Publicaciones en las que colabora con MIGUEL DAMAS HERMOSO (13)

2022

  1. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data

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

2020

  1. A parallel and distributed multi-population GA with asynchronous migrations: Energy-time analysis for heterogeneous systems

    GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

2019

  1. Energy-aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU-GPU architectures

    Concurrency and Computation: Practice and Experience

  2. Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks

    Journal of Supercomputing, Vol. 75, Núm. 7, pp. 3397-3425

2018

  1. A power-performance perspective to multiobjective electroencephalogram feature selection on heterogeneous parallel platforms

    Journal of Computational Biology

  2. Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters

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

  3. Prediction of energy consumption in a NSGA-II-based evolutionary algorithm

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

  4. Speedup and energy analysis of EEG classification for BCI tasks on CPU-GPU clusters

    ACM International Conference Proceeding Series

2017

  1. Assessing Energy Consumption and Runtime Efficiency of Master- Worker Parallel Evolutionary Algorithms in CPU-GPU Systems

    Annals of Multicore and GPU Programming: AMGP, Vol. 4, Núm. 1, pp. 23-36

  2. Consumo de energía y asignaturas de arquitectura y tecnología de computadores

    Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 7, pp. 79-92

  3. Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures

    Cluster Computing, Vol. 20, Núm. 3, pp. 1881-1897

  4. Power-performance evaluation of parallel multi-objective EEG feature selection on CPU-GPU platforms

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

2000

  1. Genetic algorithms and neuro-dynamic programming: Application to water supply networks

    Proceedings of the 2000 Congress on Evolutionary Computation, CEC 2000