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    AutorBiblioteca de la Universidad de Málaga (304)De-Vicente-Moreno, Antonio (116)Cabezudo, Baltasar (115)García-Aranda, Miguel Ángel (111)Gomez-de-la-Torre, Maria de los Angeles (101)... másMateriaReyes, Arturo - Correspondencia (1892)Informática - Trabajos Fin de Grado (557)Turismo (341)Málaga (327)Educación (232)... másFecha2000 - 2913 (19991)1097 - 1999 (1740)

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    Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study 

    Cordero, José A.; Nebro-Urbaneja, Antonio Jesus; Barba-Gonzalez, Cristobal; Durillo, Juan J.; Garcia-Nieto, Jose Manuel; [et al.] (2016-09-15)
    Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines ...

    Caracterización hidrogeológica preliminar de la Fm. Areniscas del Aljibe. Complejo de los Flyschs del Campo de Gibraltar (Parque Natural de Los Alcornocales, provincias de Cádiz y Málaga) 

    González de Aguilar Etchemendi, José Pablo; Barbera-Fornell, Juan Antonio; Andreo-Navarro, Bartolome (Asociación Internacional de Hidrogeólogos - Grupo Español, 2022)
    La Formación Areniscas del Aljibe pertenece al denominado Flysch Numídico del Complejo del Campo de Gibraltar (Cordillera Bética). Esta unidad geológica tiene su máxima expresión cartográfica en la mitad oriental de la ...

    Coupling hydro-geo-chemical and isotopic approaches to assess the main factors controlling karst development in a fissure-dominated carbonate aquifer system (s-Spain) 

    Andreo-Navarro, Bartolome; Prieto Mera, Jorge Jesús; Barbera-Fornell, Juan Antonio (2018-09-21)
    Sierra Tejeda, Almijara and Albuñuelas mountains comprise a large outcrop (750 km² ca) of Triassic marbles in between of Málaga and Granada provinces in S Spain. They constitute a large entity carbonate aquifer system ...

    Injecting domain knowledge in multi-objective optimization problems: A semantic approach 

    Barba-Gonzalez, Cristobal; Nebro-Urbaneja, Antonio Jesus; Garcia-Nieto, Jose Manuel; Roldan-Garcia, Maria del Mar; Navas-Delgado, Ismael; [et al.] (Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos, 2022-09-05)
    In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ...

    TITAN: A knowledge-based platform for Big Data workflow management 

    Benítez-Hidalgo, Antonio; Barba-Gonzalez, Cristobal; Gutiérrez-Moncayo, Pedro; Paneque, Manuel; Nebro-Urbaneja, Antonio Jesus; [et al.] (ELSEVIER, 2021-11-28)
    Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ...

    Karst flow system information from shape analysis and numerical modeling of tracer concentration curves 

    Barbera-Fornell, Juan Antonio; Mudarra-Martinez, Matias; Andreo-Navarro, Bartolome (2016-10-05)
    Dye tracing constitute a very valuable tool for investigating the origin of groundwater and delineating flowpaths in karst media, providing direct and quantitative information about the hydraulic properties and solute ...

    Preliminary study of the impact of Guadalhorce river mouth channeling (Málaga, Spain) on groundwater and related wetlands 

    Nieto-López, José Manuel; Andreo-Navarro, Bartolome; Barbera-Fornell, Juan Antonio; Ramírez-González, José Miguel; Rendón, Manuel (2017-11-20)
    In riverine areas, many anthropogenic actions (modification of natural water courses, burying or channeling works, etc.) have been commonly applied worldwide to prevent floods in rivers, having negative environmental impacts ...

    Un Framework para Big Data Optimization Basado en jMetal y Spark 

    Barba-Gonzalez, Cristobal; Nebro-Urbaneja, Antonio Jesus; Garcia-Nieto, Jose Manuel; Cordero, José A.; Durillo, Juan J.; [et al.] (2016)
    Las metaheurísticas multi-objetivo se han convertido en técnicas muy utilizadas para la resolución de problemas complejos de optimización compuestos de varias funciones objetivo en conflicto entre sí. Nos encontramos en ...

    Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform Cristo 

    Barba-Gonzalez, Cristobal; Garcia-Nieto, Jose Manuel; Benítez-Hidalgo, Antonio; Aldana-Montes, Jose Francisco (2018-11-05)
    Inference of Gene Regulatory Networks (GRNs) remains an important open challenge in computational biology. The goal of bio-model inference is to, based on time-series of gene expression data, obtain the sparse topological ...

    Multi-Objective Big Data Optimization with jMetal and Spark 

    Barba-Gonzalez, Cristobal; Garcia-Nieto, Jose Manuel; Aldana-Montes, Jose Francisco; Nebro-Urbaneja, Antonio Jesus (2017-04-20)
    Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster ...
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    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA