• 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 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 takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks 

      Zakaria Abdelmoiz, Dahi; Alba-Torres, Enrique (ELSEVIER, 2022-02)
      Cellular networks are one of today’s most popular means of communication. This fact has made the mobile phone industry subject to a huge scientific and economic competition, where the quality of service is key. Such a ...
    • Adaptive music: Automated music composition and distribution 

      Albarracín Molina, David Daniel (2016)
      Creativity, or the ability to produce new useful ideas, is commonly associated to the human being; but there are many other examples in nature where this phenomenon can be observed. Inspired by this fact, in engineering, ...
    • AI Methods in Algorithmic Composition: A Comprehensive Survey 

      Fernández Rodríguez, Jose David; Vico-Vela, Francisco Jose (AI Access Foundation, 2013)
      Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for ...
    • An evaluation of best compromise search in graphs 

      Machuca, Enrique; Mandow-Andaluz, Lorenzo; Galand, Lucie (Springer, 2013-09)
      This work evaluates two different approaches for multicriteria graph search problems using compromise preferences. This approach focuses search on a single solution that represents a balanced tradeoff between objectives, ...
    • An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum 

      Torres, Daniel R.; Martín, Cristian; Díaz, Manuel; Rubio-Muñoz, Bartolome (Elsevier, 2021-06-16)
      The current dependency of Artificial Intelligence (AI) systems on Cloud computing implies higher transmission latency and bandwidth consumption. Moreover, it challenges the real-time monitoring of physical objects, e.g., ...
    • Application of data augmentation techniques towards metabolomics 

      Moreno-Barea, Francisco J.; Franco, Leonardo; Elizondo, David A.; Grootveld, Martin (Elsevier, 2022-07-27)
      Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in the ...
    • Assessing the space of phylogenetic trees to measure similarities between cell lineage trees 

      Fernández Rodríguez, Jose David; Vico-Vela, Francisco Jose (2008)
    • Autocorrelation Measures for the Quadratic Assignment Problem 

      Chicano, Francisco; Luque-Polo, Gabriel Jesús; Alba-Torres, Enrique
      In this article we provide an exact expression for computing the autocorrelation coefficient $\xi$ and the autocorrelation length $\ell$ of any arbitrary instance of the Quadratic Assignment Problem (QAP) in polynomial ...
    • Automating the search of molecular motor templates by evolutionary methods 

      Fernández Rodríguez, Jose David; Vico-Vela, Francisco Jose (Elsevier, 2011)
      Biological molecular motors are nanoscale devices capable of transforming chemical energy into mechanical work, which are being researched in many scientific disciplines. From a computational point of view, the characteristics ...
    • Behavior finding: Morphogenetic Designs Shaped by Function 

      Lobo Fernández, Daniel; Fernández Rodríguez, Jose David; Vico-Vela, Francisco Jose (2013-12-10)
      Evolution has shaped an incredible diversity of multicellular living organisms, whose complex forms are self-made through a robust developmental process. This fundamental combination of biological evolution and development ...
    • Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica 

      Barba Gonzalez, Critobal; Aldana-Montes, Jose Francisco; García-Nieto, José (2018-11-05)
      En las últimas décadas el aumento de fuentes de información en diferentes campos de la sociedad desde la salud hasta las redes sociales, ha puesto de manifiesto la necesidad de nuevas técnicas para su análisis, lo que se ...
    • Biomimetic Engineering 

      Vico-Vela, Francisco Jose (International Society for Horticultural Science, 2008)
      Humankind is a privileged animal species for many reasons. A remarkable one is its ability to conceive and manufacture objects. Human industry is indeed leading the various winning strategies (along with language and ...
    • Capping methods for the automatic configuration of optimization algorithms 

      de Souza, Marcelo; Ritt, Marcus; Lopez Ibañez Infante, Manuel (Elsevier, 2022-03)
      Automatic configuration techniques are widely and successfully used to find good parameter settings for optimization algorithms. Configuration is costly, because it is necessary to evaluate many configurations on different ...
    • Classifying resilience approaches for protecting smart grids against cyber threats 

      Syrmakesis, Andrew D.; Alcaraz Tello, María Cristina; Hatziargyriou, Nikos D. (Springer, 2022-05-06)
      Smart grids (SG) draw the attention of cyber attackers due to their vulnerabilities, which are caused by the usage of heterogeneous communication technologies and their distributed nature. While preventing or detecting ...
    • Combining multiple granularity variability in a software product line approach for web engineering 

      Horcas Aguilera, José Miguel; Cortiñas, Alejandro; Fuentes-Fernández, Lidia; Luaces, Miguel-R (Elsevier, 2022-08)
      Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts of Software ...
    • Data driven tools to assess the location of photovoltaic facilities in urban areas 

      Rodríguez-Gómez, Francisco; Del-Campo-Avila, Jose; Ferrer Cuesta, Marta; Mora-López, Llanos (Elsevier, 2022-10-01)
      Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar ...
    • Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices 

      Morell Martínez, José Ángel; Alba, Enrique (Elsevier, 2022)
      The number of devices, from smartphones to IoT hardware, interconnected via the Internet is growing all the time. These devices produce a large amount of data that cannot be analyzed in any data center or stored in the ...
    • Efficient anytime algorithms to solve the bi-objective Next Release Problem 

      Domínguez-Ríos, Miguel Ángel; Chicano, Francisco; Alba-Torres, Enrique; del Águila, Isabel; del Sagrado, José (2019-06-27)
      The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while ...