Publicaciones en las que colabora con Miguel Ángel Vega Rodríguez (12)

2015

  1. A Comparative Analysis of Adaptive Solutions for Grid Environments

    International Journal of Parallel Programming, Vol. 43, Núm. 5, pp. 786-811

  2. Intelligent self-adaptive resources selection for grid applications

    Concurrency Computation , Vol. 27, Núm. 14, pp. 3539-3560

2013

  1. An efficient and self-Adaptive model based on scatter search: Solving the grid resources selection problem

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

  2. Meta-schedulers for grid computing based on multi-objective swarm algorithms

    Applied Soft Computing Journal, Vol. 13, Núm. 4, pp. 1567-1582

  3. Solución Auto-adaptativa para Selección Eficiente de Recursos en Entornos Grid. Aplicando Inteligencia Colectiva

    Actas de las XXIV Jornadas de Paralelismo

2012

  1. Multiobjective optimization comparison - MOSWO vs MOGSA - For solving the job scheduling problem in grid environments

    Proceedings of the 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2012

  2. Nature-inspired algorithms applied to an efficient and self-adaptive resources selection model for grid applications

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

  3. Small-world optimization applied to job scheduling on grid environments from a multi-objective perspective

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

2011

  1. Evaluation of multiobjective swarm algorithms for grid scheduling

    International Conference on Intelligent Systems Design and Applications, ISDA

  2. Multi-objective artificial bee colony for scheduling in grid environments

    IEEE SSCI 2011 - Symposium Series on Computational Intelligence - SIS 2011: 2011 IEEE Symposium on Swarm Intelligence