2022

  • A.I. Garmendia, J. Ceberio, A. Mendiburu. Neural Combinatorial Optimization: a New Player in the Field. IEEE Transactions on Evolutionary Computation. Under review. https://arxiv.org/abs/2205.01356.
  • J. Alza, M. Bartlett, J. Ceberio, John McCall. On the Elusivity of Dynamic Combinatorial Optimisation Problems. Swarm and Evolutionary Computation. Under review.
  • I. Gago, U. Aldasoro, J. Ceberio, M. Merino. A stochastic optimization model for ambulance (re)location-allocation under fair coverage and multi-level response time. European Journal of Operational Research. Under review.
  • J. Rojas-Delgado, B. Calvo, J. Ceberio, J.A. Lozano. Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Transactions on Evolutionary Computation. Under review.
  • E. Arza, A. Perez, E. Irurozki, J. Ceberio. On the fair comparison of algorithms in different machines. Annals of Applied Statistics. Under review.
  • A. Shirazi, J. Ceberio, J.A. Lozano. Trajectory Optimization of Space Vehicle in Rendezvous Proximity Operation with Evolutionary Feasibility Conserving Techniques. Engineering Applications of Artificial Intelligence. Under review.
  • J. Alza, M. Bartlett, J. Ceberio, John McCall. On the Analysis of Fitness Landscape Rotation for Combinatorial Optimization. The seventeenth International Conference on Parallel Problem Solving from Nature, September 10-14th 2022, Dortmund, Germany. Accepted for publication.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. A Roadmap for Solving Optimization Problems with Estimation of Distribution Algorithms. Natural Computing. Accepted for publication.
  • A.I. Garmendia, J. Ceberio, A. Mendiburu. Neural Improvement Heuristics for Preference Ranking. 2022. https://arxiv.org/abs/2206.00383.
  • C. Andreu-Vilarroig, J. Ceberio, J.C. Cortes, F. Fernández de Vega, J.I. Hidalgo, R. Villanueva. Evolutionary Approach to Model Calibration with Uncertainty: An Application to Breast Cancer Growth Model. Workshop on Evolutionary Optimization in Uncertainty Quantification Models. Companion of the 2022 ACM Genetic and Evolutionary Computation Conference, July 2022, Pages 1895–1901, https://doi.org/10.1145/3520304.3533948
  • J. Ceberio, J.C. Cortes, F. Fernandez, O. Garnica, J.I. Hidalgo, J.M. Velasco, R. Villanueva. Approaching Epistemic and Aleatoric uncertainty with Evolutionary Optimization: Examples and Challenges. Workshop on Evolutionary Optimization in Uncertainty Quantification Models. Companion of the 2022 ACM Genetic and Evolutionary Computation Conference, July 2022, Pages 1909–1915, https://doi.org/10.1145/3520304.3533978
  • E. Arza, J. Ceberio, A. Perez, E. Irurozki. Comparing two samples through stochastic dominance: a graphical approach. Journal of Computational and Graphical Statistics. DOI: https://doi.org/10.1080/10618600.2022.2084405. Arxiv: https://arxiv.org/abs/2203.07889.
  • E. Arza, J. Ceberio, A. Perez, E. Irurozki. Implementing the cumulative difference plot in the IOHAnalyzer. Open Optimization Competition 2022: Better Benchmarking of Sampling-Based Optimization Algorithms. Companion of the 2022 ACM Genetic and Evolutionary Computation Conference, July 2022, Pages 11–12, https://doi.org/10.1145/3520304.3534050.
  • A. Shirazi, J. Ceberio, J.A. Lozano. EDA++: Estimation of Distribution Algorithms with Feasibility Conserving Mechanisms for Constrained Continuos Optimization. IEEE Transactions on Evolutionary Computation. 10.1109/TEVC.2022.3153933.

2021

  • A. Shirazi, J. Ceberio, J.A. Lozano. A Simulation Tool for Orbit Propagation and Trajectory Visualization. IEEE Aerospace and Electronic Magazine. Vol. 36, No. 8, Pp. 4-20. August 2021.
  • I. Dorado, J. Ceberio. Analyzing Elementary Landscapes in Graph Partitioning Problems. XIV Congreso Español de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB 2020-21).Actas de la XIX Conferencia de la Asociación Española para la Inteligencia Artificial, pp.459-464.
  • D. Jimenez, J. Ceberio, J.A. Lozano. Bayesian Optimization for Permutations Spaces: A preliminary approach. XIV Congreso Español de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB 2020-21).Actas de la XIX Conferencia de la Asociación Española para la Inteligencia Artificial, pp.453-458.
  • I. Gago, U. Aldasoro, J. Ceberio, M. Merino. A two stage stochastic optimization model for ambulance location-allocation under coverage equity and response time efficiency. The 34th Conference of the European Chapter on Combinatorial Optimization (ECCO-2021).
  • A. Irazusta, J. Ceberio, A. Mendiburu. Exploratory Analysis of the Monte Carlo Tree Search For Solving The Linear Ordering Problem. Workshop on Evolutionary Computation for Permutation Problems. 2021 Genetic and Evolutionary Computation Conference (GECCO-2021). GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion pp. 1433-1441.
  • X. Benavides, L. Hernando, J. Ceberio. On the symmetry of the Quadratic Assignment Problem through Elementary Landscape Decomposition. Workshop on Evolutionary Computation for Permutation Problems. 2021 Genetic and Evolutionary Computation Conference (GECCO-2021). GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion pp. 1414-1422.
  • J. Alza, M. Barlett, J. Ceberio, J. McCall. Towards the Landscape Rotation as a Perturbation Strategy on the Quadratic Assignment Problem. Workshop on Evolutionary Computation for Permutation Problems. 2021 Genetic and Evolutionary Computation Conference (GECCO-2021). GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion pp. 1405-1413.

2020

  • R. Solozabal, J. Ceberio, M. Taki. Constrained Combinatorial Optimization with Reinforcement Learning. arXiv:2006.11984
  • V. Santucci, J. Ceberio, M. Baioletti. Gradient Search in the Space of Permutations. In proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO-2020) Companion, Cancun, Mexico. Workshop on Evolutionary Computation for Permutation Problems. Pp. 1704-1711. Slides
  • E. Arza, J. Ceberio, A. Perez, E. Irurozki. An adaptive neuroevolution-based hyperheuristic. In proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO-2020), Cancun, Mexico, Pp. 111-112. Poster.
  • M. Malagon, E. Irurozki, J. Ceberio. Alternative representations for codifying solutions of permutation-based problems. 2020 IEEE Congress on Evolutionary Computation (CEC-2020), Glasgow, United Kingdom, 2020, pp. 1-8.
  • E. Arza, A. Perez, E. Irurozki, J. Ceberio. Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. arXiv:1910.08800
  • E. Arza, A. Perez, E. Irurozki, J. Ceberio. Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. Swarm and Evolutionary Computation. https://doi.org/10.1016/j.swevo.2020.100740
  • R. Solozabal, J. Ceberio, A. Sanchoyerto, L. Zabala, B. Blanco, F. Liberal. Virtual Network Function Placement Optimization With Deep Reinforcement Learning. IEEE Journal on Selected Areas in Communications. Special Issue on Leveraging Machine Learning in SDN/NFV-Based Networks.Vol. 38, No. 2, Pp. 292-303. February 2020. https://doi.org/10.1109/JSAC.2019.2959183
  • V. Santucci, J. Ceberio. Using Pairwise Precedences for Solving the Linear Ordering Problem. Applied Soft Computing Journal. Vol. 87, 2020. https://doi.org/10.1016/j.asoc.2019.105998

2019

  • A. Shirazi, J. Ceberio, J.A. Lozano. An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit. Aerospace Science and Technology. Vol. 94, 2019. https://doi.org/10.1016/j.ast.2019.105400
  • A. Shirazi, J. Ceberio, J.A. Lozano. Optimal multi-impulse space rendezvous considering limited impulse using a discretized Lambert problem combined with evolutionary algorithms. 8th European Conference for Aeronautics and Space Sciences (EUCASS), Madrid, Spain, 1-4 July, 2019. doi: 10.13009/EUCASS2019-215.
  • E. Garcia, J. Ceberio, J.A. Lozano. Hybrid Heuristics for the Linear Ordering Problem. 2019 IEEE Congress on Evolutionary Computation (CEC-2019), pp. 1431-1438, Wellington, New Zeland.
  • E. Arza, J. Ceberio, E. Irurozki, A. Perez. Approaching the Quadratic Assignment Problem with Kernels of Mallows Models under the Hamming Distance. 2019 Genetic and Evolutionary Computation Conference (GECCO-2019), pp. 141-142. Poster.
  • I. Mendialdua, M. Maritxalar, A. Arruarte, J. Ceberio, I. Irigoien, J.F. Lukas, J. Ibanez. Using Flipped Classroom in Computer Science. Fifteenth International Conference on Technology, Knowledge and Society (ICTKS), Barcelona, Spain, 11-12 March, 2019. Poster.
  • J. Alza, M. Barlett, J. Ceberio, J. McCall. On the Definition of Dynamic Optimization Problems under the Rotation of the Landscape. Workshop on Evolutionary Computation for Permutation Problems. 2019 Genetic and Evolutionary Computation Conference (GECCO-2019), pp. 1518-1526.
  • B. Calvo, O. M. Shir, J. Ceberio, C. Doerr, T. Back, J.A. Lozano. Bayesian Performance Analysis for Black-Box Optimization Benchmarking. Workshop on Black Box Discrete Optimization Benchmarking. 2019 Genetic and Evolutionary Computation Conference (GECCO-2019), pp. 1789-1797.
  • M. Malagon, J. Ceberio. Evolving Neural Networks in Reinforcement Learning by means of UMDAc. arXiv:1904.10932.

2018

  • J. Ceberio, A. Mendiburu, J.A. Lozano. Distance-based exponential probability models on constrained combinatorial optimization problems. XIII Congreso Español de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB 2018). LNCS 11160: CAEPIA 2018 Advances in Artificial Intelligence pp. 187-197, 2018. Slides
  • A. Perez, J. Ceberio. Creating Difficult Instances of the Linear Ordering Problem. XIII Congreso Español de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB 2018). Actas CAEPIA 2018, pp. 733-738, 2018.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. Distance-based exponential probability models on constrained combinatorial optimization problems. 2018 Genetic and Evolutionary Computation Conference (GECCO-2018), Kyoto, Japan, 15-19 July 2018, pp. 137-138. Poster.
  • B. Calvo, J. Ceberio, J.A. Lozano. Bayesian Inference for Algorithm Ranking Analysis. 2018 Genetic and Evolutionary Computation Conference (GECCO-2018), Kyoto, Japan, 15-19 July 2018, pp. 324-325. Poster.
  • M. Zangari, A. A. Constantino, J. Ceberio. A Decomposition-based Local Search Algorithm for Multi-objective Sequence Dependent Setup Times Permutation Flowshop Scheduling. 2018 IEEE Congress on Evolutionary Computation (CEC-2018), Rio de Janeiro, Brazil, 8-13 July 2018, pp. 1315-1322.
  • A. Perez, J. Ceberio, J.A. Lozano. Are the artificially generated instances uniform in terms of difficulty? 2018 IEEE Congress on Evolutionary Computation (CEC-2018), Rio de Janeiro, Brazil, 8-13 July 2018, pp. 1323-1330.
  • J. Alza, J. Ceberio, B. Calvo. Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. 2018 IEEE Congress on Evolutionary Computation (CEC-2018), Rio de Janeiro, Brazil, 8-13 July 2018, pp. 561-568.
  • A. Shirazi, J. Ceberio, J.A. Lozano. Spacecraft Trajectory Optimization: A review of Models, Objectives, Approaches and Solutions. Progress in Aerospace Sciences. Vol. 102, Pp. 76-98. 2018.
  • M. Zangari, J. Ceberio, A.A. Constantino. A Decomposition-based Kernel of Mallows Models Algorithm for bi- and tri-objective Permutation Flowshop Scheduling Problem. Applied Soft Computing. Vol 71, pp 526-537. 2018.
  • E. Irurozki, J. Ceberio, J. Santamaria, R. Santana, A. Mendiburu. perm_mateda: A matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems. ACM Transactions on Mathematical Software. Vol. 44, No. 4, Article 47 (July 2018), 13 pages.
  • J. Ceberio, B. Calvo, A. Mendiburu, J.A. Lozano. Multi-objectivising Combinatorial Optimisation Problems by means of Elementary Landscape Decomposition. Evolutionary Computation. Vol. 27, No.2, Pp. 291-311, 2018. Supplementary material.
  • J. Ceberio, B. Calvo, A. Mendiburu, J.A. Lozano. Zorizko instantzia uniformeak sortzen al dira optimizazio konbinatorioan? Ekaia, 2018. DOI: 10.1387/ekaia.18877. PDF.

2017

  • J. Ceberio, A. Mendiburu, J.A. Lozano. A Square Lattice Probability Model for Optimising the Graph Partitioning Problem. 2017 IEEE Congress on Evolutionary Computation (CEC-2017), pp. 1629-1636, Donostia/San Sebastian, Spain, 5-8 June 2017. Supplementary material. Slides.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. Are We Generating Instances Uniformly at Random? 2017 IEEE Congress on Evolutionary Computation (CEC-2017), pp. 1645-1651, Donostia/San Sebastian, Spain, 5-8 June 2017. Slides.
  • A. Shirazi, J. Ceberio, J.A. Lozano. Evolutionary Algorithms in Optimal Low-Thrust Trajectory Design for Spacecraft Orbital Precession Mission. 2017 IEEE Congress on Evolutionary Computation (CEC-2017), pp. 1779-1786, Donostia/San Sebastian, Spain, 5-8 June 2017.

2016

  • I. Roman, J. Ceberio, A. Mendiburu, J.A. Lozano. Bayesian Optimization for Parameter Tuning in Evolutionary Algorithms. 2016 IEEE World Congress on Computational Intelligence (WCCI-2016), pp. 4839-4845, Vancouver, Canada, 25-29 July 2016. Supplementary material.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. A Note on the Boltzmann Distribution and the Linear Ordering Problem. Conference of the Spanish Association for Artificial Intelligence, pp. 441-446, Salamanca, Spain, 13-15 September 2016.

2015

  • J. Ceberio, B. Calvo, A. Mendiburu, J.A. Lozano. Multiobjectivising the Quadratic Assignment Problem by means of an Elementary Landscape Decomposition. Advances in Artificial Intelligence: 16th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2015 Albacete, Spain, November 9--12, 2015 Proceedings. Supplementary material. 2nd Best Paper Award.
  • J. Ceberio, E. Irurozki, A. Mendiburu, J.A. Lozano. A Review of Distances for the Mallows and Generalized Mallows Estimation of Distribution Algorithms. Journal of Computational Optimization and Applications. Vol. 62, No. 2, Pp. 545-564. Supplementary Data.
  • J. Ceberio. Solving Permutation-based Combinatorial Optimization Problems with Estimation of Distribution Algorithms and Extensions Thereof. LAP Lambert Academic Publishing . ISBN 978-3-659-67080-0.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. Kernels of Mallows Models for Solving Permutation-based Problems. In Proceedings of 2015 Genetic and Evolutionary Computation Conference (GECCO-2015), pp. 505-512, Madrid, Spain, 11-15, July 2015. Best paper nomination, Supplementary Material. Slides.
  • J. Ceberio, R. Santana, A. Mendiburu, J.A. Lozano. Mixtures of Generalized Mallows models for solving the Quadratic Assignment Problem. 2015 IEEE Congress on Evolutionary Computation (CEC-2015),pp.2050-2057, Sendai, Japan, 25-28 May 2015.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. A comparison of Estimation of Distribution Algorithms for the Linear Ordering Problem. X Congreso Español de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB-2015), pp. 19-25, Merida, Spain, 4-6 February 2015. Slides.
  • J. Santamaria, J. Ceberio, R. Santana, A. Mendiburu, J.A. Lozano. Introducing Mixtures of Generalized Mallows in Estimation of Distribution Algorithms. X Congreso Español de Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (MAEB-2015), pp. 97-102, Merida, Spain, 4-6 February 2015. Slides.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. The Linear Ordering Problem Revisited. European Journal of Operational Research. Vol. 241, No. 3, Pp. 686-696. Elsevier. Supplementary Data.

2014

  • E. Irurozki, J. Ceberio, B. Calvo, J.A. Lozano. Mallows model under the Ulam distance: a feasible combinatorial approach. Neural Information Processing Systems 2014, Workshop on Analysis of Rank Data, Montreal, Canada 8-13 December 2014
  • E. Irurozki, J. Ceberio, B. Calvo, J.A. Lozano. Sampling and learning the Mallows model under the Ulam distance. Department of Computer Science and Artificial Intelligence. University of the Basque Country UPV/EHU. Download.
  • J. Ceberio, E. Irurozki, A. Mendiburu, J.A. Lozano. Extending Distance-based Ranking Models in Estimation of Distribution Algorithms. 2014 IEEE Congress on Evolutionary Computation (CEC-2014), pp. 2459-2466, Beijing, China, 6-11 July 2014. Supplementary Data.

2013

  • J. Ceberio, L. Hernando, A. Mendiburu, J.A. Lozano. Understanding Instance Complexity in the Linear Ordering Problem. Intelligent Data Engineering and Automated Learning -- IDEAL 2013: 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Supplementary Data.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. The Plackett-Luce Ranking Model on Permutation-based Optimization Problems. 2013 IEEE Congress on Evolutionary Computation (CEC-2013), pp. 494 - 501, Cancun, Mexico, 20-23 June 2013. Supplementary Data.
  • J. Ceberio, E. Irurozki, A. Mendiburu, J.A. Lozano. A Distance-based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. IEEE Transactions on Evolutionary Computation. Vol 18, No. 2, Pp. 286-300. April 2014. Supplementary Data.

2012

  • J. Ceberio, E. Irurozki, A. Mendiburu, J.A. Lozano. A review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems. Progress in Artificial Intelligence. Vol 1, No. 1, Pp. 103-117. April 2012. Springer. Supplementary Data.

2011

  • J. Ceberio, A. Mendiburu, J.A. Lozano. Introducing The Mallows Model on Estimation of Distribution Algorithms.Neural Information Processing: 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part II. Pp. 461-470.
  • J. Ceberio, A. Mendiburu, J.A. Lozano. A Preliminary Study on EDAs for Permutation Problems Based on Marginal-based Models. In Proceedings of 2011 Genetic and Evolutionary Computation Conference (GECCO-2011), Dublin, Ireland, 12-16, July 2011. Pp. 609-616.

2007

  • O. Davidyuk, J. Ceberio and J. Riekki. An Algorithm for Task-Based Application Composition. In Proceedings of International Conference on Software Engineering and Applications (SEA-2007), Cambridge, Massachusetts, USA, November 2007.
  • O. Davidyuk, I. Selek, J. Ceberio and J. Riekki. Application of Micro-Genetic Algorithm for Task Based Computing. In Proceedings of International Conference on Intelligent Pervasive Computing (IPC-2007), Jeju Island, Korea, October 2007.
  • O. Davidyuk, J. Ceberio and J. Riekki. An application allocation algorithm for pervasive environments. In Proceedings of IADIS International Conference on Intelligent Systems and Agents (ISA-2007), Lisbon, Portugal, 3-5 July 2007.