Josu Ceberio - RankMe

81 papers A* 3A 6B 13C 1Journal 36Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enabling Population-Based Architectures for Neural Combinatorial Optimization. CoRR Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu
2025	J	`jnl`	A Review on Single-Problem Multi-Attempt Heuristic Optimization. CoRR Judith Echevarrieta, Etor Arza, Aritz Pérez, Josu Ceberio
2025	A	`conf`	A Unified View of Bijective Transformations for Optimizing Permutation Problems. ECAI Mikel Malagón, Aimar Barrena, Hugo Iñigo, Ekhiñe Irurozki, Jose A. Lozano, Josu Ceberio
2025	A*	`conf`	Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments. ICML Mikel Malagón, Josu Ceberio, José Antonio Lozano
2025	—	`conf`	Doubly Stochastic Matrix Models and the Quadratic Assignment Problem. GECCO Companion Valentino Santucci, Josu Ceberio
2025	A	`conf`	Generating Realistic Benchmarks for Dynamic Truck and Trailer Scheduling using Gaussian Copulas. FOGA Joan Alza, Josu Ceberio, Mark Bartlett, John McCall
2025	J	`jnl`	Self-Composing Policies for Scalable Continual Reinforcement Learning. CoRR Mikel Malagón, Josu Ceberio, José Antonio Lozano
2025	J	`jnl`	Transforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses. IEEE Trans. Evol. Comput. Anne Elorza, Xabier Benavides, Josu Ceberio, Leticia Hernando, José Antonio Lozano
2024	J	`jnl`	A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models. ACM Trans. Evol. Learn. Optim. Mikel Malagón, Ekhine Irurozki, Josu Ceberio
2024	J	`jnl`	A roadmap for solving optimization problems with estimation of distribution algorithms. Nat. Comput. Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2024	J	`jnl`	A stochastic programming model for ambulance (re)location-allocation under equitable coverage and multi-interval response time. Expert Syst. Appl. Imanol Gago-Carro, Unai Aldasoro, Josu Ceberio, María Merino
2024	J	`jnl`	Applicability of Neural Combinatorial Optimization: A Critical View. ACM Trans. Evol. Learn. Optim. Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	Craftium: An Extensible Framework for Creating Reinforcement Learning Environments. CoRR Mikel Malagón, Josu Ceberio, José Antonio Lozano
2024	—	`conf`	Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut. CAEPIA Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2024	A*	`conf`	MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. IJCAI Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. CoRR Andoni I. Garmendia, Quentin Cappart, Josu Ceberio, Alexander Mendiburu
2024	—	`conf`	Model-based Gradient Search using the Plackett-Luce model. GECCO Companion Valentino Santucci, Josu Ceberio
2024	B	`conf`	Neural Combinatorial Optimization by Means of Partial Solution Strategies. CEC Andoni Irazusta Garmendia, Josu Ceberio, Alexander Mendiburu
2024	J	`jnl`	Neural Improvement Heuristics for Graph Combinatorial Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2024	A*	`conf`	Self-Composing Policies for Scalable Continual Reinforcement Learning. ICML Mikel Malagón, Josu Ceberio, José Antonio Lozano
2024	J	`jnl`	Time to Stop and Think: What kind of research do we want to do? CoRR Josu Ceberio, Borja Calvo
2023	J	`jnl`	Comparing Two Samples Through Stochastic Dominance: A Graphical Approach. J. Comput. Graph. Stat. Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2023	A	`conf`	Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. GECCO Valentino Santucci, Josu Ceberio
2023	J	`jnl`	Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms. CoRR Valentino Santucci, Josu Ceberio
2023	J	`jnl`	Model-based Gradient Search for Permutation Problems. ACM Trans. Evol. Learn. Optim. Josu Ceberio, Valentino Santucci
2023	A	`conf`	New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem. GECCO Xabier Benavides, Josu Ceberio, Leticia Hernando, José Antonio Lozano
2023	J	`jnl`	On the Fair Comparison of Optimization Algorithms in Different Machines. CoRR Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2023	J	`jnl`	On the elusivity of dynamic optimisation problems. Swarm Evol. Comput. Joan Alza, Mark Bartlett, Josu Ceberio, John McCall
2023	J	`jnl`	Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques. Eng. Appl. Artif. Intell. Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano
2022	—	`conf`	Analysing the Fitness Landscape Rotation for Combinatorial Optimisation. PPSN (1) Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
2022	—	`conf`	Approaching epistemic and aleatoric uncertainty with evolutionary optimization: examples and challenges. GECCO Companion Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, Oscar Garnica, José Ignacio Hidalgo, J. Manuel Velasco, Rafael-Jacinto Villanueva
2022	J	`jnl`	Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Trans. Evol. Comput. Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano
2022	J	`jnl`	Comparing two samples through stochastic dominance: a graphical approach. CoRR Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2022	J	`jnl`	EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization. IEEE Trans. Evol. Comput. Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano
2022	—	`conf`	Evolutionary approach to model calibration with uncertainty: an application to breast cancer growth model. GECCO Companion Carlos Andreu-Vilarroig, Josu Ceberio, Juan Carlos Cortés, Francisco Fernández de Vega, José Ignacio Hidalgo, Rafael-Jacinto Villanueva
2022	—	`conf`	Implementing the cumulative difference plot in the IOHanalyzer. GECCO Companion Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez
2022	J	`jnl`	Neural Combinatorial Optimization: a New Player in the Field. CoRR Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2022	J	`jnl`	Neural Improvement Heuristics for Preference Ranking. CoRR Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2021	—	`conf`	Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem. GECCO Companion Andoni I. Garmendia, Josu Ceberio, Alexander Mendiburu
2021	—	`conf`	On the symmetry of the quadratic assignment problem through elementary landscape decomposition. GECCO Companion Xabier Benavides, Josu Ceberio, Leticia Hernando
2021	—	`conf`	Towards the landscape rotation as a perturbation strategy on the quadratic assignment problem. GECCO Companion Joan Alza, Mark Bartlett, Josu Ceberio, John A. W. McCall
2020	B	`conf`	Alternative Representations for Codifying Solutions in Permutation-Based Problems. CEC Mikel Malagón, Ekhine Irurozki, Josu Ceberio
2020	—	`conf`	An adaptive neuroevolution-based hyperheuristic. GECCO Companion Etor Arza, Josu Ceberio, Aritz Pérez, Ekhiñe Irurozki
2020	J	`jnl`	Constrained Combinatorial Optimization with Reinforcement Learning. CoRR Ruben Solozabal, Josu Ceberio, Martin Takác
2020	—	`conf`	Gradient search in the space of permutations: an application for the linear ordering problem. GECCO Companion Valentino Santucci, Josu Ceberio, Marco Baioletti
2020	J	`jnl`	Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. Swarm Evol. Comput. Etor Arza, Aritz Pérez, Ekhiñe Irurozki, Josu Ceberio
2020	J	`jnl`	Using pairwise precedences for solving the linear ordering problem. Appl. Soft Comput. Valentino Santucci, Josu Ceberio
2020	J	`jnl`	Virtual Network Function Placement Optimization With Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. Ruben Solozabal, Josu Ceberio, Aitor Sanchoyerto, Luis Zabala, Bego Blanco, Fidel Liberal
2019	—	`conf`	Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance. GECCO (Companion) Etor Arza, Josu Ceberio, Aritz Pérez, Ekhine Irurozki
2019	—	`conf`	Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
2019	J	`jnl`	Evolving Neural Networks in Reinforcement Learning by means of UMDAc. CoRR Mikel Malagón, Josu Ceberio
2019	B	`conf`	Hybrid Heuristics for the Linear Ordering Problem. CEC Erik Garcia, Josu Ceberio, José Antonio Lozano
2019	J	`jnl`	Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem. CoRR Etor Arza, Aritz Pérez, Ekhine Irurozki, Josu Ceberio
2019	J	`jnl`	Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
2019	—	`conf`	On the definition of dynamic permutation problems under landscape rotation. GECCO (Companion) Joan Alza, Mark Bartlett, Josu Ceberio, John McCall
2018	B	`conf`	A Decomposition-Based Local Search Algorithm for Multi-Objective Sequence Dependent Setup Times Permutation Flowshop Scheduling. CEC Murilo Zangari, Ademir Aparecido Constantino, Josu Ceberio
2018	J	`jnl`	A decomposition-based kernel of Mallows models algorithm for bi- and tri-objective permutation flowshop scheduling problem. Appl. Soft Comput. Murilo Zangari, Ademir Aparecido Constantino, Josu Ceberio
2018	J	`jnl`	Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems. ACM Trans. Math. Softw. Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu
2018	B	`conf`	Are the Artificially Generated Instances Uniform in Terms of Difficulty? CEC Aritz Pérez, Josu Ceberio, José Antonio Lozano
2018	B	`conf`	Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. CEC Joan Alza, Josu Ceberio, Borja Calvo
2018	—	`conf`	Bayesian inference for algorithm ranking analysis. GECCO (Companion) Borja Calvo, Josu Ceberio, José Antonio Lozano
2018	—	`conf`	Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2018	—	`conf`	Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2017	B	`conf`	A square lattice probability model for optimising the Graph Partitioning Problem. CEC Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2017	B	`conf`	Are we generating instances uniformly at random? CEC Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2017	B	`conf`	Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission. CEC Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano
2016	—	`conf`	A Note on the Boltzmann Distribution and the Linear Ordering Problem. CAEPIA Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2016	B	`conf`	Bayesian optimization for parameter tuning in evolutionary algorithms. CEC Ibai Roman, Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms. Comput. Optim. Appl. Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2015	A	`conf`	Kernels of Mallows Models for Solving Permutation-based Problems. GECCO Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2015	B	`conf`	Mixtures of Generalized Mallows models for solving the quadratic assignment problem. CEC Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
2015	—	`conf`	Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. CAEPIA Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
2015	J	`jnl`	The linear ordering problem revisited. Eur. J. Oper. Res. Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2014	J	`jnl`	A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem. IEEE Trans. Evol. Comput. Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2014	B	`conf`	Extending distance-based ranking models in estimation of distribution algorithms. IEEE Congress on Evolutionary Computation Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2013	B	`conf`	The Plackett-Luce ranking model on permutation-based optimization problems. IEEE Congress on Evolutionary Computation Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2013	C	`conf`	Understanding Instance Complexity in the Linear Ordering Problem. IDEAL Josu Ceberio, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano
2012	J	`jnl`	A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems. Prog. Artif. Intell. Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2011	A	`conf`	A preliminary study on EDAs for permutation problems based on marginal-based models. GECCO Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2011	—	`conf`	Introducing the Mallows Model on Estimation of Distribution Algorithms. ICONIP (2) Josu Ceberio, Alexander Mendiburu, José Antonio Lozano
2007	—	`conf`	Application of Micro-Genetic Algorithm for Task Based Computing. IPC Oleg Davidyuk, István Selek, Josu Ceberio, Jukka Riekki