PEDRO MARIA
LARRAÑAGA MUGICA
Investigador/a en el periodo 2004-2008
ROBERTO
SANTANA HERMIDA
INVESTIGADOR/A DOCTOR/A PERMANENTE
Publicaciones en las que colabora con ROBERTO SANTANA HERMIDA (38)
2014
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Multiobjective estimation of distribution algorithm based on joint modeling of objectives and variables
IEEE Transactions on Evolutionary Computation, Vol. 18, Núm. 4, pp. 519-542
2013
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A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences, Vol. 233, pp. 109-125
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Classification of neocortical interneurons using affinity propagation
Frontiers in Neural Circuits, Vol. 7, Núm. DEC
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Regularized continuous estimation of distribution algorithms
Applied Soft Computing Journal, Vol. 13, Núm. 5, pp. 2412-2432
2012
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A review on probabilistic graphical models in evolutionary computation
Journal of Heuristics, Vol. 18, Núm. 5, pp. 795-819
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Continuous estimation of distribution algorithms based on factorized Gaussian Markov networks
Adaptation, Learning, and Optimization, Vol. 14, Núm. 1, pp. 157-173
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Maximizing the Number of Polychronous Groups in Spiking Networks
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12)
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Maximizing the number of polychronous groups in spiking networks
GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
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Regularized logistic regression and multiobjective variable selection for classifying MEG data
Biological Cybernetics, Vol. 106, Núm. 6-7, pp. 389-405
2011
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Affinity Propagation Enhanced by Estimation of Distribution Algorithms
GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
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Affinity propagation enhanced by estimation of distribution algorithms
Genetic and Evolutionary Computation Conference, GECCO'11
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Multi-objective optimization with joint probabilistic modeling of objectives and variables
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Optimizing brain networks topologies using multi-objective evolutionary computation
Neuroinformatics, Vol. 9, Núm. 1, pp. 3-19
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Quantitative genetics in multi-objective optimization algorithms: From useful insights to effective methods
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
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Regularized k-order Markov models in EDAs
Genetic and Evolutionary Computation Conference, GECCO'11
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Regularized k-order Markov models in EDAs
GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
2010
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Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
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Learning factorizations in estimation of distribution algorithms using affinity propagation
Evolutionary Computation, Vol. 18, Núm. 4, pp. 515-546
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Mateda-2.0: Estimation of distribution algorithms in MATLAB
Journal of Statistical Software, Vol. 35, Núm. 7, pp. 1-30
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Synergies between network-based representation and probabilistic graphical models for classification, inference and optimization problems in neuroscience
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)