Application of Micro-Genetic Algorithm for Task Based Computing. - Oleg Davidyuk; István Selek; Josu Ceberio; Jukka Riekki (IPC, 2007)

A preliminary study on EDAs for permutation problems based on marginal-based models. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (GECCO, 2011)

Introducing the Mallows Model on Estimation of Distribution Algorithms. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (ICONIP (2), 2011)

A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (Prog. Artif. Intell., 2012)

The Plackett-Luce ranking model on permutation-based optimization problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2013)

Understanding Instance Complexity in the Linear Ordering Problem. - Josu Ceberio; Leticia Hernando; Alexander Mendiburu; José Antonio Lozano 001 (IDEAL, 2013)

Extending distance-based ranking models in estimation of distribution algorithms. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Congress on Evolutionary Computation, 2014)

A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2014)

Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. - Josu Ceberio; Borja Calvo; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2015)

Mixtures of Generalized Mallows models for solving the quadratic assignment problem. - Josu Ceberio; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2015)

Kernels of Mallows Models for Solving Permutation-based Problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (GECCO, 2015)

A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms. - Josu Ceberio; Ekhine Irurozki; Alexander Mendiburu; José Antonio Lozano 001 (Comput. Optim. Appl., 2015)

The linear ordering problem revisited. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (Eur. J. Oper. Res., 2015)

A Note on the Boltzmann Distribution and the Linear Ordering Problem. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2016)

Bayesian optimization for parameter tuning in evolutionary algorithms. - Ibai Roman; Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2016)

A square lattice probability model for optimising the Graph Partitioning Problem. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2017)

Are we generating instances uniformly at random? - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2017)

Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission. - Abolfazl Shirazi; Josu Ceberio; José Antonio Lozano 001 (CEC, 2017)

Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2018)

Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. - Joan Alza; Josu Ceberio; Borja Calvo (CEC, 2018)

Are the Artificially Generated Instances Uniform in Terms of Difficulty? - Aritz Pérez; Josu Ceberio; José Antonio Lozano 001 (CEC, 2018)

A Decomposition-Based Local Search Algorithm for Multi-Objective Sequence Dependent Setup Times Permutation Flowshop Scheduling. - Murilo Zangari; Ademir Aparecido Constantino; Josu Ceberio (CEC, 2018)

Bayesian inference for algorithm ranking analysis. - Borja Calvo; Josu Ceberio; José Antonio Lozano 001 (GECCO (Companion), 2018)

Distance-based exponential probability models on constrained combinatorial optimization problems. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (GECCO (Companion), 2018)

A decomposition-based kernel of Mallows models algorithm for bi- and tri-objective permutation flowshop scheduling problem. - Murilo Zangari; Ademir Aparecido Constantino; Josu Ceberio (Appl. Soft Comput., 2018)

Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. - Ekhine Irurozki; Josu Ceberio; Josean Santamaria; Roberto Santana 001; Alexander Mendiburu (ACM Trans. Math. Softw., 2018)

Hybrid Heuristics for the Linear Ordering Problem. - Erik Garcia; Josu Ceberio; José Antonio Lozano 001 (CEC, 2019)

On the definition of dynamic permutation problems under landscape rotation. - Joan Alza; Mark Bartlett; Josu Ceberio; John McCall 001 (GECCO (Companion), 2019)

Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. - Etor Arza; Josu Ceberio; Aritz Pérez; Ekhine Irurozki (GECCO (Companion), 2019)

Bayesian performance analysis for black-box optimization benchmarking. - Borja Calvo; Ofer M. Shir; Josu Ceberio; Carola Doerr; Hao Wang 025; Thomas Bäck; José Antonio Lozano 001 (GECCO (Companion), 2019)

Evolving Neural Networks in Reinforcement Learning by means of UMDAc. - Mikel Malagon; Josu Ceberio (CoRR, 2019)

Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. - Josu Ceberio; Borja Calvo; Alexander Mendiburu; José Antonio Lozano 001 (Evol. Comput., 2019)

Alternative Representations for Codifying Solutions in Permutation-Based Problems. - Mikel Malagon; Ekhine Irurozki; Josu Ceberio (CEC, 2020)

An adaptive neuroevolution-based hyperheuristic. - Etor Arza; Josu Ceberio; Aritz Pérez; Ekhiñe Irurozki (GECCO Companion, 2020)

Gradient search in the space of permutations: an application for the linear ordering problem. - Valentino Santucci; Josu Ceberio; Marco Baioletti (GECCO Companion, 2020)

Using pairwise precedences for solving the linear ordering problem. - Valentino Santucci; Josu Ceberio (Appl. Soft Comput., 2020)

Constrained Combinatorial Optimization with Reinforcement Learning. - Ruben Solozabal; Josu Ceberio; Martin Takác 001 (CoRR, 2020)

Virtual Network Function Placement Optimization With Deep Reinforcement Learning. - Ruben Solozabal; Josu Ceberio; Aitor Sanchoyerto; Luis Zabala; Bego Blanco; Fidel Liberal (IEEE J. Sel. Areas Commun., 2020)

Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. - Etor Arza; Aritz Pérez; Ekhiñe Irurozki; Josu Ceberio (Swarm Evol. Comput., 2020)

Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem. - Joan Alza; Mark Bartlett; Josu Ceberio; John A. W. McCall (GECCO Companion, 2021)

On the symmetry of the quadratic assignment problem through elementary landscape decomposition. - Xabier Benavides; Josu Ceberio; Leticia Hernando (GECCO Companion, 2021)

Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (GECCO Companion, 2021)

Evolutionary approach to model calibration with uncertainty: an application to breast cancer growth model. - Carlos Andreu-Vilarroig; Josu Ceberio; Juan Carlos Cortés; Francisco Fernández de Vega; José Ignacio Hidalgo; Rafael-Jacinto Villanueva (GECCO Companion, 2022)

Implementing the cumulative difference plot in the IOHanalyzer. - Etor Arza; Josu Ceberio; Ekhiñe Irurozki; Aritz Pérez (GECCO Companion, 2022)

Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges. - Josu Ceberio; Juan Carlos Cortés; Francisco Fernández de Vega; Oscar Garnica; José Ignacio Hidalgo; J. Manuel Velasco; Rafael-Jacinto Villanueva (GECCO Companion, 2022)

Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. - Joan Alza; Mark Bartlett; Josu Ceberio; John A. W. McCall (PPSN (1), 2022)

Neural Combinatorial Optimization: a New Player in the Field. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CoRR, 2022)

Neural Improvement Heuristics for Preference Ranking. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CoRR, 2022)

Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182). - Josu Ceberio Uribe; Benjamin Doerr; Carsten Witt; Vicente P. Soloviev (Dagstuhl Reports, 2022)

Bayesian Performance Analysis for Algorithm Ranking Comparison. - Jairo Rojas-Delgado; Josu Ceberio; Borja Calvo; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2022)

EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization. - Abolfazl Shirazi; Josu Ceberio; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2022)

New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem. - Xabier Benavides; Josu Ceberio; Leticia Hernando; José Antonio Lozano 001 (GECCO, 2023)

Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. - Valentino Santucci; Josu Ceberio (GECCO, 2023)

On the Fair Comparison of Optimization Algorithms in Different Machines. - Etor Arza; Josu Ceberio; Ekhiñe Irurozki; Aritz Pérez (CoRR, 2023)

Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques. - Abolfazl Shirazi; Josu Ceberio; José Antonio Lozano 001 (Eng. Appl. Artif. Intell., 2023)

On the elusivity of dynamic optimisation problems. - Joan Alza; Mark Bartlett; Josu Ceberio; John McCall 001 (Swarm Evol. Comput., 2023)

Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. - Etor Arza; Josu Ceberio; Ekhiñe Irurozki; Aritz Pérez (J. Comput. Graph. Stat., 2023)

Model-based Gradient Search for Permutation Problems. - Josu Ceberio; Valentino Santucci (ACM Trans. Evol. Learn. Optim., 2023)

Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (CAEPIA, 2024)

Neural Combinatorial Optimization by Means of Partial Solution Strategies. - Andoni Irazusta Garmendia; Josu Ceberio; Alexander Mendiburu (CEC, 2024)

Model-based Gradient Search using the Plackett-Luce model. - Valentino Santucci; Josu Ceberio (GECCO Companion, 2024)

Self-Composing Policies for Scalable Continual Reinforcement Learning. - Mikel Malagon; Josu Ceberio; José Antonio Lozano 001 (ICML, 2024)

MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. - Andoni I. Garmendia; Quentin Cappart; Josu Ceberio; Alexander Mendiburu (IJCAI, 2024)

Time to Stop and Think: What kind of research do we want to do? - Josu Ceberio; Borja Calvo (CoRR, 2024)

Craftium: An Extensible Framework for Creating Reinforcement Learning Environments. - Mikel Malagon; Josu Ceberio; José Antonio Lozano 001 (CoRR, 2024)

A stochastic programming model for ambulance (re)location-allocation under equitable coverage and multi-interval response time. - Imanol Gago-Carro; Unai Aldasoro; Josu Ceberio; María Merino 001 (Expert Syst. Appl., 2024)

A roadmap for solving optimization problems with estimation of distribution algorithms. - Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (Nat. Comput., 2024)

Applicability of Neural Combinatorial Optimization: A Critical View. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (ACM Trans. Evol. Learn. Optim., 2024)

A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models. - Mikel Malagon; Ekhine Irurozki; Josu Ceberio (ACM Trans. Evol. Learn. Optim., 2024)

Neural Improvement Heuristics for Graph Combinatorial Optimization Problems. - Andoni I. Garmendia; Josu Ceberio; Alexander Mendiburu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Transforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses. - Anne Elorza; Xabier Benavides; Josu Ceberio; Leticia Hernando; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2025)