Envíos recientes

  • The NISPI framework: Analysing collaborative problem-solving from students' physical interactions 

    Cukurova, Mutlu; Luckin, Rose; Millán, 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 ...
  • Pruning dominated policies in multiobjective Pareto Q-learning 

    Mandow, Lawrence; Perez-de-la-Cruz-Molina, Jose Luis (2019-10-18)
    The solution for a Multi-Objetive Reinforcement Learning problem is a set of Pareto optimal policies. MPQ-learning is a recent algorithm that approximates the whole set of all Pareto-optimal deterministic policies by ...
  • A temporal difference method for multi-objective reinforcement learning 

    Ruiz-Montiel, Manuela; Mandow, Lawrence; Perez-de-la-Cruz-Molina, Jose Luis (2019-10-17)
    This work describes MPQ-learning, an temporal-difference method that approximates the set of all non-dominated policies in multi-objective Markov decision problems, where rewards are vectors and each component stands for ...
  • 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 ...
  • Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica 

    Barba Gonzalez, Critobal; Aldana-Montes, José F.; 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 ...
  • 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 ...
  • Using SPL to Develop AAL Systems Based on Self-adaptive Agents 

    Amor-Pinilla, Maria Mercedes; Ayala Viñas, Inmaculada; Fuentes-Fernández, Lidia (Springer, 2016-06)
    Abstract One of the most important challenges of this decade is the Internet of Things (IoT) that pursues the integration of real-world objects in Internet. One of the key areas of the IoT is the Ambient Assisted Living ...
  • Search based algorithms for test sequence generation in functional testing 

    Ferrer, Javier; Kruse, Peter M.; Chicano, Francisco; Alba-Torres, Enrique (2014-10-03)
    The generation of dynamic test sequences from a formal specification, complementing traditional testing methods in order to find errors in the source code. Objective In this paper we extend one specific combinatorial ...
  • 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 ...
  • 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 ...
  • 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 ...
  • The software project scheduling problem: A scalability analysis of multi-objective metaheuristics 

    Luna, Francisco; González-Álvarez, David L.; Chicano, Francisco; Vega-Rodríguez, Miguel A. (2014-10-02)
    Computer aided techniques for scheduling software projects are a crucial step in the software development process within the highly competitive software industry. The Software Project Scheduling (SPS) problem relates to ...
  • 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 ...
  • 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 ...
  • Software project management with GAs 

    Alba-Torres, Enrique; Chicano, Francisco (2014-10-01)
    A Project Scheduling Problem consists in deciding who does what during the software project lifetime. This is a capital issue in the practice of software engineering, since the total budget and human resources involved ...
  • 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 ...
  • 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 ...
  • The component model for elementary landscapes and partial neighborhoods 

    Whitley, Darrell; Sutton, Andrew M.; Ochoa, Gabriela; Chicano, Francisco (2014-09-29)
    Local search algorithms exploit moves on an adjacency graph of the search space. An “elementary landscape” exists if the objective function f is an eigenfunction of the Laplacian of the graph induced by the neighborhood ...
  • Virtual player design using self-learning via competitive coevolutionary algorithms 

    Nogueira Collazo, Mariela; Cotta, Carlos; Fernández-Leiva, Antonio J. (Springer, 2014-06)
    The Google Artificial Intelligence (AI) Challenge is an international contest the objective of which is to program the AI in a two-player real time strategy (RTS) game. This AI is an autonomous computer program that governs ...
  • Vida artificial: en la encrucijada 

    Fernández Rodríguez, Jose David (Universidad de Málaga, 2014-06-13)
    En las últimas décadas, la línea divisoria entre la Biología y las Ciencias de la Computación se ha ido difuminando paulatinamente. Por un lado, una gran cantidad de métodos computacionales (colectivamente conocidos como ...

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