Josu Ceberio

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 56

Top Topics

Optimisation Problems

Quadratic Assignment Problem

Combinatorial Optimization

Probability Model

Top Venues

GECCO Companion

GECCO (Companion)

Publications

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 (2024)
Valentino Santucci, Josu Ceberio
Model-based Gradient Search using the Plackett-Luce model. GECCO Companion (2024)
Josu Ceberio, Borja Calvo
Time to Stop and Think: What kind of research do we want to do? CoRR (2024)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
A roadmap for solving optimization problems with estimation of distribution algorithms. Nat. Comput. 23 (1) (2024)
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) (2024)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. CAEPIA (2024)
Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu
Neural Combinatorial Optimization by Means of Partial Solution Strategies. CEC (2024)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Applicability of Neural Combinatorial Optimization: A Critical View. ACM Trans. Evol. Learn. Optim. 4 (3) (2024)
Mikel Malagon, Josu Ceberio, José Antonio Lozano
Craftium: An Extensible Framework for Creating Reinforcement Learning Environments. CoRR (2024)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
On the Fair Comparison of Optimization Algorithms in Different Machines. CoRR (2023)
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) (2023)
Xabier Benavides, Josu Ceberio, Leticia Hernando, José Antonio Lozano
New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem. GECCO (2023)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. J. Comput. Graph. Stat. 32 (2) (2023)
Valentino Santucci, Josu Ceberio
Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. GECCO (2023)
Valentino Santucci, Josu Ceberio
Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. CoRR (2023)
Josu Ceberio, Valentino Santucci
Model-based Gradient Search for Permutation Problems. ACM Trans. Evol. Learn. Optim. 3 (4) (2023)
Joan Alza, Mark Bartlett, Josu Ceberio, John McCall
On the elusivity of dynamic optimisation problems. Swarm Evol. Comput. 78 (2023)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Neural Combinatorial Optimization: a New Player in the Field. CoRR (2022)
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)
Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. PPSN (1) (2022)
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)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Neural Improvement Heuristics for Preference Ranking. CoRR (2022)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
Comparing two samples through stochastic dominance: a graphical approach. CoRR (2022)
Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano
Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Trans. Evol. Comput. 26 (6) (2022)
Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
Implementing the cumulative difference plot in the IOHanalyzer. GECCO Companion (2022)
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) (2022)
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)
Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. GECCO Companion (2021)
Xabier Benavides, Josu Ceberio, Leticia Hernando
On the symmetry of the quadratic assignment problem through elementary landscape decomposition. GECCO Companion (2021)
Ruben Solozabal, Josu Ceberio, Martin Takác
Constrained Combinatorial Optimization with Reinforcement Learning. CoRR (2020)
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 (2020)
Valentino Santucci, Josu Ceberio, Marco Baioletti
Gradient search in the space of permutations: an application for the linear ordering problem. GECCO Companion (2020)
Mikel Malagon, Ekhine Irurozki, Josu Ceberio
Alternative Representations for Codifying Solutions in Permutation-Based Problems. CEC (2020)
Valentino Santucci, Josu Ceberio
Using pairwise precedences for solving the linear ordering problem. Appl. Soft Comput. 87 (2020)
Etor Arza, Josu Ceberio, Aritz Pérez, Ekhiñe Irurozki
An adaptive neuroevolution-based hyperheuristic. GECCO Companion (2020)
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) (2020)
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)
Etor Arza, Aritz Pérez, Ekhine Irurozki, Josu Ceberio
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. CoRR (2019)
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. 27 (2) (2019)
Mikel Malagon, Josu Ceberio
Evolving Neural Networks in Reinforcement Learning by means of UMDAc. CoRR (2019)
Joan Alza, Mark Bartlett, Josu Ceberio, John McCall
On the definition of dynamic permutation problems under landscape rotation. GECCO (Companion) (2019)
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)
Erik Garcia, Josu Ceberio, José Antonio Lozano
Hybrid Heuristics for the Linear Ordering Problem. CEC (2019)
Borja Calvo, Josu Ceberio, José Antonio Lozano
Bayesian inference for algorithm ranking analysis. GECCO (Companion) (2018)
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 (2018)
Aritz Pérez, Josu Ceberio, José Antonio Lozano
Are the Artificially Generated Instances Uniform in Terms of Difficulty? CEC (2018)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) (2018)
Joan Alza, Josu Ceberio, Borja Calvo
Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. CEC (2018)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA (2018)
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) (2018)
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)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Are we generating instances uniformly at random? CEC (2017)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
A square lattice probability model for optimising the Graph Partitioning Problem. CEC (2017)
Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano
Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission. CEC (2017)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
A Note on the Boltzmann Distribution and the Linear Ordering Problem. CAEPIA (2016)
Ibai Roman, Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Bayesian optimization for parameter tuning in evolutionary algorithms. CEC (2016)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Kernels of Mallows Models for Solving Permutation-based Problems. GECCO (2015)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
The linear ordering problem revisited. Eur. J. Oper. Res. 241 (3) (2015)
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) (2015)
Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC (2015)
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. CAEPIA (2015)
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)
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) (2014)
Josu Ceberio, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
Understanding Instance Complexity in the Linear Ordering Problem. IDEAL (2013)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
The Plackett-Luce ranking model on permutation-based optimization problems. IEEE Congress on Evolutionary Computation (2013)
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) (2012)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
Introducing the Mallows Model on Estimation of Distribution Algorithms. ICONIP (2) (2011)
Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
A preliminary study on EDAs for permutation problems based on marginal-based models. GECCO (2011)
Oleg Davidyuk, István Selek, Josu Ceberio, Jukka Riekki
Application of Micro-Genetic Algorithm for Task Based Computing. IPC (2007)