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    Listar por autor "Saborido, Rubén"

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      • An app performance optimization advisor for mobile device app marketplaces 

        Saborido, Rubén; Hindle, Abram; Alba, Enrique (Elsevier, 2018)
        On mobile phones, users and developers use apps official marketplaces serving as repositories of apps. The Google Play Store and Apple Store are the official marketplaces of Android and Apple products which offer more than ...
      • EARMO: An Energy-Aware Refactoring Approach for Mobile Apps 

        Morales, Rodrigo; Saborido, Rubén; Khomh, Foutse; Chicano, Francisco; Antoniol, Giuliano (IEEE, 2017)
        The energy consumption of mobile apps is a trending topic and researchers are actively investigating the role of coding practices on energy consumption. Recent studies suggest that design choices can conflict with energy ...
      • Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection 

        Saborido, Rubén; Ruiz, Ana B.; Bermúdez, José D.; Vercher, Enriqueta; Luque, Mariano (2015)
        In this paper, we consider a recently proposed model for portfolio selection, called Mean-Downside Risk-Skewness (MDRS) model. This modelling approach takes into account both the multidimensional nature of the portfolio ...
      • Getting the most from map data structures in Android 

        Saborido, Rubén; Morales, Rodrigo; Khomh, Foutse; Guéhéneuc, Yann-Gaël; Antoniol, Giuliano (Springer, 2018)
        A map is a data structure that is commonly used to store data as key–value pairs and retrieve data as keys, values, or key–value pairs. Although Java offers different map implementation classes, Android SDK offers other ...
      • On the use of the Lp distance in reference point-based approaches for multiobjective optimization 

        Luque, Mariano; Ruiz, Ana B.; Saborido, Rubén; Marcenaro-Gutiérrez, Óscar D. (Springer, 2015)
        Reference point-based methods are very useful techniques for solving multiobjective optimization problems. In these methods, the most commonly used achievement scalarizing functions are based on the Tchebychev distance ...
      • Preference-based evolutionary multi-objective optimization for portfolio selection: a new credibilistic model under investor preferences 

        Ruiz, Ana B.; Saborido, Rubén; Bermúdez, José D.; Luque, Mariano; Vercher, Enriqueta (Springer, 2019)
        We propose a new credibility portfolio selection model, in which a measure of loss aversion is introduced as an objective function, joint to the expected value of the returns and the below-mean absolute semi-deviation as ...
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
         

         

        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
        REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA