Publicaciones (66) Publicaciones de JOSU CEBERIO URIBE

2024

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

    Chaos, Solitons and Fractals, Vol. 181

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

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

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

    Expert Systems with Applications, Vol. 249

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

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

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)

  2. Approaching Epistemic and Aleatoric uncertainty with Evolutionary Optimization: Examples and Challenges

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  3. Bayesian Performance Analysis for Algorithm Ranking Comparison

    IEEE Transactions on Evolutionary Computation, Vol. 26, Núm. 6, pp. 1281-1292

  4. EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization

    IEEE Transactions on Evolutionary Computation, Vol. 26, Núm. 5, pp. 1144-1156

  5. Evolutionary Approach to Model Calibration with Uncertainty: An Application to Breast Cancer Growth Model

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  6. Implementing the cumulative difference plot in the IOHanalyzer

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

2021

  1. Exploratory analysis of the Monte Carlo tree search for solving the linear ordering problem

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

  2. On the symmetry of the quadratic assignment problem through elementary landscape decomposition

    GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

  3. Simulation Framework for Orbit Propagation and Space Trajectory Visualization

    IEEE Aerospace and Electronic Systems Magazine, Vol. 36, Núm. 8, pp. 4-20