• On Meme Self-Adaptation in Spatially-Structured Multimemetic Algorithms 

      Nogueras, Rafael; Cotta, Carlos (2014-09-23)
      Multimemetic algorithms (MMAs) are memetic algorithms that explicitly exploit the evolution of memes, i.e., non-genetic expressions of problem-solving strategies. We consider a class of MMAs in which these memes are rewriting ...
    • On Softening OCL Invariants 

      Gogolla, Martin; Vallecillo-Moreno, Antonio Jesus (Association Internationale pour les Technologies Objets (AITO), 2019-09-23)
      Invariants play a crucial role in system development. This contribution focuses on invariants in systems with so-called occurrence uncertainty, where we are interested in deciding whether a certain population (a set of ...
    • On the Application of SAT Solvers to the Test Suite Minimization Problem 

      Arito, Franco; Chicano, Francisco; Alba-Torres, Enrique (2014-10-06)
      The Test Suite Minimization problem in regression testing is a software engineering problem which consists in selecting a set of test cases from a large test suite that satisfies a given condition, like maximizing the ...
    • On the atomic decomposition length of graphs and tensegrities 

      Fernández Rodríguez, Jose David; Orden Martín, David (2013-12-03)
      In this study, a complexity measure for graphs and tensegrities is proposed, based on the concept of atomic decomposition.We state several results on the relationship between atomic decompositions and spaces of self-stresses ...
    • On the Modular Specification of NFPs: A Case Study 

      Moreno-Delgado, Antonio; Troya, Javier; Durán, Francisco; Vallecillo, Antonio (Jornadas de Ingeniería del Software y Bases de Datos, 2013-09)
      The modular specification of non-functional properties of systems is a current challenge of Software Engineering, for which no clear solution exists. However, in the case of Domain-Specific Languages some successful proposals ...
    • On the performance of some bioinspired genetic operators in complex structures evolution 

      Casas Serrano, María José; Vico-Vela, Francisco Jose (ACM, 2009)
      Indirect encoding methods demand operators that minimize the disruption of conventional operators, widely studied in direct encoding approaches. While some efforts have already been done in this direction, the growing field ...
    • On the performance of some bioinspired genetic operators in complex structures evolution (long version) 

      Casas, M.; Vico-Vela, Francisco Jose (2017-01-10)
      Indirect encoding methods demand operators that minimize the disruption of conventional operators, widely studied in direct encoding approaches. While some efforts have already been done in this direction, the growing field ...
    • On the Realization of TractsTool 

      Burgueño, Maria Dolores; Wimmer, Manuel; Troya, Javier; Vallecillo, Antonio (2013-09-04)
      Model transformations play an important role in Model-Driven Engineering (MDE), and as their size and complexity grow, there is an increasing need to count on tool support for testing their correctness. In this ...
    • One step towards dynamically programmable things: an implementation using Beacons 

      Bandera, David; Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos; Pimentel, Ernesto (2019-06-17)
      The number of devices connected to the internet is constantly increasing. This large amount of devices can be used to improve people’s interaction with their environment. However, this also implies an increase in the ...
    • Optimising Humanness: Designing the best human-like Bot for Unreal Tournament 2004 

      Mora, Antonio M.; Gutiérrez-Rodríguez, Álvaro; Fernández-Leiva, Antonio J. (Springer-Verlag, 2017)
      This paper presents multiple hybridizations of the two best bots on the BotPrize 2014 competition, which sought for the best humanlike bot playing the First Person Shooter game Unreal Tournament 2004. To this aim the ...
    • Optimización conjunta de la gestión de la movilidad y la capacidad en redes 5G 

      Ramírez Arroyo, Alejandro; Valenzuela Valdés, Juan F.; Carmona Murillo, Javier; Luna Valero, Francisco; Valenzuela Valdés, Antonio; [et al.] (2019-09-05)
      Technology development is needed to meet users' traffic demands. From 2017 to 2022, global annual traffic growth is estimated at 220%. This annual growth leads in turn to an increase in the number of users connected to IP ...
    • Optimización de problemas multiobjetivo de Ingeniería Civil con jMetal 

      Nebro, Antonio J.; Zavala, Gustavo R.; Durillo, Juan J.; Luna, Francisco (2015-02-11)
      Este artículo describe el uso del framework de optimización multiobjetivo jMetal para afrontar la resolución de problemas de ingeniería civil; en particular, lo que se ha hecho ha sido integrar un software Open Source para ...
    • Optimización en videojuegos: retos para la comunidad cientí­fica 

      Lara-Cabrera, Raúl; Nogueira-Collazo, Mariela; Cotta, Carlos; Fernández-Leiva, Antonio José (2015-02-09)
      Este artículo analiza algunos de los desafíos más interesantes a los cuales los miembros de la comunidad MAEB pueden enfrentarse en el área de la aplicación de técnicas de Inteligencia Artificial/Computacional al diseño y ...
    • Optimización multi-objetivo basada en preferencias para la planificación de proyectos software 

      Saborido, Rubén; Chicano, Francisco (2015-02-10)
      En este trabajo se presenta una herramienta software, denominada Interactive SPS o iSPS, que permite resolver, de forma interactiva, instancias del problema de Planificación de Proyectos Software (SPS) haciendo uso de ...
    • Optimización robusta de carteras de inversión usando muestreo estocástico y metaheurísticas 

      Luna, Francisco; Quintana, David; García, Sandra; Isasi, Pedro (2016-09-20)
      La optimización de carteras de inversión presenta un gran número de dificultades, siendo una de las más importantes la gestión de la incertidumbre que surge en diferentes aspectos del proceso. Este trabajo propone matizar ...
    • Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms 

      Molina-Cabello, Miguel A.; Accino, Cristian; López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl (Springer, 2019)
      Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An analysis from histopathological images could predict this disease. In this way, computational image processing might support this ...
    • Optimization of massive connections in 5G networks for IoT 

      Zapata Cano, Pablo H.; Ramírez-Arroyo, Alejandro; Luna Valero, Francisco; Valenzuela Valdés, Antonio; Castillo Valdivieso, Pedro; [et al.] (2019-10-31)
      The expected traffic demands for the coming years requires a major technology development. Indeed, from 2017 to 2022, the global annual traffic growth is estimated to reach 220%. This annual growth leads in turn to an ...
    • Optimizing One Million Variable NK Landscapes by Hybridizing Deterministic Recombination and Local Search 

      Francisco, Chicano; Darrell, Whitley; Gabriela, Ochoa; Renato, Tinós (2017-07-28)
      In gray-box optimization, the search algorithms have access to the variable interaction graph (VIG) of the optimization problem. For Mk Landscapes (and NK Landscapes) we can use the VIG to identify an improving solution ...
    • Optimizing Telecommunications in Vehicular Networks with a Parallel Multiobjective PSO 

      Toutouh, Jamal; Alba-Torres, Enrique (International Society on Multiple Criteria Decision Making, 2013-06-17)
    • Panoramic Background Modeling for PTZ Cameras with Competitive Learning Neural Networks 

      Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel A. (2017-05-29)
      The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ...