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Alexander Mendiburu
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2020 – today
- 2024
- [j52]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
A roadmap for solving optimization problems with estimation of distribution algorithms. Nat. Comput. 23(1): 99-113 (2024) - [j51]Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Applicability of Neural Combinatorial Optimization: A Critical View. ACM Trans. Evol. Learn. Optim. 4(3): 15:1-15:26 (2024) - [j50]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10561-10575 (2024) - [c56]Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. CAEPIA 2024: 264-273 - [c55]Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Combinatorial Optimization by Means of Partial Solution Strategies. CEC 2024: 1-8 - [c54]Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu:
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. IJCAI 2024: 6931-6939 - [c53]Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Factorized models in neural architecture search: Impact on computational costs and performance. IJCNN 2024: 1-8 - [i17]Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu:
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. CoRR abs/2408.02207 (2024) - 2023
- [j49]Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso:
Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning. Comput. Secur. 124: 102996 (2023) - [j48]Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso:
Efficient concept drift handling for batch android malware detection models. Pervasive Mob. Comput. 96: 101849 (2023) - [c52]Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano:
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. GECCO Companion 2023: 679-682 - [c51]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Analyzing the interplay between transferable GANs and gradient optimizers. GECCO Companion 2023: 1777-1784 - [i16]Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano:
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. CoRR abs/2303.02801 (2023) - [i15]Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso:
Efficient Concept Drift Handling for Batch Android Malware Detection Models. CoRR abs/2309.09807 (2023) - [i14]Borja Molina-Coronado, Antonio Ruggia, Usue Mori, Alessio Merlo, Alexander Mendiburu, José Miguel-Alonso:
Light up that Droid! On the Effectiveness of Static Analysis Features against App Obfuscation for Android Malware Detection. CoRR abs/2310.15645 (2023) - 2022
- [j47]Ricardo Henrique Remes de Lima, Dimmy Magalhães, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana:
A grammar-based GP approach applied to the design of deep neural networks. Genet. Program. Evolvable Mach. 23(3): 427-452 (2022) - [i13]Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Combinatorial Optimization: a New Player in the Field. CoRR abs/2205.01356 (2022) - [i12]Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso:
Towards a Fair Comparison and Realistic Design and Evaluation Framework of Android Malware Detectors. CoRR abs/2205.12569 (2022) - [i11]Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Improvement Heuristics for Preference Ranking. CoRR abs/2206.00383 (2022) - 2021
- [j46]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. Ann. Math. Artif. Intell. 89(8-9): 835-856 (2021) - [j45]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. Neurocomputing 462: 426-439 (2021) - [j44]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
In-depth analysis of SVM kernel learning and its components. Neural Comput. Appl. 33(12): 6575-6594 (2021) - [j43]Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards Automatic Construction of Multi-Network Models for Heterogeneous Multi-Task Learning. ACM Trans. Knowl. Discov. Data 15(2): 33:1-33:23 (2021) - [c50]Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana:
Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. EuroGP 2021: 98-113 - [c49]Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu:
On the exploitation of neuroevolutionary information. GECCO Companion 2021: 279-280 - [c48]Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. GECCO Companion 2021: 1433-1441 - [c47]Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana:
Adversarial Perturbations for Evolutionary Optimization. LOD 2021: 408-422 - [i10]Unai Garciarena, Nuno Lourenço, Penousal Machado, Roberto Santana, Alexander Mendiburu:
On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future. CoRR abs/2105.12836 (2021) - [i9]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Redefining Neural Architecture Search of Heterogeneous Multi-Network Models by Characterizing Variation Operators and Model Components. CoRR abs/2106.08972 (2021) - 2020
- [j42]Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Analysis of the transferability and robustness of GANs evolved for Pareto set approximations. Neural Networks 132: 281-296 (2020) - [j41]Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso:
Survey of Network Intrusion Detection Methods From the Perspective of the Knowledge Discovery in Databases Process. IEEE Trans. Netw. Serv. Manag. 17(4): 2451-2479 (2020) - [c46]Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Envisioning the Benefits of Back-Drive in Evolutionary Algorithms. CEC 2020: 1-8 - [c45]Ricardo Henrique Remes de Lima, Aurora T. R. Pozo, Alexander Mendiburu, Roberto Santana:
A Symmetric grammar approach for designing segmentation models. CEC 2020: 1-8 - [c44]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Journey to the center of the linear ordering problem. GECCO 2020: 201-209 - [c43]Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Automatic Structural Search for Multi-task Learning VALPs. OLA 2020: 25-36 - [c42]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. SSCI 2020: 2288-2295 - [i8]Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, José Miguel-Alonso:
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process. CoRR abs/2001.09697 (2020)
2010 – 2019
- 2019
- [j40]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. IEEE Access 7: 184294-184302 (2019) - [j39]Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano:
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. 27(2): 291-311 (2019) - [j38]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Anatomy of the Attraction Basins: Breaking with the Intuition. Evol. Comput. 27(3): 435-466 (2019) - [j37]Usue Mori, Alexander Mendiburu, Isabel Marta Miranda, José Antonio Lozano:
Early classification of time series using multi-objective optimization techniques. Inf. Sci. 492: 204-218 (2019) - [c41]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections. GECCO 2019: 266-273 - [c40]Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Sentiment analysis with genetically evolved gaussian kernels. GECCO 2019: 1328-1337 - [c39]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. LION 2019: 304-318 - [c38]Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Bayesian Optimization Approaches for Massively Multi-modal Problems. LION 2019: 383-397 - [i7]Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards automatic construction of multi-network models for heterogeneous multi-task learning. CoRR abs/1903.09171 (2019) - [i6]Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Sentiment analysis with genetically evolved Gaussian kernels. CoRR abs/1904.00977 (2019) - [i5]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian Process kernels from elementary mathematical expressions. CoRR abs/1910.05173 (2019) - 2018
- [j36]Anne Elorza, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Estimating attraction basin sizes of combinatorial optimization problems. Prog. Artif. Intell. 7(4): 369-384 (2018) - [j35]Usue Mori, Alexander Mendiburu, Sanjoy Dasgupta, José Antonio Lozano:
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4569-4578 (2018) - [j34]Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu:
Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. ACM Trans. Math. Softw. 44(4): 47:1-47:13 (2018) - [c37]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA 2018: 187-197 - [c36]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Analysis of the Complexity of the Automatic Pipeline Generation Problem. CEC 2018: 1-8 - [c35]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum. CEC 2018: 1-7 - [c34]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) 2018: 137-138 - [c33]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Evolved GANs for generating pareto set approximations. GECCO 2018: 434-441 - [c32]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Expanding variational autoencoders for learning and exploiting latent representations in search distributions. GECCO 2018: 849-856 - [r1]Rafael Martí, José Antonio Lozano, Alexander Mendiburu, Leticia Hernando:
Multi-start Methods. Handbook of Heuristics 2018: 155-175 - [i4]Unai Garciarena, Alexander Mendiburu, Roberto Santana:
Towards a more efficient representation of imputation operators in TPOT. CoRR abs/1801.04407 (2018) - 2017
- [j33]Murilo Zangari de Souza, Roberto Santana, Alexander Mendiburu, Aurora Trinidad Ramirez Pozo:
Not all PBILs are the same: Unveiling the different learning mechanisms of PBIL variants. Appl. Soft Comput. 53: 88-96 (2017) - [j32]Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano:
Reliable early classification of time series based on discriminating the classes over time. Data Min. Knowl. Discov. 31(1): 233-263 (2017) - [j31]Murilo Zangari, Aurora T. R. Pozo, Roberto Santana, Alexander Mendiburu:
A decomposition-based binary ACO algorithm for the multiobjective UBQP. Neurocomputing 246: 58-68 (2017) - [j30]Murilo Zangari, Alexander Mendiburu, Roberto Santana, Aurora T. R. Pozo:
Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem. Inf. Sci. 397: 137-154 (2017) - [c31]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
A square lattice probability model for optimising the Graph Partitioning Problem. CEC 2017: 1629-1636 - [c30]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Are we generating instances uniformly at random? CEC 2017: 1645-1651 - [i3]Unai Garciarena, Roberto Santana, Alexander Mendiburu:
Evolving imputation strategies for missing data in classification problems with TPOT. CoRR abs/1706.01120 (2017) - 2016
- [j29]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
A review of message passing algorithms in estimation of distribution algorithms. Nat. Comput. 15(1): 165-180 (2016) - [j28]Usue Mori, Alexander Mendiburu, José Antonio Lozano:
Distance Measures for Time Series in R: The TSdist Package. R J. 8(2): 451 (2016) - [j27]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems. IEEE Trans. Evol. Comput. 20(2): 165-179 (2016) - [j26]Unai Lopez-Novoa, Alexander Mendiburu, José Miguel-Alonso:
Kernel density estimation in accelerators - Implementation and performance evaluation. J. Supercomput. 72(2): 545-566 (2016) - [j25]Usue Mori, Alexander Mendiburu, José Antonio Lozano:
Similarity Measure Selection for Clustering Time Series Databases. IEEE Trans. Knowl. Data Eng. 28(1): 181-195 (2016) - [c29]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
A Note on the Boltzmann Distribution and the Linear Ordering Problem. CAEPIA 2016: 441-446 - [c28]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Estimating Attraction Basin Sizes. CAEPIA 2016: 458-467 - [c27]Ibai Roman, Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Bayesian optimization for parameter tuning in evolutionary algorithms. CEC 2016: 4839-4845 - [c26]Murilo Zangari, Roberto Santana, Alexander Mendiburu, Aurora T. R. Pozo:
On the Design of Hard mUBQP Instances. GECCO 2016: 421-428 - 2015
- [j24]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Multi-view classification of psychiatric conditions based on saccades. Appl. Soft Comput. 31: 308-316 (2015) - [j23]Carlos Pérez-Miguel, Alexander Mendiburu, José Miguel-Alonso:
Competition-based failure-aware scheduling for High-Throughput Computing systems on peer-to-peer networks. Clust. Comput. 18(3): 1229-1249 (2015) - [j22]Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano:
A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms. Comput. Optim. Appl. 62(2): 545-564 (2015) - [j21]Unai Lopez-Novoa, Jon Sáenz, Alexander Mendiburu, José Miguel-Alonso, Iñigo Errasti, Ganix Esnaola, Agustín Ezcurra, Gabriel Ibarra-Berastegi:
Multi-objective environmental model evaluation by means of multidimensional kernel density estimators: Efficient and multi-core implementations. Environ. Model. Softw. 63: 123-136 (2015) - [j20]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
The linear ordering problem revisited. Eur. J. Oper. Res. 241(3): 686-696 (2015) - [j19]Unai Lopez-Novoa, Jon Sáenz, Alexander Mendiburu, José Miguel-Alonso:
An efficient implementation of kernel density estimation for multi-core and many-core architectures. Int. J. High Perform. Comput. Appl. 29(3): 331-347 (2015) - [j18]Carlos Pérez-Miguel, Alexander Mendiburu, José Miguel-Alonso:
Modeling the availability of Cassandra. J. Parallel Distributed Comput. 86: 29-44 (2015) - [j17]Carlos Echegoyen, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Comprehensive characterization of the behaviors of estimation of distribution algorithms. Theor. Comput. Sci. 598: 64-86 (2015) - [j16]Unai Lopez-Novoa, Alexander Mendiburu, José Miguel-Alonso:
A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing. IEEE Trans. Parallel Distributed Syst. 26(1): 272-281 (2015) - [c25]Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano:
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. CAEPIA 2015: 289-300 - [c24]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving MNK-landscapes with structural constraints. CEC 2015: 1364-1371 - [c23]Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC 2015: 2050-2057 - [c22]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Kernels of Mallows Models for Solving Permutation-based Problems. GECCO 2015: 505-512 - [c21]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Multi-objective NM-Landscapes. GECCO (Companion) 2015: 1477-1478 - [i2]Murilo Zangari de Souza, Roberto Santana, Aurora Trinidad Ramirez Pozo, Alexander Mendiburu:
MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems. CoRR abs/1511.05625 (2015) - [i1]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Computing factorized approximations of Pareto-fronts using mNM-landscapes and Boltzmann distributions. CoRR abs/1512.03466 (2015) - 2014
- [j15]Ramón Sagarna, Alexander Mendiburu, Iñaki Inza, José Antonio Lozano:
Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. Inf. Sci. 258: 122-139 (2014) - [j14]Santiago Muelas, Alexander Mendiburu, Antonio LaTorre, José María Peña Sánchez:
Distributed Estimation of Distribution Algorithms for continuous optimization: How does the exchanged information influence their behavior? Inf. Sci. 268: 231-254 (2014) - [j13]Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano:
A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. IEEE Trans. Evol. Comput. 18(2): 286-300 (2014) - [c20]Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano:
Extending distance-based ranking models in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2014: 2459-2466 - [c19]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Customized Selection in Estimation of Distribution Algorithms. SEAL 2014: 94-105 - 2013
- [j12]Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
On the Taxonomy of Optimization Problems Under Estimation of Distribution Algorithms. Evol. Comput. 21(3): 471-495 (2013) - [j11]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
An Evaluation of Methods for Estimating the Number of Local Optima in Combinatorial Optimization Problems. Evol. Comput. 21(4): 625-658 (2013) - [j10]Carlos Pérez-Miguel, José Miguel-Alonso, Alexander Mendiburu:
High throughput computing over peer-to-peer networks. Future Gener. Comput. Syst. 29(1): 352-360 (2013) - [c18]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
The Plackett-Luce ranking model on permutation-based optimization problems. IEEE Congress on Evolutionary Computation 2013: 494-501 - [c17]Josu Ceberio, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Understanding Instance Complexity in the Linear Ordering Problem. IDEAL 2013: 479-486 - [c16]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Generating Customized Landscapes in Permutation-Based Combinatorial Optimization Problems. LION 2013: 299-303 - [c15]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Critical Issues in Model-Based Surrogate Functions in Estimation of Distribution Algorithms. SEMCCO (2) 2013: 1-13 - [c14]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Message Passing Methods for Estimation of Distribution Algorithms Based on Markov Networks. SEMCCO (2) 2013: 419-430 - 2012
- [j9]Izaskun Ibarbia, Alexander Mendiburu, Maria Santos, José Antonio Lozano:
An interactive optimization approach to a real-world oceanographic campaign planning problem. Appl. Intell. 36(3): 721-734 (2012) - [j8]Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano:
A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems. Prog. Artif. Intell. 1(1): 103-117 (2012) - [j7]Carlos Echegoyen, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Toward Understanding EDAs Based on Bayesian Networks Through a Quantitative Analysis. IEEE Trans. Evol. Comput. 16(2): 173-189 (2012) - [c13]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Structural transfer using EDAs: An application to multi-marker tagging SNP selection. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c12]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
An analysis of the use of probabilistic modeling for synaptic connectivity prediction from genomic data. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c11]Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving NK-complexity for evolutionary solvers. GECCO (Companion) 2012: 1473-1474 - 2011
- [c10]Carlos Echegoyen, Qingfu Zhang, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
On the limits of effectiveness in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2011: 1573-1580 - [c9]