Roberto Santana Group publications by topic

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Contents:

EDAs

Dealing with constraints with estimation of distribution algorithms: The univariate case (Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), 1999)

The Factorized Distribution Algorithm and the Junction Tree: A Learning Perspective (Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), 1999)

The incident edge model (Proceedings of the Second Symposium on Artificial Intelligence (CIMAF-99), 1999)

A Constraint Univariate Marginal Distribution Algorithm (TR, 1999)

Estructuras gráficas simples para algoritmos evolutivos (Proceedings of the Segundo Encuentro Nacional de Computacionón ENC-99, 1999)

Evolutionary Algorithms for Dynamic Optimization Problems: An approach using Evolutionary Theory and the Incident Edge Model (Proceedings of the Genetic and Evolutionary Computation Conference GECCO-1999, Workshop Program, 1999)

Improving the discovery component of classifier systems by the application of estimation of distribution algorithms (Proceedings of the students sessions, ACAI'99, 1999)

On Estimation Distribution Algorithms (Proceedings of the Genetic and Evolutionary Computation Conference GECCO-1999, Workshop Program, 1999)

Towards an intelligent genetic search: Defining measures of convergence (Proceedings of the students sessions, ACAI'99, 1999)

Design of an algorithm based on the estimation of distributions to generate new rules in the XCS classifier system (TR, 2000)

Probabilistic Evolution and the busy beaver Problem (Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference GECCO-2000, 2000)

Probabilistic Evolution and the Busy Beaver Problem (Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2000, 2000)

A Factorized Distribution Algorithm of bounded complexity for integer problems (TR, 2000)

The mixture of trees factorized distribution algorithm (TR, 2001)

Factorized Distribution Algorithms for functions with unitation constraints (Evolutionary Computation and Probabilistic Graphical Models. Proceedings of the Third Symposium on Adaptive Systems (ISAS-2001), 2001)

A Factorized Distribution Algorithm for problems with integer representation (Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001, 2001)

On the use of Polytrees in Evolutionary Computation (Investigación Operacional, 2001)

On the use of Factorized Distribution Algorithms for problems defined on graphs (Electronic Notes in Discrete Mathematics, 2001)

The mixture of trees factorized distribution algorithm (Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001, 2001)

An analysis of the performance of the mixture of trees factorized distribution algorithm when priors and adaptive learning are used (TR, 2002)

Blocked Stochastic Sampling versus Estimation of Distribution Algorithms (Proceedings of the 2002 Congress on Evolutionary Computation CEC-2002, 2002)

Solving problems with integer representation using a tree based factorized distribution algorithm (Electronic Proceedings of the First International NAISO Congress on Neuro Fuzzy Technologies, 2002)

Estimation of Distribution Algorithms with Kikuchi approximations: Part II (TR, 2003)

Estimation of Distribution Algorithms with Kikuchi approximations: Part I (TR, 2003)

Factorized Distribution Algorithms: selection without selected population (TR, 2003)

UMDA dynamics for a class of parametric functions (TR, 2003)

A Markov network based factorized distribution algorithm for optimization (Proceedings of the 14th European Conference on Machine Learning (ECML-PKDD 2003), 2003)

Factorized Distribution Algorithms: Selection without selected population (Proceedings of the 17th European Simulation Multiconference ESM-2003, 2003)

Probabilistic modeling based on undirected graphs in Estimation Distribution Algorithms (Ph.D. dissertation, 2003)

Modelación probabilstica basada en modelos gráficos no dirigidos en Algoritmos Evolutivos con Estimación de Distribuciones (Ph.D. dissertation, 2004)

Uso de algorithmos evolutivos con estimación de distribuciones en la solución de problemas enteros (Proceedings of the International Conference INFORMATICA-2004, 2004)

Properties of Kikuchi approximations constructed from clique based decompositions (TR, 2005)

Interactions and dependencies in estimation of distribution algorithms (Proceedings of the 2005 Congress on Evolutionary Computation CEC-2005, 2005)

Estimation of distribution algorithms with Kikuchi approximations (Evolutionary Computation, 2005)

Mixtures of Kikuchi approximations (Proceedings of the 17th European Conference on Machine Learning: ECML 2006, 2006)

Challenges and open problems in discrete EDAs (TR, 2007)

Aprendizaje exacto de redes Bayesianas en algoritmos de estimación de distribuciones (Actas de las Jornadas de Algoritmos Evolutivos y Metaheursticas (JAEM I), 2007)

Exact Bayesian network learning in estimation of distribution algorithms (Proceedings of the 2007 Congress on Evolutionary Computation CEC-2007, 2007)

Estimation of distribution algorithms with affinity propagation methods (TR, 2008)

Adaptive estimation of distribution algorithms (Adaptive and Multilevel Metaheuristics, 2008)

An EDA based on local Markov property and Gibbs sampling (Proceedings of the 2008 Genetic and evolutionary computation conference (GECCO), 2008)

Component weighting functions for adaptive search with EDAs (Proceedings of the 2008 Congress on Evolutionary Computation CEC-2008, 2008)

Parameter estimation of diffusion processes using EDAs (Proceedings of VIII International Conference on Operations Research, 2008)

The impact of probabilistic learning algorithms in EDAs based on Bayesian networks (Linkage in Evolutionary Computation, 2008)

MATEDA: A suite of EDA programs in Matlab (TR, 2009)

A quantitative analysis of estimation of distribution algorithms based on Bayesian networks (TR, 2009)

Analyzing the probability of the optimum in EDAs based on Bayesian networks (Proceedings of the 2009 Congress on Evolutionary Computation CEC-2009, 2009)

Estudio de la probabilidad del óptimo en EDAs basados en redes Bayesianas (Proceedings of the X Congreso Español sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados (MAEB-2009), 2009)

Research topics on discrete estimation of distribution algorithms (Memetic Computing, 2009)

Network measures for re-using problem information in EDAs (TR, 2010)

Analyzing the k most probable solutions in EDAs based on Bayesian networks (Exploitation of Linkage Learning in Evolutionary Algorithms, 2010)

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms (Proceedings of the 2010 Congress on Evolutionary Computation CEC-2010, 2010)

Estimation of Bayesian networks algorithms in a class of complex networks (Proceedings of the 2010 Congress on Evolutionary Computation CEC-2010, 2010)

Learning factorizations in estimation of distribution algorithms using affinity propagation (Evolutionary Computation, 2010)

Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms (Journal of Statistical Software, 2010)

Regularized Model Learning in Estimation of Distribution Algorithms for Continuous Optimization Problems (TR, 2011)

Affinity propagation enhanced by estimation of distribution algorithms (Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, 2011)

Analyzing limits of effectiveness in different implementations of estimation of distribution algorithms networks (TR, 2011)

Estimation of distribution algorithms: from available implementations to potential developments (Companion proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, 2011)

On the limits of effectiveness in estimation of distribution algorithms (Proceedings of the 2011 Congress on Evolutionary Computation CEC-2007, 2011)

Regularized k-order Markov models in EDAs (Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, 2011)

Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints (Information Sciences, 2011)

New methods for generating populations in Markov network based EDAs: Decimation strategies and model-based template recombination (TR, 2012)

A Markovianity based optimisation algorithm (Genetic Programming and Evolvable Machines, 2012)

A Review of Estimation of Distribution Algorithms and Markov Networks (Markov Networks in Evolutionary Computation, 2012)

A review on probabilistic graphical models in evolutionary computation (Journal of Heuristics, 2012)

Clases de equivalencia en algoritmos de estimación de distribuciones (Proceedings of the VIII Congreso Español sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados (MAEB-2012), 2012)

Continuous estimation of distribution algorithms based on factorized Gaussian Markov networks (Markov Networks in Evolutionary Computation, 2012)

Evolving NK-complexity for evolutionary solvers (Companion Proceedings of the 2012 Genetic and Evolutionary Computation Conference GECCO-2012, 2012)

Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis (IEEE Transactions on Evolutionary Computation, 2012)

MOA - Markovian Optimisation Algorithm (Markov Networks in Evolutionary Computation, 2012)

On the Taxonomy of Optimization Problems under Estimation of Distribution Algorithms (Evolutionary Computation, 2013)

Regularized Continuous Estimation of Distribution Algorithms (Applied Soft Computing, 2013)

ADFs

Study of neighborhood search operators for unitation functions (TR, 2002)

Exact Gibbs sampling in optimization (Proceedings of the Conference of Cuban Society of Computer Science and Mathematics COMPUMAT-2003, 2003)

Study of neighborhood search operators for unitation functions (Proceedings of the 17th European Simulation Multiconference ESM-2003, 2003)

MCMC in the approximation and optimization of additive functions: A preliminary study (2003)

Bioinformatics

Protein folding in 2-dimensional lattices with estimation of distribution algorithms (Proceedings of the First International Symposium on Biological and Medical Data Analysis, 2004)

A novel in-silico approach for QSAR Studies of Anabolic and Androgenic Activities in the 17-hydroxy-5-androstane Steroid Family (QSAR & Combinatorial Science, 2005)

Protein structure prediction in simplified models with estimation of distribution algorithms (Proceedings of the IV Congreso Español sobre Metaheursticas, Algoritmos Evolutivos y Bioinspirados (MAEB-2005), 2005)

Advances in Probabilistic Graphical Models for Optimization and Learning. Applications in Protein Modelling (Ph.D. dissertation, 2006)

Machine learning in bioinformatics (Briefings in Bioinformatics, 2006)

Algoritmos de Estimación de Distribuciones para el problema de la determinación de la cadena lateral de una protena (Memorias del V Congreso Español de Algoritmos Evolutivos y Bioinspirados, 2007)

Side Chain Placement Using Estimation of Distribution Algorithms (Artificial Intelligence in Medicine, 2007)

The role of a priori information in the minimization of contact potentials by means of estimation of distribution algorithms (Proceedings of the Fifth European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2007)

A review of estimation of distribution algorithms in bioinformatics (BioData Mining, 2008)

Adding probabilistic dependencies to the search of protein side chain configurations using EDAs (Parallel Problem Solving from Nature - PPSN X, 2008)

Combining Variable Neighborhood Search and Estimation of Distribution Algorithms in the Protein Side Chain Placement Problem (Journal of Heuristics, 2008)

Protein folding in simplified models with estimation of distribution algorithms (IEEE Transactions on Evolutionary Computation, 2008)

On the application of estimation of distribution algorithms to multi-marker tagging SNP selection (TR, 2009)

Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms (Artificial Intelligence in Medicine, 2010)

Structural transfer using EDAs: An application to multi-marker tagging SNP selection (Proceedings of the 2012 Congress on Evolutionary Computation CEC-2012, 2012)

Classification

Finding typical testors by using an evolutionary strategy (Proceedings of the Fith Ibero American Symposium on Pattern Recognition, 2000)

Generating test matrices to evaluate the performance of strategies to search typical testors (TR, 2001)

Generación de matrices para evaluar el desempeño de estrategias de búsqueda de testores tpicos (Avances en Ciencias e Ingenieras, 2010)

GAs

Algoritmos Genéticos para un problema de caminos Hamiltonianos (Diplomma Thesis, 1996)

A genetic algorithm for a Hamiltonian path problem (TR, 1996)

A hybrid genetic algorithm for a Hamiltonian path problem (Proceedings of the First Symposium on Artificial Intelligence (CIMAF-97), 1997)

Algoritmos Genéticos y el problema del teñido de telas en la Industria Textil (Proceedings of the First Symposium on Artificial Intelligence (CIMAF-97), 1997)

A genetic algorithm and a local search procedure for a Hamiltonian path problem (Memorias del Encuentro Latino Iberoamericano de Optimización, I ELIO. Congreso Chileno de Investigación Operativa OPTIMA 97., 1997)

Análisis de una familia de algoritmos genéticos para un problema de secuencias en el teñido de telas (Memorias del Encuentro Latino Iberoamericano de Optimización, I ELIO. Congreso Chileno de Investigación Operativa OPTIMA 97., 1997)

A genetic algorithm for a Hamiltonian path problem: Mutation - crossover interaction (Proceedings of the 13th ISPE/IEE International Conference on CAD/CAM Robotics and Factories of the Future 97, 1997)

A Genetic Algorithm for a Hamiltonian Path Problem (Proceedings of the X International Conference on Industrial and Engineering Applications of AI and Expert Systems, 1997)

Algoritmos Genéticos y el problema del teñido de telas en la Industria Textil (Revista Latinoamericana de Tecnologa Textil, 1997)

A conceptual model for detecting structures in graphs using evolutionary optimization algorithms (TR, 1998)

An evolutionary optimization approach for detecting structures on graphs (Smart Engineering System Design: Neural Network, Fuzzy Logic, Rough Sets and Evolutionary Programming, 1998)

Defining families of functions to be used in the search of different structures on graphs (Proceedings of the IX Congreso Iberoamericano de Investigación Operativa, 1998)

A hybrid genetic algorithm for a Hamiltonian path problem (Revista Investigación Operacional, 1999)

Too busy to learn (Proceedings of the 2000 Congress on Evolutionary Computation CEC-2000, 2000)

Too Busy to Learn (Colectânea de Comunicacões, 2000)

Graphical models

Automatic construction of valid region based decompositions of graphs (Proceedings of the Conference of Cuban Society of Computer Science and Mathematics COMPUMAT-2003, 2003)

Aprendizaje y muestreo de la aproximación Kikuchi (Proceedings of the III Taller Nacional de Minera de Datos y Aprendizaje (TAMIDA-2005), 2005)

Introducing belief propagation in estimation of distribution algorithms: A parallel framework (TR, 2007)

Optimization by max-propagation using {Kikuchi approximations} (TR, 2007)

A parallel framework for loopy belief propagation (Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2007, 2007)

An empirical analysis of loopy belief propagation in three topologies: Grids, small-world networks and random graphs (Proceedings of the Fourth European Workshop on Probabilistic Graphical Models (PGM-2008), 2008)

Fast fitness improvements in Estimation of Distribution Algorithms using belief propagation (Markov Networks in Evolutionary Computation, 2012)

MN-EDA and the Use of Clique-Based Factorisations in EDAs (Markov Networks in Evolutionary Computation, 2012)

Probabilistic Graphical Models and Markov Networks (Markov Networks in Evolutionary Computation, 2012)

A Review on Evolutionary Algorithms in Bayesian Network Learning and Inference Tasks (Information Sciences, 2013)

Multi-objective optimization

Mining probabilistic models learned by EDAs in the optimization of multi-objective problems (Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2009, 2009)

Multi-objective optimization with joint probabilistic modeling of objectives and variables (Evolutionary Multi-Criterion Optimization: Sixth International Conference, EMO 2011, 2011)

Quantitative genetics in multi-objective optimization algorithms: From useful insights to effective methods (Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, 2011)

Multi-objective optimization based on joint probabilistic modeling of objectives and variables (TR, 2012)

Neuroscience

Synergies between network-based representations and probabilistic graphical modeling in the solution of problems from neuroscience (Proceedings of the Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 2010)

Using probabilistic dependencies improves the search of conductance-based compartmental neuron models (Proceedings of the 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2010)

A differential evolution algorithm for the detection of synaptic vesicles (Evolutionary Computation (CEC), 2011 IEEE Congress on, 2011)

A direct optimization approach to the P300 speller (Proceedings of the 2011 Genetic and Evolutionary Computation Conference GECCO-2011, 2011)

An ensemble of classifiers approach with multiple sources of information (Proceedings of ICANN/PASCAL2 Challenge: MEG Mind Reading, 2011)

Optimizing brain networks topologies using multi-objective evolutionary computation (Neuroinformatics, 2011)

An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data (Proceedings of the 2012 Congress on Evolutionary Computation CEC-2012, 2012)

Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models (BMC Neuroscience, 2012)

Introducing the use of model-based evolutionary algorithms for EEG-based motor imagery classification (Proceedings of the 2012 Genetic and Evolutionary Computation Conference GECCO-2012, 2012)

Maximizing the number of polychronous groups in spiking networks (Companion Proceedings of the 2012 Genetic and Evolutionary Computation Conference GECCO-2012, 2012)

Regularized logistic regression and multi-objective variable selection for classifying MEG data (Biological Cybernetics, 2012)

{Networks},

Network measures for information extraction in evolutionary algorithms (International Journal of Computational Intelligence Systems, 2013)


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Roberto Santana