• A characterisation of reliability tools for Software Defined Networks 

      Lavado, Leticia; Panizo, Laura; Gallardo, María del Mar; Merino, Pedro (Sistedes-Biblioteca digital, 2017)
      Software Defined Network (SDN) is a new paradigm in networking that introduces great flexibility, allowing the dynamic configuration of parts of the network through centralised programming. SDN has been successfully applied ...
    • A generic, collaborative framework for internal constraint solving 

      Fernández-Leiva, Antonio José (2002)
      Esta tesis propone un esquema genérico y cooperativo para CLP(Interval(X)) donde X es cualquier dominio de computación con estructura de retículo. El esquema, que está basado en la teoría de retículos, es un enfoque general ...
    • A Genetic Algorithm for solving the Discrete Ordered Median Problem with Induced Order 

      Dominguez, Enrique (2017-07-18)
      The Discrete Ordered Median Problem with Induced Ordered (DOMP+IO) is a multi-facility version of the classical discrete ordered median problem (DOMP), which has been widely studied. Several exact methods have been ...
    • A Linda-based Platform for the Parallel Execution of Out-place Model Transformations 

      Burgueño, Loli; Wimmer, Manuel; Vallecillo, Antonio (2017)
      Context: The performance and scalability of model transformations is gaining interest as industry is progressively adopting model-driven techniques and multicore computers are becoming commonplace. However, existing model ...
    • A methodology for obtaining More Realistic Cross-Layer QoS Measurements in mobile networks: A VoIP over LTE Use Case 

      Rivas-Tocado, Francisco Javier (Servicio de Publicaciones y Divulgación Científica, 2015)
      Los servicios de voz han sido durante mucho tiempo la primera fuente de ingresos para los operadores móviles. Incluso con el protagonismo creciente del tráfico de datos, los servicios de voz seguirán jugando un papel ...
    • A methodology to find the elementary landscape decomposition of combinatorial optimization problems 

      Chicano, Francisco; Whitley, L. Darrell; Alba-Torres, Enrique (2014-10-03)
      A small number of combinatorial optimization problems have search spaces that correspond to elementary landscapes, where the objective function f is an eigenfunction of the Laplacian that describes the neighborhood structure ...
    • A Milestone-Driven Approach for Lab Assignments Evaluation in Information Security 

      Nuñez, David; Moyano, Francisco; Nieto, Ana; Ortega, Juan J.; Agudo-Ruiz, Isaac; [et al.] (2014-09-17)
      In this paper we describe a methodology for designing and evaluating lab assignments based on the fulfilment of milestones. The approach relies on the integration of ICTs with an automatic, milestone-based evaluation. The ...
    • A Multi-Objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics 

      Zambrano-Vega, Cristian; Nebro, Antonio J.; García-Nieto, José; Aldana-Montes, Jose Francisco (2017-05-02)
      The alignment of more than two biological sequences is a widely used technique in a number of areas of computational biology. However, finding an optimal alignment has been shown to be an NP-complete optimization problem. ...
    • A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy 

      López-Camacho, Esteban; García Godoy, María Jesús; García-Nieto, José; Nebro, Antonio J.; Aldana-Montes, Jose Francisco (2016-07-12)
      Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with ...
    • A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem 

      Chicano, Francisco; Cervantes, Alejandro; Luna, Francisco; Recio, Gustavo (2014-10-07)
      The Software Project Scheduling (SPS) problem refers to the distribution of tasks during a software project lifetime. Software development involves managing human resources and a total budget in an optimal way for a ...
    • A parallel evolutionary algorithm for prioritized pairwise testing of software product lines 

      Lopez-Herrejon, Roberto E.; Ferrer, Javier; Chicano, Francisco; Haslinger, Evelyn Nicole; Eyed, Alexander; [et al.] (2014-10-07)
      Software Product Lines (SPLs) are families of related software systems, which provide different feature combinations. Different SPL testing approaches have been proposed. However, despite the extensive and successful use ...
    • A people-oriented paradigm for smart cities 

      Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos (2017-05-04)
      Most works in the literature agree on considering the Internet of Things (IoT) as the base technology to collect information related to smart cities. This information is usually offered as open data for its analysis, and ...
    • A Self-Adaptive Evolutionary Approach to the Evolution of Aesthetic Maps for a RTS Game 

      Lara-Cabrera, Raúl; Cotta, Carlos; Fernández-Leiva, Antonio J. (2014-04-22)
      Procedural content generation (PCG) is a research eld on the rise,with numerous papers devoted to this topic. This paper presents a PCG method based on a self-adaptive evolution strategy for the automatic generation of ...
    • A similarity measure for cyclic unary regular languages 

      Dassow, Jürgen; Martín Reyes, Gema María; Vico-Vela, Francisco Jose (IOS Press, 2009)
      A cyclic unary regular language is a regular language over a unary alphabet that is represented by a cyclic automaton. We propose a similarity measure for cyclic unary regular languages by modifying the Jaccard similarity ...
    • A Simulation Tool for tccp Programs 

      Gallardo, María del Mar; Lavado, Leticia; Panizo, Laura (2017-07-24)
      The Timed Concurrent Constraint Language tccp is a declarative synchronous concurrent language, particularly suitable for modelling reactive systems. In tccp, agents communicate and synchronise through a global constraint ...
    • A spatially-structured PCG method for content diversity in a Physics-based simulation game 

      Lara-Cabrera, Raúl; Gutierrez-Alcoba, Alejandro; Fernández-Leiva, Antonio José (2016-01-18)
      This paper presents a spatially-structured evolutionary algorithm (EA) to procedurally generate game maps of di ferent levels of di ficulty to be solved, in Gravityvolve!, a physics-based simulation videogame that we have ...
    • A Study of Archiving Strategies in Multi-Objective PSO for Molecular Docking 

      García-Nieto, José; López-Camacho, Esteban; García-Godoy, María Jesús; Nebro, Antonio J.; Durillo, Juan J.; [et al.] (2016-09-30)
      Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective ...
    • A Study of the Combination of Variation Operators in the NSGA-II Algorithm 

      Nebro, Antonio Jesús; Durillo, Juan José; Machín, Mirialys; Coello Coello, Carlos A.; Dorronsoro, Bernabé (Springer, 2013)
      Multi-objective evolutionary algorithms rely on the use of variation operators as their basic mechanism to carry out the evolutionary process. These operators are usually fixed and applied in the same way during algorithm ...
    • A Study on Multimemetic Estimation of Distribution Algorithms 

      Nogueras, Rafael; Cotta, Carlos (2014-09-23)
      Multimemetic algorithms (MMAs) are memetic algorithms in which memes (interpreted as non-genetic expressions of problem solving strategies) are explicitly represented and evolved alongside genotypes. This process is ...
    • Abordando los distintos niveles de colaboración entre dispositivos en entornos IoT 

      Flores-Martin, Daniel; Canal-Velasco, Jose Carlos; Berrocal, Javier; Murillo, Juan Manuel (2019-09-11)
      Hoy en día, hay millones de dispositivos conectados a Internet. Esto es lo que conocemos como Internet de las Cosas. La integración de estos dispositivos inteligentes con los protocolos de la Web de las Cosas los hace más ...