Publications dans lesquelles il/elle collabore avec JOSE ANTONIO LOZANO ALONSO (36)

2024

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

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

  2. Self-Composing Policies for Scalable Continual Reinforcement Learning

    Proceedings of Machine Learning Research

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

    IEEE Transactions on Evolutionary Computation

2023

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

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

2022

  1. Bayesian Performance Analysis for Algorithm Ranking Comparison

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

  2. 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

2021

  1. Simulation Framework for Orbit Propagation and Space Trajectory Visualization

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

2019

  1. An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit

    Aerospace Science and Technology, Vol. 94

  2. Bayesian performance analysis for black-box optimization benchmarking

    GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

  3. Hybrid Heuristics for the Linear Ordering Problem

    2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings

2018

  1. Are the Artificially Generated Instances Uniform in Terms of Difficulty?

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

  2. Bayesian inference for algorithm ranking analysis

    GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

  3. Distance-based exponential probability models for constrained combinatorial problems

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

  4. Distance-based exponential probability models for constrained combinatorial problems: abstract

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. Distance-based exponential probability models on constrained combinatorial optimization problems

    GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion

  6. Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions

    Progress in Aerospace Sciences, Vol. 102, pp. 76-98

  7. Zorizko instantzia uniformeak sortzen al dira optimizazio konbinatorioan?

    Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria, Núm. 34, pp. 261-277

2017

  1. A square lattice probability model for optimising the Graph Partitioning Problem

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  2. Are we generating instances uniformly at random?

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

  3. Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings