ListarGI-GAC - Artigos por tema "Spark"

Mostrando ítems 1-8 de 8

    • A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology 

      Teijeiro, Diego; Pardo, Xoán C.; Penas, David R.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer New York LLC, 2017)
      [Abstract] Metaheuristics are gaining increasing recognition in many research areas, computational systems biology among them. Recent advances in metaheuristics can be helpful in locating the vicinity of the global solution ...

    • Big Data Geospatial Processing for Massive Aerial LiDAR Datasets 

      Deibe, David; Amor, Margarita; Doallo, Ramón (M D P I AG, 2020-02-21)
      [Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...

    • Big Data Geospatial Processing for Massive Aerial LiDAR Datasets 

      Deibe, David; Amor, Margarita; Doallo, Ramón (MDPI AG, 2020-02-21)
      [Abstract] For years, Light Detection and Ranging (LiDAR) technology has been considered as a challenge when it comes to developing efficient software to handle the extremely large volumes of data this surveying method is ...

    • Implementing cloud-based parallel metaheuristics: an overview 

      González, Patricia; Pardo, Xoán C.; Doallo, Ramón; Banga, Julio R. (Universidad Nacional de la Plata - Facultad de Informatica, 2018-12-12)
      [Abstract] Metaheuristics are among the most popular methods for solving hard global optimization problems in many areas of science and engineering. Their parallel im- plementation applying HPC techniques is a common ...

    • Implementing Parallel Differential Evolution on Spark 

      Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer, 2016-04-02)
      [Abstract] Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. However, its ...

    • Multithreaded and Spark parallelization of feature selection filters 

      Eiras-Franco, Carlos; Bolón-Canedo, Verónica; Ramos Garea, Sabela; González-Domínguez, Jorge; Alonso-Betanzos, Amparo; Touriño, Juan (2016)
      [Abstract]: Vast amounts of data are generated every day, constituting a volume that is challenging to analyze. Techniques such as feature selection are advisable when tackling large datasets. Among the tools that provide ...

    • Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment 

      Pardo, Xoán C.; Argüeso-Alejandro, Pablo; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier BV, 2020-12)
      [Abstract] Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ...

    • Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark 

      Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Sage Publications Ltd., 2016-11-28)
      [Abstract] Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...