R. Santana, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KAT-IK-11/07, Oct. 2007.
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“Challenges and open problems in discrete EDAs”
by Roberto Santana, P. Larrañaga, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-IK-1/07, Oct. 2007.
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2006

Mixtures of Kikuchi approximations
by Roberto Santana, Pedro Larrañaga, and J. A. Lozano.
In Proceedings of the 17th European Conference on Machine Learning: ECML 2006, (Johannes Fürnkranz, Tobias Scheffer, and Myra Spiliopoulou, eds.), 2006, pp. 365-376.
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Machine learning in bioinformatics
by P. Larrañaga, B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armañanzas, G. Santafé, A. Pérez, and V. Robles.
Briefings in Bioinformatics, vol. 7, 2006, pp. 86-112.
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“Advances in Probabilistic Graphical Models for Optimization and Learning. Applications in Protein Modelling”
by R. Santana.
Ph.D. dissertation, University of the Basque Country, 2006.
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2005

Estimation of distribution algorithms with Kikuchi approximations
by R. Santana.
Evolutionary Computation, vol. 13, no. 1, 2005, pp. 67-97.
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“Protein structure prediction in simplified models with estimation of distribution algorithms”
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
In Proceedings of the IV Congreso Español sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados (MAEB-2005), (Granada, Spain), 2005, pp. 245-252.
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Interactions and dependencies in estimation of distribution algorithms
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
In Proceedings of the 2005 Congress on Evolutionary Computation CEC-2005, (Edinburgh, U.K.), 2005, pp. 1418-1425.
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“Aprendizaje y muestreo de la aproximación Kikuchi”
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
In Proceedings of the III Taller Nacional de Minera de Datos y Aprendizaje (TAMIDA-2005), (Granada, Spain), 2005, pp. 97-105.
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A novel in-silico approach for QSAR Studies of Anabolic and Androgenic Activities in the 17-hydroxy-5-androstane Steroid Family
by Yoanna Mara Alvarez-Ginarte, Rachel Crespo, Luis Alberto Montero-Cabrera, José Alberto Ruiz-Garcia, Yovani Marrero Ponce, Roberto Santana, Eladio Pardillo-Fontdevila, and Esther Alonso-Becerra.
QSAR & Combinatorial Science, vol. 24, 2005, pp. 218-226.
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“Properties of Kikuchi approximations constructed from clique based decompositions”
by Roberto Santana, P. Larrañaga, and J. A. Lozano, Department of Computer Science and Artificial Intelligence.
University of the Basque Country technical report EHU-KZAA-IK-2/05, Apr. 2005.
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2004

“Uso de algorithmos evolutivos con estimación de distribuciones en la solución de problemas enteros”
by L. M. Rodrguez-Ojea, R. Santana, and M. R. Soto.
In Proceedings of the International Conference INFORMATICA-2004, (La Habana, Cuba), 2004.
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Protein folding in 2-dimensional lattices with estimation of distribution algorithms
by Roberto Santana, P. Larrañaga, and J. A. Lozano.
In Proceedings of the First International Symposium on Biological and Medical Data Analysis, (Barcelona), 2004, pp. 388-398.
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“Modelación probabilstica basada en modelos gráficos no dirigidos en Algoritmos Evolutivos con Estimación de Distribuciones”
by Roberto Santana.
Ph.D. dissertation, Instituto de Cibernética, Matemática y Fsica, 2004.
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2003

“MCMC in the approximation and optimization of additive functions: A preliminary study” by Roberto Santana, Institute of Cybernetics, Mathematics and Physics (Havana, Cuba), 2003. Unpublished manuscript.
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“Study of neighborhood search operators for unitation functions”
by R. Santana.
In Proceedings of the 17th European Simulation Multiconference ESM-2003, (Nottingham, England), 2003, pp. 272-277.
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“Probabilistic modeling based on undirected graphs in Estimation Distribution Algorithms”
by Roberto Santana.
Ph.D. dissertation, Institute of Cybernetics, Mathematics, and Physics (ICIMAF), 2003. Unpublished document.
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“Factorized Distribution Algorithms: Selection without selected population”
by R. Santana.
In Proceedings of the 17th European Simulation Multiconference ESM-2003, (Nottingham, England), 2003, pp. 91-97.
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“Exact Gibbs sampling in optimization”
by R. Santana.
In Proceedings of the Conference of Cuban Society of Computer Science and Mathematics COMPUMAT-2003, (Sancti Spiritus, Cuba), 2003.
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“Automatic construction of valid region based decompositions of graphs”
by R. Santana.
In Proceedings of the Conference of Cuban Society of Computer Science and Mathematics COMPUMAT-2003, (Sancti Spiritus, Cuba), 2003.
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A Markov network based factorized distribution algorithm for optimization
by Roberto Santana.
In Proceedings of the 14th European Conference on Machine Learning (ECML-PKDD 2003), (Dubrovnik, Croatia), 2003, pp. 337-348.
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“UMDA dynamics for a class of parametric functions”
by Livang Lozada and Roberto Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2003-239, (Havana, Cuba), Sep. 2003.
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“Factorized Distribution Algorithms: selection without selected population”
by Roberto Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2003-240, (Havana, Cuba), Sep. 2003.
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“Estimation of Distribution Algorithms with Kikuchi approximations: Part I”
by Roberto Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2003-242, (Havana, Cuba), Sep. 2003.
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“Estimation of Distribution Algorithms with Kikuchi approximations: Part II”
by Roberto Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2003, (Havana, Cuba), Sep. 2003.
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2002

“Solving problems with integer representation using a tree based factorized distribution algorithm”
by R. Santana, A. Ochoa, and M. R. Soto.
In Electronic Proceedings of the First International NAISO Congress on Neuro Fuzzy Technologies, 2002.
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“Blocked Stochastic Sampling versus Estimation of Distribution Algorithms”
by R. Santana and H. Mühlenbein.
In Proceedings of the 2002 Congress on Evolutionary Computation CEC-2002, 2002, pp. 1390-1395.
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“Study of neighborhood search operators for unitation functions”
by Roberto Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2002-185, (Havana, Cuba), Mar. 2002.
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“An analysis of the performance of the mixture of trees factorized distribution algorithm when priors and adaptive learning are used”
by Roberto Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2002-180, (Havana, Cuba), Mar. 2002.
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2001

“The mixture of trees factorized distribution algorithm”
by R. Santana, A. Ochoa, and M. R. Soto.
In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001, (L. Spector, E. Goodman, A. Wu, W.B. Langdon, H.M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. Garzon, and E. Burke, eds.), ( San Francisco, CA), 2001, pp. 543-550.
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“On the use of Factorized Distribution Algorithms for problems defined on graphs”
by Roberto Santana, Alberto Ochoa, and Marta R. Soto.
In Electronic Notes in Discrete Mathematics, (Hajo Broersma, Ulrich Faigle, Johann Hurink, and Stefan Pickl, eds.), 2001.
Details.

“On the use of Polytrees in Evolutionary Computation”
by Marta Rosa Soto, Alberto Ochoa, and Roberto Santana.
Investigación Operacional, vol. 22, no. 3, 2001, pp. 132-138.
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“A Factorized Distribution Algorithm for problems with integer representation”
by R. Santana, A. Ochoa, and M. R. Soto.
In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001, (L. Spector, E. Goodman, A. Wu, W.B. Langdon, H.M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. Garzon, and E. Burke, eds.), ( San Francisco, CA), 2001.
Details. Download:PostScript.

“Factorized Distribution Algorithms for functions with unitation constraints”
by R. Santana, A. Ochoa, and M. R. Soto.
In Evolutionary Computation and Probabilistic Graphical Models. Proceedings of the Third Symposium on Adaptive Systems (ISAS-2001), (Havana, Cuba), Mar. 2001, pp. 158-165.
Details.

“The mixture of trees factorized distribution algorithm”
by R. Santana, A. Ochoa, and M. R. Soto, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2000-129, (Havana, Cuba), Jan. 2001.
Details.

“Generating test matrices to evaluate the performance of strategies to search typical testors”
by Roberto Santana and Eduardo Alba, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2000-130, (Havana, Cuba), Jan. 2001.
Details. Download:PostScript.

2000

“Too Busy to Learn”
by Francisco B. Pereira, Penousal Machado, Ernesto Costa, Amlcar Cardoso, Alberto Ochoa, Roberto Santana, and Marta Rosa Soto.
In Colectânea de Comunicacões, (Instituto Politécnico de Coimbra), 2000, pp. 699-712.
Details. Download:PDF.

“Finding typical testors by using an evolutionary strategy ”
by Eduardo Alba-Cabrera, Roberto Santana, Alberto Ochoa, and Manuel Lazo-Cortés.
In Proceedings of the Fith Ibero American Symposium on Pattern Recognition, (Lisbon, Portugal), 2000, pp. 267-278.
Details. Download:PostScript.

“A Factorized Distribution Algorithm of bounded complexity for integer problems”
by R. Santana, A. Ochoa, and M. R. Soto, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2000-, CENIA 2000-, (Havana, Cuba), Dec. 2000.
Details. Download:PostScript.

“Too busy to learn”
by Francisco B. Pereira, Penousal Machado, Ernesto Costa, Amlcar Cardoso, Alberto Ochoa, Roberto Santana, and Marta Rosa Soto.
In Proceedings of the 2000 Congress on Evolutionary Computation CEC-2000, (La Jolla Marriott Hotel La Jolla, California, USA), July 2000, pp. 720-727.
Details.

“Probabilistic Evolution and the Busy Beaver Problem”
by Roberto Santana, Francisco B. Pereira, Ernesto Costa, Alberto Ochoa, Penousal Machado, Amilcar Cardoso, and Marta Rosa Soto.
In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2000, (Las Vegas, Nevada, USA), July 2000.
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“Probabilistic Evolution and the busy beaver Problem”
by Roberto Santana, Francisco B. Pereira, Ernesto Costa, Alberto Ochoa, Penousal Machado, Amilcar Cardoso, and Marta Rosa Soto.
In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference GECCO-2000, (Darrell Whitley, ed.), (Las Vegas, Nevada, USA), 8 July 2000, pp. 261-268.
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“Design of an algorithm based on the estimation of distributions to generate new rules in the XCS classifier system”
by J. P. Rivera and R. Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 2000-100, CEMAFIT 2000-78, (Havana, Cuba), June 2000.
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1999

“Towards an intelligent genetic search: Defining measures of convergence”
by R. Santana.
In Proceedings of the students sessions, ACAI'99, (Chania, Greece), 1999, pp. 41-42.
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“On Estimation Distribution Algorithms”
by R. Santana and A. Ochoa.
In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-1999, Workshop Program, (Wu A. S., ed.), (Orlando, FL), 1999.
Details. Download:PDF.

“Improving the discovery component of classifier systems by the application of estimation of distribution algorithms”
by J. P. Rivera and R. Santana.
In Proceedings of the students sessions, ACAI'99, (Chania, Greece), 1999, pp. 43-44.
Details. Download:PDF.

“Evolutionary Algorithms for Dynamic Optimization Problems: An approach using Evolutionary Theory and the Incident Edge Model”
by R. Santana, A. Ochoa, and M. R. Soto.
In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-1999, Workshop Program, (A. S. Wu, ed.), (Orlando, FL), 1999, pp. 149-152.
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“Estructuras gráficas simples para algoritmos evolutivos”
by M. R. Soto, A. Ochoa, J. Madera, and R. Santana.
In Proceedings of the Segundo Encuentro Nacional de Computacionón ENC-99, (Pachuca, México), 1999, pp. 79-84.
Details.

“A Constraint Univariate Marginal Distribution Algorithm”
by R. Santana and A. Ochoa, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 99-76, CENIA 99-04, (Havana, Cuba), 1999.
Details. Download:PDF.

“A hybrid genetic algorithm for a Hamiltonian path problem”
by E. Ponce de León and R. Santana.
Revista Investigación Operacional, vol. 20, no. 1, 1999, pp. 20-29, Universidad de la Habana.
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“The incident edge model”
by R. Santana, E. Ponce de León, and A. Ochoa.
In Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), (A. Ochoa, M. R. Soto, and R. Santana, eds.), (Havana, Cuba), Mar. 1999, pp. 352-359.
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“The Factorized Distribution Algorithm and the Junction Tree: A Learning Perspective”
by A. Ochoa, M. R. Soto, R. Santana, J. Madera, and N. Jorge.
In Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), (A. Ochoa, M. R. Soto, and R. Santana, eds.), (Havana, Cuba), Mar. 1999, pp. 368-377.
Details. Download:PDF.

“Dealing with constraints with estimation of distribution algorithms: The univariate case”
by R. Santana and A. Ochoa.
In Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), (A. Ochoa, M. R. Soto, and R. Santana, eds.), (Havana, Cuba), Mar. 1999, pp. 378-384.
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1998

“Defining families of functions to be used in the search of different structures on graphs”
by R. Santana and E. Ponce de León.
In Proceedings of the IX Congreso Iberoamericano de Investigación Operativa, 1998.
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“An evolutionary optimization approach for detecting structures on graphs”
by R. Santana and E. Ponce de León.
In Smart Engineering System Design: Neural Network, Fuzzy Logic, Rough Sets and Evolutionary Programming, (Dagli, Akay, Buczac, Ersoy, and Fernandez, eds.), 1998, pp. 371-376.
Details. Download:PDF.

“A conceptual model for detecting structures in graphs using evolutionary optimization algorithms”
by R. Santana and E. Ponce de León, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 98-69, CENIA 98-03, (Havana, Cuba), Dec. 1998.
Details.

1997

“Algoritmos Genéticos y el problema del teñido de telas en la Industria Textil”
by E. Ponce de León, R. Santana, and F. Maldonado.
Revista Latinoamericana de Tecnologa Textil, vol. 1, no. 8, 1997, pp. 49-58. In Spanish.
Details. Download:PDF.

A Genetic Algorithm for a Hamiltonian Path Problem
by E. Ponce de León, A. Ochoa, and R. Santana.
In Proceedings of the X International Conference on Industrial and Engineering Applications of AI and Expert Systems, (Atlanta. USA), 1997, pp. 13-19.
Details. Download:PDF.

“A genetic algorithm for a Hamiltonian path problem: Mutation - crossover interaction”
by E. Ponce de León, R. Santana, and A. Ochoa.
In Proceedings of the 13th ISPE/IEE International Conference on CAD/CAM Robotics and Factories of the Future 97, (Universidad Tecnológica de Pereira, Colombia), Dec. 1997, pp. 1001-1006.
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“Análisis de una familia de algoritmos genéticos para un problema de secuencias en el teñido de telas”
by E. Ponce de León, R. Santana, I. Brito, and F. Maldonado.
In Memorias del Encuentro Latino Iberoamericano de Optimización, I ELIO. Congreso Chileno de Investigación Operativa OPTIMA 97., (University of Conception, Chile), November 3-6 1997. In Spanish.
Details.

“A genetic algorithm and a local search procedure for a Hamiltonian path problem”
by E. Ponce de León and R. Santana.
In Memorias del Encuentro Latino Iberoamericano de Optimización, I ELIO. Congreso Chileno de Investigación Operativa OPTIMA 97., (University of Conception, Chile), November 3-6 1997, pp. 226-232.
Details. Download:PDF.

“Algoritmos Genéticos y el problema del teñido de telas en la Industria Textil”
by E. Ponce de León, R. Santana, and F. Maldonado.
In Proceedings of the First Symposium on Artificial Intelligence (CIMAF-97), (Havana, Cuba), Mar. 1997, pp. 18-28. In Spanish.
Details.

“A hybrid genetic algorithm for a Hamiltonian path problem”
by R. Santana and E. Ponce de León.
In Proceedings of the First Symposium on Artificial Intelligence (CIMAF-97), (Havana, Cuba), Mar. 1997, pp. 126-132.
Details.

1996

“A genetic algorithm for a Hamiltonian path problem”
by E. Ponce de León, A. Ochoa, and R. Santana, Institute of Cybernetics.
Mathematics and Physics technical report ICIMAF 96-01, CENIA 95-01, (Havana, Cuba), Sep. 1996.
Details.

“Algoritmos Genéticos para un problema de caminos Hamiltonianos”
by Roberto Santana, Diplomma Thesis, Department of Computer Science, University of Havana.
June 1996. In Spanish.
Details.


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