Alexander Mendiburu

131 papers A* 1A 8B 20C 1Journal 72Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enabling Population-Based Architectures for Neural Combinatorial Optimization. CoRR Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu
2025	J	`jnl`	Light up that Droid! On the effectiveness of static analysis features against app obfuscation for Android malware detection. J. Netw. Comput. Appl. Borja Molina-Coronado, Antonio Ruggia, Usue Mori, Alessio Merlo, Alexander Mendiburu, José Miguel-Alonso
2024	J	`jnl`	A roadmap for solving optimization problems with estimation of distribution algorithms. Nat. Comput. Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2024	J	`jnl`	Applicability of Neural Combinatorial Optimization: A Critical View. ACM Trans. Evol. Learn. Optim. Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2024	—	`conf`	Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. CAEPIA Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2024	B	`conf`	Factorized models in neural architecture search: Impact on computational costs and performance. IJCNN Unai Garciarena, Alexander Mendiburu, Roberto Santana
2024	A*	`conf`	MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. IJCAI Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. CoRR Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu
2024	B	`conf`	Neural Combinatorial Optimization by Means of Partial Solution Strategies. CEC Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	Neural Improvement Heuristics for Graph Combinatorial Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components. IEEE Trans. Neural Networks Learn. Syst. Unai Garciarena, Roberto Santana, Alexander Mendiburu
2023	—	`conf`	Analyzing the interplay between transferable GANs and gradient optimizers. GECCO Companion Unai Garciarena, Roberto Santana, Alexander Mendiburu
2023	J	`jnl`	Efficient Concept Drift Handling for Batch Android Malware Detection Models. CoRR Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
2023	J	`jnl`	Efficient concept drift handling for batch android malware detection models. Pervasive Mob. Comput. Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
2023	J	`jnl`	Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection. CoRR Borja Molina-Coronado, Antonio Ruggia, Usue Mori, Alessio Merlo, Alexander Mendiburu, José Miguel-Alonso
2023	—	`conf`	Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. GECCO Companion Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
2023	J	`jnl`	Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. CoRR Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano
2023	J	`jnl`	Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning. Comput. Secur. Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
2022	J	`jnl`	A grammar-based GP approach applied to the design of deep neural networks. Genet. Program. Evolvable Mach. Ricardo Henrique Remes de Lima, Dimmy Magalhães, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
2022	J	`jnl`	Neural Combinatorial Optimization: a New Player in the Field. CoRR Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2022	J	`jnl`	Neural Improvement Heuristics for Preference Ranking. CoRR Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2022	J	`jnl`	Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors. CoRR Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
2021	—	`conf`	Adversarial Perturbations for Evolutionary Optimization. LOD Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana
2021	B	`conf`	Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. EuroGP Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
2021	J	`jnl`	Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. Ann. Math. Artif. Intell. Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2021	J	`jnl`	Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. Neurocomputing Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2021	—	`conf`	Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. GECCO Companion Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2021	J	`jnl`	In-depth analysis of SVM kernel learning and its components. Neural Comput. Appl. Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2021	J	`jnl`	On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. CoRR Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
2021	—	`conf`	On the exploitation of neuroevolutionary information. GECCO Companion Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu
2021	J	`jnl`	Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. CoRR Unai Garciarena, Roberto Santana, Alexander Mendiburu
2021	J	`jnl`	Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. ACM Trans. Knowl. Discov. Data Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020	B	`conf`	A Symmetric grammar approach for designing segmentation models. CEC Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana
2020	J	`jnl`	Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. Neural Networks Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020	—	`conf`	Automatic Structural Search for Multi-task Learning VALPs. OLA Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020	B	`conf`	Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. CEC Unai Garciarena, Alexander Mendiburu, Roberto Santana
2020	—	`conf`	EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. SSCI Unai Garciarena, Roberto Santana, Alexander Mendiburu
2020	A	`conf`	Journey to the center of the linear ordering problem. GECCO Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2020	J	`jnl`	Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process. IEEE Trans. Netw. Serv. Manag. Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
2020	J	`jnl`	Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process. CoRR Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso
2019	J	`jnl`	An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. IEEE Access Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2019	J	`jnl`	Anatomy of the Attraction Basins: Breaking with the Intuition. Evol. Comput. Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2019	—	`conf`	Bayesian Optimization Approaches for Massively Multi-modal Problems. LION Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2019	A	`conf`	Characterising the rankings produced by combinatorial optimisation problems and finding their intersections. GECCO Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2019	J	`jnl`	Early classification of time series using multi-objective optimization techniques. Inf. Sci. Usue Mori, Alexander Mendiburu, Isabel Marta Miranda, José Antonio Lozano
2019	—	`conf`	Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. LION Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2019	J	`jnl`	Evolving Gaussian Process kernels from elementary mathematical expressions. CoRR Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2019	J	`jnl`	Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
2019	J	`jnl`	Sentiment analysis with genetically evolved Gaussian kernels. CoRR Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2019	A	`conf`	Sentiment analysis with genetically evolved gaussian kernels. GECCO Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2019	J	`jnl`	Towards automatic construction of multi-network models for heterogeneous multi-task learning. CoRR Unai Garciarena, Alexander Mendiburu, Roberto Santana
2018	J	`jnl`	Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. ACM Trans. Math. Softw. Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu
2018	B	`conf`	Analysis of the Complexity of the Automatic Pipeline Generation Problem. CEC Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018	—	`conf`	Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2018	—	`conf`	Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2018	J	`jnl`	Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness. IEEE Trans. Neural Networks Learn. Syst. Usue Mori, Alexander Mendiburu, Sanjoy Dasgupta, José Antonio Lozano
2018	J	`jnl`	Estimating attraction basin sizes of combinatorial optimization problems. Prog. Artif. Intell. Anne Elorza, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2018	A	`conf`	Evolved GANs for generating pareto set approximations. GECCO Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018	A	`conf`	Expanding variational autoencoders for learning and exploiting latent representations in search distributions. GECCO Unai Garciarena, Roberto Santana, Alexander Mendiburu
2018	B	`conf`	Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum. CEC Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2018	—	`ch.`	Multi-start Methods. Handbook of Heuristics Rafael Martí, José Antonio Lozano, Alexander Mendiburu, Leticia Hernando
2018	J	`jnl`	Towards a more efficient representation of imputation operators in TPOT. CoRR Unai Garciarena, Alexander Mendiburu, Roberto Santana
2017	J	`jnl`	A decomposition-based binary ACO algorithm for the multiobjective UBQP. Neurocomputing Murilo Zangari, Aurora T. R. Pozo, Roberto Santana, Alexander Mendiburu
2017	B	`conf`	A square lattice probability model for optimising the Graph Partitioning Problem. CEC Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2017	B	`conf`	Are we generating instances uniformly at random? CEC Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2017	J	`jnl`	Evolving imputation strategies for missing data in classification problems with TPOT. CoRR Unai Garciarena, Roberto Santana, Alexander Mendiburu
2017	J	`jnl`	Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. Inf. Sci. Murilo Zangari, Alexander Mendiburu, Roberto Santana, Aurora T. R. Pozo
2017	J	`jnl`	Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. Appl. Soft Comput. Murilo Zangari de Souza, Roberto Santana, Alexander Mendiburu, Aurora Trinidad Ramirez Pozo
2017	J	`jnl`	Reliable early classification of time series based on discriminating the classes over time. Data Min. Knowl. Discov. Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano
2016	—	`conf`	A Note on the Boltzmann Distribution and the Linear Ordering Problem. CAEPIA Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2016	J	`jnl`	A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2016	J	`jnl`	A review of message passing algorithms in estimation of distribution algorithms. Nat. Comput. Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2016	B	`conf`	Bayesian optimization for parameter tuning in evolutionary algorithms. CEC Ibai Roman, Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2016	J	`jnl`	Distance Measures for Time Series in R: The TSdist Package. R J. Usue Mori, Alexander Mendiburu, José Antonio Lozano
2016	—	`conf`	Estimating Attraction Basin Sizes. CAEPIA Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2016	J	`jnl`	Kernel density estimation in accelerators - Implementation and performance evaluation. J. Supercomput. Unai Lopez-Novoa, Alexander Mendiburu, José Miguel-Alonso
2016	A	`conf`	On the Design of Hard mUBQP Instances. GECCO Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo
2016	J	`jnl`	Similarity Measure Selection for Clustering Time Series Databases. IEEE Trans. Knowl. Data Eng. Usue Mori, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing. IEEE Trans. Parallel Distributed Syst. Unai Lopez-Novoa, Alexander Mendiburu, José Miguel-Alonso
2015	J	`jnl`	A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms. Comput. Optim. Appl. Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	An efficient implementation of kernel density estimation for multi-core and many-core architectures. Int. J. High Perform. Comput. Appl. Unai Lopez-Novoa, Jon Sáenz, Alexander Mendiburu, José Miguel-Alonso
2015	J	`jnl`	Competition-based failure-aware scheduling for High-Throughput Computing systems on peer-to-peer networks. Clust. Comput. Carlos Pérez-Miguel, Alexander Mendiburu, José Miguel-Alonso
2015	J	`jnl`	Comprehensive characterization of the behaviors of estimation of distribution algorithms. Theor. Comput. Sci. Carlos Echegoyen, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions. CoRR Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	B	`conf`	Evolving MNK-landscapes with structural constraints. CEC Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	A	`conf`	Kernels of Mallows Models for Solving Permutation-based Problems. GECCO Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. CoRR Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo, Alexander Mendiburu
2015	B	`conf`	Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	Modeling the availability of Cassandra. J. Parallel Distributed Comput. Carlos Pérez-Miguel, Alexander Mendiburu, José Miguel-Alonso
2015	—	`conf`	Multi-objective NM-Landscapes. GECCO (Companion) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	Multi-objective environmental model evaluation by means of multidimensional kernel density estimators: Efficient and multi-core implementations. Environ. Model. Softw. Unai Lopez-Novoa, Jon Sáenz, Alexander Mendiburu, José Miguel-Alonso, Iñigo Errasti, Ganix Esnaola, Agustín Ezcurra, Gabriel Ibarra-Berastegi
2015	—	`conf`	Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. CAEPIA Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	Multi-view classification of psychiatric conditions based on saccades. Appl. Soft Comput. Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	The linear ordering problem revisited. Eur. J. Oper. Res. Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2014	J	`jnl`	A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. IEEE Trans. Evol. Comput. Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2014	J	`jnl`	Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. Inf. Sci. Ramón Sagarna, Alexander Mendiburu, Iñaki Inza, José Antonio Lozano
2014	—	`conf`	Customized Selection in Estimation of Distribution Algorithms. SEAL Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2014	J	`jnl`	Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior? Inf. Sci. Santiago Muelas, Alexander Mendiburu, Antonio LaTorre, José María Peña Sánchez
2014	B	`conf`	Extending distance-based ranking models in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2013	J	`jnl`	An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems. Evol. Comput. Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2013	—	`conf`	Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms. SEMCCO (2) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2013	—	`conf`	Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems. LION Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2013	J	`jnl`	High throughput computing over peer-to-peer networks. Future Gener. Comput. Syst. Carlos Pérez-Miguel, José Miguel-Alonso, Alexander Mendiburu
2013	—	`conf`	Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks. SEMCCO (2) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2013	J	`jnl`	On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms. Evol. Comput. Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2013	B	`conf`	The Plackett-Luce ranking model on permutation-based optimization problems. IEEE Congress on Evolutionary Computation Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2013	C	`conf`	Understanding Instance Complexity in the Linear Ordering Problem. IDEAL Josu Ceberio, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2012	J	`jnl`	A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems. Prog. Artif. Intell. Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2012	B	`conf`	An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. IEEE Congress on Evolutionary Computation Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2012	J	`jnl`	An interactive optimization approach to a real-world oceanographic campaign planning problem. Appl. Intell. Izaskun Ibarbia, Alexander Mendiburu, Maria Santos, José Antonio Lozano
2012	—	`conf`	Evolving NK-complexity for evolutionary solvers. GECCO (Companion) Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2012	B	`conf`	Structural transfer using EDAs: An application to multi-marker tagging SNP selection. IEEE Congress on Evolutionary Computation Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2012	J	`jnl`	Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis. IEEE Trans. Evol. Comput. Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2011	A	`conf`	A preliminary study on EDAs for permutation problems based on marginal-based models. GECCO Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2011	—	`conf`	A study on the complexity of TSP instances under the 2-exchange neighbor system. FOCI Leticia Hernando, Jose Antonio Pascual, Alexander Mendiburu, José Antonio Lozano
2011	—	`conf`	Introducing the Mallows Model on Estimation of Distribution Algorithms. ICONIP (2) Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2011	B	`conf`	On the limits of effectiveness in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2010	—	`ch.`	A Review on Parallel Estimation of Distribution Algorithms. Parallel and Distributed Computational Intelligence Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano
2010	B	`conf`	Estimation of Bayesian networks algorithms in a class of complex networks. IEEE Congress on Evolutionary Computation Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2010	J	`jnl`	Multi-marker tagging single nucleotide polymorphism selection using estimation of distribution algorithms. Artif. Intell. Medicine Roberto Santana, Alexander Mendiburu, Noah Zaitlen, Eleazar Eskin, José Antonio Lozano
2010	J	`jnl`	Porting Estimation of Distribution Algorithms to the Cell Broadband Engine. Parallel Comput. Carlos Pérez-Miguel, José Miguel-Alonso, Alexander Mendiburu
2009	B	`conf`	Analyzing the probability of the optimum in EDAs based on Bayesian networks. IEEE Congress on Evolutionary Computation Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano
2009	—	`conf`	Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms. GECCO (Companion) Carlos Pérez-Miguel, José Miguel-Alonso, Alexander Mendiburu
2007	—	`conf`	A parallel framework for loopy belief propagation. GECCO (Companion) Alexander Mendiburu, Roberto Santana, José Antonio Lozano, Endika Bengoetxea
2007	J	`jnl`	Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains. Connect. Sci. Teresa Miquélez, Endika Bengoetxea, Alexander Mendiburu, Pedro Larrañaga
2006	B	`conf`	Evaluation of Parallel EDAs to Create Chemical Calibration Models. e-Science Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano
2006	J	`jnl`	Implementation and Performance Evaluation of a Parallelization of Estimation of Bayesian Network Algorithms. Parallel Process. Lett. Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano
2006	J	`jnl`	Parallel EDAs to create multivariate calibration models for quantitative chemical applications. J. Parallel Distributed Comput. Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano, Miren Ostra, Carlos Ubide
2005	J	`jnl`	Parallel Implementation of EDAs Based on Probabilistic Graphical Models. IEEE Trans. Evol. Comput. Alexander Mendiburu, José Antonio Lozano, José Miguel-Alonso
2005	—	`conf`	Parallel and Multi-Objective EDAs to Create Multivariate Calibration Models for Quantitative Chemical Applications. ICPP Workshops Alexander Mendiburu, José Miguel-Alonso, José Antonio Lozano, Miren Ostra, Carlos Ubide
2002	—	`ch.`	Estimation of Distribution Algorithms Applied to the Job Shop Scheduling Problem: Some Preliminary Research. Estimation of Distribution Algorithms José Antonio Lozano, Alexander Mendiburu