• 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 ...
    • Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization 

      Chicano, Francisco; Alba-Torres, Enrique (2014-10-01)
      Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ...
    • Elementary landscape decomposition of the frequency assignment problem 

      Chicano, Francisco; Whitley, L. Darrell; Alba-Torres, Enrique; Luna, Francisco (2014-09-30)
      The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ...
    • Embryomorphic Engineering: Emergent innovation through evolutionary development 

      Doursat, René; Sánchez Quintana, Carlos Alberto; Dordea, Razvan; Fourquet, David; Kowaliw, Taras (2014-01-07)
      Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ...
    • Emergent diversity in an open-ended evolving virtual community 

      Fernández-Rodríguez, Jose David; Lobo Fernández, Daniel; Martín Reyes, Gema María; Doursat, René; Vico-Vela, Francisco Jose (MIT Press, 2012)
      Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ...
    • Ensemble ellipse fitting by spatial median consensus 

      Thurnhofer Hemsi, Karl; López Rubio, Ezequiel; Blázquez Parra, Elidia Beatriz; Ladrón de Guevara Muñoz, María Carmen; De Cózar Macías, Óscar David (2021)
      Ellipses are among the most frequently used geometric models in visual pattern recognition and digital image analysis. This work aims to combine the outputs of an ensemble of ellipse fitting methods, so that the deleterious ...
    • Evolution of form and function in a model of differentiated multicellular organisms with gene regulatory networks 

      Lobo Fernández, Daniel; Vico-Vela, Francisco Jose (Elsevier, 2010)
      The emergence of novelties, as a generator of diversity, in the form and function of the organisms have long puzzled biologists. The study of the developmental process and the anatomical properties of an organism provides ...
    • Evolutionary algorithms for the multi-objective test data generation problem 

      Ferrer, Javier; Chicano, Francisco; Alba-Torres, Enrique (2014-10-03)
      Automatic test data generation is a very popular domain in the field of search-based software engineering. Traditionally, the main goal has been to maximize coverage. However, other objectives can be defined, such as the ...
    • Evolutionary development of tensegrity structures 

      Lobo Fernández, Daniel; Vico-Vela, Francisco Jose (Elsevier, 2010)
      Contributions from the emerging fields of molecular genetics and evo-devo (evolutionary developmental biology) are greatly benefiting the field of evolutionary computation, initiating a promise of renewal in the traditional ...
    • Exact computation of the expectation surfaces for uniform crossover along with bit-flip mutation 

      Chicano, Francisco; Whitley, Darrell; Alba-Torres, Enrique (2014-09-29)
      Uniform crossover and bit-flip mutation are two popular operators used in genetic algorithms to generate new solutions in an iteration of the algorithm when the solutions are represented by binary strings. We use the Walsh ...
    • Fitness function distributions over generalized search neighborhoods in the q-ary hypercube 

      Sutton, Andrew M.; Chicano, Francisco; Whitley, L. Darrell (2014-10-03)
      The frequency distribution of a fitness function over regions of its domain is an important quantity for understanding the behavior of algorithms that employ randomized sampling to search the function. In general, exactly ...
    • Graph grammars with string-regulated rewriting 

      Lobo Fernández, Daniel; Vico-Vela, Francisco Jose; Dassow, Jürgen (Elsevier, 2011)
      Multicellular organisms undergo a complex developmental process, orchestrated by the genetic information in their cells, in order to form a newborn individual from a fertilized egg. This complex process, not completely ...
    • Kafka-ML: Connecting the data stream with ML/AI frameworks 

      Martín Fernández, Cristian; Langendoerfer, Peter; Soltani Zarrin, Pouya; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolome (Elsevier, 2022-01-01)
      Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to train, improve, and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, ...
    • Low Disruption Transformations on Cyclic Automata 

      Martín Reyes, Gema María; Vico-Vela, Francisco Jose; Dassow, Jürgen (IOS Press, 2010)
      We extend the edit operators of substitution, deletion, and insertion of a symbol over a word by introducing two new operators (partial copy and partial elimination) inspired by biological gene duplication. We define a ...
    • Melomics: A Case-Study of AI in Spain 

      Sánchez-Quintana, Carlos Alberto; Moreno-Arcas, Francisco; Albarracín-Molina, David; Fernández-Rodríguez, Jose David; Vico-Vela, Francisco Jose (Association for the Advancement of Artificial Intelligence, 2013-10)
      Traditionally focused on good old-fashioned AI and robotics, the Spanish AI community holds a vigorous computational intelligence substrate. Neuromorphic, evolutionary, or fuzzylike systems have been developed by ...
    • Multi-objective Reinforcement Learning 

      Ruiz-Montiel, Manuela (2013-09-25)
      In this talk we present PQ-learning, a new Reinforcement Learning (RL) algorithm that determines the rational behaviours of an agent in multi-objective domains
    • Multiresolution Layered Manufacturing 

      Fernández Rodríguez, Jose David; De Coninck, Joël (Emerald Publishing, 2018)
      PURPOSE: Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high resolutions, one of the main limiting ...
    • The NISPI framework: Analysing collaborative problem-solving from students' physical interactions 

      Cukurova, Mutlu; Luckin, Rose; Millan-Valldeperas, Eva; Mavrikis, Manolis (2019-10-21)
      Collaborative problem-solving (CPS) is a fundamental skill for success in modern societies, and part of many common constructivist teaching approaches. However, its effective implementation and evaluation in both digital ...
    • Observations in using parallel and sequential evolutionary algorithms for automatic software testing 

      Alba-Torres, Enrique; Chicano, Francisco (2014-10-01)
      In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatically creating a set of input data to test a ...