Publicaciones (74) Publicaciones de JOSU CEBERIO URIBE

2024

  1. A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models

    ACM Transactions on Evolutionary Learning and Optimization, Vol. 4, Núm. 3

  2. A network-based model to assess vaccination strategies for the COVID-19 pandemic by using Bayesian optimization

    Chaos, Solitons and Fractals, Vol. 181

  3. A roadmap for solving optimization problems with estimation of distribution algorithms

    Natural Computing, Vol. 23, Núm. 1, pp. 99-113

  4. A stochastic programming model for ambulance (re)location–allocation under equitable coverage and multi-interval response time

    Expert Systems with Applications, Vol. 249

  5. Applicability of Neural Combinatorial Optimization: A Critical View

    ACM Transactions on Evolutionary Learning and Optimization, Vol. 4, Núm. 3

  6. Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  7. MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization

    IJCAI International Joint Conference on Artificial Intelligence

  8. Model-based Gradient Search using the Plackett-Luce model

    GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion

  9. Neural Combinatorial Optimization by Means of Partial Solution Strategies

    2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings

  10. ON THE FAIR COMPARISON OF OPTIMIZATION ALGORITHMS IN DIFFERENT MACHINES

    Annals of Applied Statistics, Vol. 18, Núm. 1, pp. 42-62

  11. Self-Composing Policies for Scalable Continual Reinforcement Learning

    Proceedings of Machine Learning Research

  12. Transforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses

    IEEE Transactions on Evolutionary Computation

2023

  1. Comparing Two Samples Through Stochastic Dominance: A Graphical Approach

    Journal of Computational and Graphical Statistics, Vol. 32, Núm. 2, pp. 551-566

  2. Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms

    GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference

  3. Model-based Gradient Search for Permutation Problems

    ACM Transactions on Evolutionary Learning and Optimization, Vol. 3, Núm. 4

  4. Neural Improvement Heuristics for Graph Combinatorial Optimization Problems

    IEEE Transactions on Neural Networks and Learning Systems

  5. New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem

    GECCO 2023 - Proceedings of the 2023 Genetic and Evolutionary Computation Conference

  6. On the elusivity of dynamic optimisation problems

    Swarm and Evolutionary Computation, Vol. 78

  7. Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques

    Engineering Applications of Artificial Intelligence, Vol. 117

2022

  1. Analysing the Fitness Landscape Rotation for Combinatorial Optimisation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)