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Josu Ceberio
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- affiliation: University of the Basque Country, Donostia-San Sebastian, Spain
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2020 – today
- 2024
- [j20]Imanol Gago-Carro
, Unai Aldasoro, Josu Ceberio, María Merino
:
A stochastic programming model for ambulance (re)location-allocation under equitable coverage and multi-interval response time. Expert Syst. Appl. 249: 123665 (2024) - [j19]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) - [j18]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) - [j17]Mikel Malagon, Ekhine Irurozki
, Josu Ceberio
:
A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models. ACM Trans. Evol. Learn. Optim. 4(3): 18:1-18:28 (2024) - [c39]Andoni I. Garmendia
, Josu Ceberio
, Alexander Mendiburu
:
Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. CAEPIA 2024: 264-273 - [c38]Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Combinatorial Optimization by Means of Partial Solution Strategies. CEC 2024: 1-8 - [c37]Valentino Santucci
, Josu Ceberio
:
Model-based Gradient Search using the Plackett-Luce model. GECCO Companion 2024: 55-56 - [i11]Josu Ceberio, Borja Calvo:
Time to Stop and Think: What kind of research do we want to do? CoRR abs/2402.08298 (2024) - [i10]Mikel Malagon, Josu Ceberio, José Antonio Lozano:
Craftium: An Extensible Framework for Creating Reinforcement Learning Environments. CoRR abs/2407.03969 (2024) - 2023
- [j16]Abolfazl Shirazi
, Josu Ceberio
, José Antonio Lozano:
Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques. Eng. Appl. Artif. Intell. 117(Part): 105523 (2023) - [j15]Etor Arza
, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez:
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. J. Comput. Graph. Stat. 32(2): 551-566 (2023) - [j14]Joan Alza
, Mark Bartlett, Josu Ceberio, John McCall:
On the elusivity of dynamic optimisation problems. Swarm Evol. Comput. 78: 101289 (2023) - [j13]Josu Ceberio
, Valentino Santucci
:
Model-based Gradient Search for Permutation Problems. ACM Trans. Evol. Learn. Optim. 3(4): 15:1-15:35 (2023) - [c36]Xabier Benavides
, Josu Ceberio
, Leticia Hernando
, José Antonio Lozano
:
New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem. GECCO 2023: 239-247 - [c35]Valentino Santucci
, Josu Ceberio
:
Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. GECCO 2023: 367-374 - [i9]Valentino Santucci, Josu Ceberio:
Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. CoRR abs/2304.02458 (2023) - [i8]Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez:
On the Fair Comparison of Optimization Algorithms in Different Machines. CoRR abs/2305.07345 (2023) - 2022
- [j12]Abolfazl Shirazi
, Josu Ceberio
, José Antonio Lozano:
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization. IEEE Trans. Evol. Comput. 26(5): 1144-1156 (2022) - [j11]Jairo Rojas-Delgado
, Josu Ceberio
, Borja Calvo, José Antonio Lozano:
Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Trans. Evol. Comput. 26(6): 1281-1292 (2022) - [c34]Etor Arza
, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez:
Implementing the cumulative difference plot in the IOHanalyzer. GECCO Companion 2022: 11-12 - [c33]Carlos Andreu-Vilarroig
, Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, José Ignacio Hidalgo, Rafael-Jacinto Villanueva:
Evolutionary approach to model calibration with uncertainty: an application to breast cancer growth model. GECCO Companion 2022: 1895-1901 - [c32]Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, Oscar Garnica, José Ignacio Hidalgo, J. Manuel Velasco, Rafael-Jacinto Villanueva:
Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges. GECCO Companion 2022: 1909-1915 - [c31]Joan Alza
, Mark Bartlett
, Josu Ceberio
, John A. W. McCall
:
Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. PPSN (1) 2022: 533-547 - [i7]Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez:
Comparing two samples through stochastic dominance: a graphical approach. CoRR abs/2203.07889 (2022) - [i6]Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Combinatorial Optimization: a New Player in the Field. CoRR abs/2205.01356 (2022) - [i5]Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu:
Neural Improvement Heuristics for Preference Ranking. CoRR abs/2206.00383 (2022) - [i4]Josu Ceberio Uribe, Benjamin Doerr, Carsten Witt, Vicente P. Soloviev:
Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182). Dagstuhl Reports 12(5): 17-36 (2022) - 2021
- [c30]Joan Alza
, Mark Bartlett, Josu Ceberio, John A. W. McCall:
Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem. GECCO Companion 2021: 1405-1413 - [c29]Xabier Benavides
, Josu Ceberio, Leticia Hernando:
On the symmetry of the quadratic assignment problem through elementary landscape decomposition. GECCO Companion 2021: 1414-1422 - [c28]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 - 2020
- [j10]Valentino Santucci
, Josu Ceberio
:
Using pairwise precedences for solving the linear ordering problem. Appl. Soft Comput. 87: 105998 (2020) - [j9]Ruben Solozabal
, Josu Ceberio
, Aitor Sanchoyerto
, Luis Zabala
, Bego Blanco
, Fidel Liberal
:
Virtual Network Function Placement Optimization With Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. 38(2): 292-303 (2020) - [j8]Etor Arza
, Aritz Pérez, Ekhiñe Irurozki, Josu Ceberio
:
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. Swarm Evol. Comput. 59: 100740 (2020) - [c27]Mikel Malagon
, Ekhine Irurozki, Josu Ceberio
:
Alternative Representations for Codifying Solutions in Permutation-Based Problems. CEC 2020: 1-8 - [c26]Etor Arza
, Josu Ceberio
, Aritz Pérez, Ekhiñe Irurozki:
An adaptive neuroevolution-based hyperheuristic. GECCO Companion 2020: 111-112 - [c25]Valentino Santucci
, Josu Ceberio
, Marco Baioletti:
Gradient search in the space of permutations: an application for the linear ordering problem. GECCO Companion 2020: 1704-1711 - [i3]Ruben Solozabal, Josu Ceberio, Martin Takác:
Constrained Combinatorial Optimization with Reinforcement Learning. CoRR abs/2006.11984 (2020)
2010 – 2019
- 2019
- [j7]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) - [c24]Erik Garcia, Josu Ceberio
, José Antonio Lozano:
Hybrid Heuristics for the Linear Ordering Problem. CEC 2019: 1431-1438 - [c23]Etor Arza
, Josu Ceberio
, Aritz Pérez, Ekhine Irurozki:
Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. GECCO (Companion) 2019: 141-142 - [c22]Joan Alza
, Mark Bartlett
, Josu Ceberio
, John McCall:
On the definition of dynamic permutation problems under landscape rotation. GECCO (Companion) 2019: 1518-1526 - [c21]Borja Calvo
, Ofer M. Shir, Josu Ceberio
, Carola Doerr
, Hao Wang, Thomas Bäck
, José Antonio Lozano:
Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) 2019: 1789-1797 - [i2]Mikel Malagon, Josu Ceberio:
Evolving Neural Networks in Reinforcement Learning by means of UMDAc. CoRR abs/1904.10932 (2019) - [i1]Etor Arza, Aritz Pérez, Ekhine Irurozki, Josu Ceberio:
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. CoRR abs/1910.08800 (2019) - 2018
- [j6]Murilo Zangari, Ademir Aparecido Constantino, Josu Ceberio
:
A decomposition-based kernel of Mallows models algorithm for bi- and tri-objective permutation flowshop scheduling problem. Appl. Soft Comput. 71: 526-537 (2018) - [j5]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) - [c20]Josu Ceberio
, Alexander Mendiburu
, José Antonio Lozano:
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA 2018: 187-197 - [c19]Joan Alza
, Josu Ceberio
, Borja Calvo
:
Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. CEC 2018: 1-8 - [c18]Aritz Pérez, Josu Ceberio
, José Antonio Lozano:
Are the Artificially Generated Instances Uniform in Terms of Difficulty? CEC 2018: 1-8 - [c17]Murilo Zangari, Ademir Aparecido Constantino, Josu Ceberio
:
A Decomposition-Based Local Search Algorithm for Multi-Objective Sequence Dependent Setup Times Permutation Flowshop Scheduling. CEC 2018: 1-8 - [c16]Josu Ceberio
, Alexander Mendiburu, José Antonio Lozano:
Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) 2018: 137-138 - [c15]Borja Calvo
, Josu Ceberio
, José Antonio Lozano:
Bayesian inference for algorithm ranking analysis. GECCO (Companion) 2018: 324-325 - 2017
- [c14]Josu Ceberio
, Alexander Mendiburu, José Antonio Lozano:
A square lattice probability model for optimising the Graph Partitioning Problem. CEC 2017: 1629-1636 - [c13]Josu Ceberio
, Alexander Mendiburu, José Antonio Lozano:
Are we generating instances uniformly at random? CEC 2017: 1645-1651 - [c12]Abolfazl Shirazi
, Josu Ceberio
, José Antonio Lozano:
Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission. CEC 2017: 1779-1786 - 2016
- [c11]Josu Ceberio
, Alexander Mendiburu
, José Antonio Lozano:
A Note on the Boltzmann Distribution and the Linear Ordering Problem. CAEPIA 2016: 441-446 - [c10]Ibai Roman
, Josu Ceberio
, Alexander Mendiburu, José Antonio Lozano:
Bayesian optimization for parameter tuning in evolutionary algorithms. CEC 2016: 4839-4845 - 2015
- [j4]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) - [j3]Josu Ceberio
, Alexander Mendiburu
, José Antonio Lozano:
The linear ordering problem revisited. Eur. J. Oper. Res. 241(3): 686-696 (2015) - [c9]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 - [c8]Josu Ceberio
, Roberto Santana, Alexander Mendiburu
, José Antonio Lozano:
Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC 2015: 2050-2057 - [c7]Josu Ceberio
, Alexander Mendiburu
, José Antonio Lozano:
Kernels of Mallows Models for Solving Permutation-based Problems. GECCO 2015: 505-512 - 2014
- [j2]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) - [c6]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 - 2013
- [c5]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 - [c4]Josu Ceberio
, Leticia Hernando
, Alexander Mendiburu, José Antonio Lozano:
Understanding Instance Complexity in the Linear Ordering Problem. IDEAL 2013: 479-486 - 2012
- [j1]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) - 2011
- [c3]Josu Ceberio
, Alexander Mendiburu, José Antonio Lozano:
A preliminary study on EDAs for permutation problems based on marginal-based models. GECCO 2011: 609-616 - [c2]Josu Ceberio
, Alexander Mendiburu, José Antonio Lozano:
Introducing the Mallows Model on Estimation of Distribution Algorithms. ICONIP (2) 2011: 461-470
2000 – 2009
- 2007
- [c1]Oleg Davidyuk, István Selek
, Josu Ceberio
, Jukka Riekki
:
Application of Micro-Genetic Algorithm for Task Based Computing. IPC 2007: 140-145
Coauthor Index
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last updated on 2024-08-23 19:21 CEST by the dblp team
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