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    <title>DSpace Colección:</title>
    <link>http://hdl.handle.net/10045/17301</link>
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        <rdf:li rdf:resource="http://hdl.handle.net/10045/27923" />
        <rdf:li rdf:resource="http://hdl.handle.net/10045/27920" />
        <rdf:li rdf:resource="http://hdl.handle.net/10045/15688" />
        <rdf:li rdf:resource="http://hdl.handle.net/10045/15571" />
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    <dc:date>2013-05-25T23:53:38Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10045/27923">
    <title>A memetic algorithm for the delineation of local labour markets</title>
    <link>http://hdl.handle.net/10045/27923</link>
    <description>Título: A memetic algorithm for the delineation of local labour markets
Autor/es: Flórez Revuelta, Francisco; Casado Díaz, José Manuel; Martínez Bernabeu, Lucas; Gómez Hernández, Raúl
Resumen: Given a territory composed of basic geographical units, the delineation of local labour market areas (LLMAs) can be seen as a problem in which those units are grouped subject to multiple constraints. In previous research, standard genetic algorithms were not able to find valid solutions, and a specific evolutionary algorithm was developed. The inclusion of multiple ad hoc operators allowed the algorithm to find better solutions than those of a widely-used greedy method. However, the percentage of invalid solutions was still very high. In this paper we improve that evolutionary algorithm through the inclusion of (i) a reparation process, that allows every invalid individual to fulfil the constraints and contribute to the evolution, and (ii) a hillclimbing optimisation procedure for each generated individual by means of an appropriate reassignment of some of its constituent units. We compare the results of both techniques against the previous results and a greedy method.</description>
    <dc:date>2008-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10045/27920">
    <title>An evolutive approach for the delineation of local labour markets</title>
    <link>http://hdl.handle.net/10045/27920</link>
    <description>Título: An evolutive approach for the delineation of local labour markets
Autor/es: Flórez Revuelta, Francisco; Casado Díaz, José Manuel; Martínez Bernabeu, Lucas
Resumen: This paper presents a new approach to the delineation of local labour markets based on evolutionary computation. The main objective is the regionalisation of a given territory into functional regions based on commuting flows. According to the relevant literature, such regions are defined so that (a) their boundaries are rarely crossed in daily journeys to work, and (b) a high degree of intra-area movement exists. This proposal merges municipalities into functional regions by maximizing a fitness function that measures aggregate intra-region interaction under constraints of inter-region separation and minimum size. Real results are presented based on the latest database from the Census of Population in the Region of Valencia. Comparison between the results obtained through the official method which currently is most widely used (that of British Travel-to-Work Areas) and those from our approach is also presented, showing important improvements in terms of both the number of different market areas identified that meet the statistical criteria and the degree of aggregate intra-market interaction.</description>
    <dc:date>2006-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10045/15688">
    <title>Plataforma para la gestión inteligente de la maquinaria industrial basada en arquitecturas orientadas a servicios</title>
    <link>http://hdl.handle.net/10045/15688</link>
    <description>Título: Plataforma para la gestión inteligente de la maquinaria industrial basada en arquitecturas orientadas a servicios
Autor/es: Herrera Quintero, Luis Felipe; Berenguer Miralles, Vicente; Restrepo Calle, Felipe; Gómez Hernández, Raúl; Gilart Iglesias, Virgilio; Maciá Pérez, Francisco
Resumen: En este artículo presentamos una plataforma diseñada e implementada para la gestión práctica de la maquinaria industrial, la cual proporciona mediante una organización orientada a servicios los procesos de autogestión y administración proactiva de la maquinaria industrial. Esta plataforma permite establecer diversas relaciones con los servicios ofrecidos por la maquinaria, los cuales hacen posible que las maquinas puedan comunicarse y cooperar entre sí o con otros elementos de producción. La plataforma realizada está basada en arquitecturas orientadas a servicios (SOA) y servicios web para lograr que la maquinaria industrial proporcione altos niveles de autogestión y supere las barreras impuestas por las restricciones físicas y tecnológicas típicas que impiden que estos componentes alcancen la integración transparente de la maquinaria industrial con los procesos de negocio de la organización.</description>
    <dc:date>2008-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10045/15571">
    <title>Robust modelling of biological neuroregulators</title>
    <link>http://hdl.handle.net/10045/15571</link>
    <description>Título: Robust modelling of biological neuroregulators
Autor/es: Ruiz Fernández, Daniel; García Chamizo, Juan Manuel; Maciá Pérez, Francisco; Soriano Payá, Antonio
Resumen: The modelling of biological neuroregulated systems is usually complex because of their non-structured and distributed architecture. Software agents are a very useful tool to use in the modelling of this kind of systems, allowing increasing the model with characteristics which are not present in the biological equivalent. This work proposes a model of a neural regulator incorporating modularity, flexibility and scalability. The main approach has been the modelling of each neural centre as an agent, incorporating the distributed behaviour of the system. On the other hand, the model can solve local dysfunctions in the centres using extra diagnostic information. The neural regulator of the lower urinary tract has been implemented as an example. We have developed several experiments adding artificial dysfunctions to the model and comparing the results with a normal functioning of the model.</description>
    <dc:date>2005-01-01T00:00:00Z</dc:date>
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