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These environments entail quick adaptations to a changing environment that only fast greedy heuristics can handle. These greedy heuristics consist of a continuous re-planning, considering the current state of the system. As these decisions are greedily taken, the workforce distribution may be poor for middle and/or long term planning due to incessant wrong movements. The use of parallel memetic algorithms, which are more complex than classical, ad-hoc heuristics, can guide us towards more accurate solutions. In order to apply parallel memetic algorithms to such a dynamic environment, we propose a reformulation of the traditional problem, which combines predictions of future situations with a precise search mechanism, by enlarging or diminishing the timeframe considered. The size of the time-frame depends upon the dynamism of the system (smaller when there is high dynamism and larger when there is low dynamism). This work demonstrates how nearly optimal solutions each v seconds (size of the time-frame) outperforms continuous bad distributions when the right size of the time-frame is determined, and predictions and optimisations are properly carried out. Specifically, we propose a neural network for predicting future system variables and a parallel memetic algorithm to perform the assignment of incoming tasks to the right agents, which outperforms other conventional approaches. Additionally, we propose a modification of the resilient back-propagation algorithm and evolutionary operators based on meta-heuristics. To conclude, we test out our method on a real-world production environment from Telefónica which is a large multinational telephone operator.0Doctoral Thesis2422<a class="citation_author_name" title="Navegar por nombre de Autor de Millán Ruiz, David" href="/fez/list/author/Millán Ruiz, David/">Millán Ruiz, David</a>. (<span class="citation_date">2010</span>). <i><a class="citation_title" title="Click para ver : Workforce Distribution in Dynamic Multi-Agent Systems" href="/fez/view/bibliuned:master-ETSInformatica-IAA-Dmillan">Workforce Distribution in Dynamic Multi-Agent Systems</a></i> Master Thesis, <span class="citation_publisher">Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.</span>Recordmaster TesisPublishedIngeniería InformáticaUniversidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial.Millán Ruiz, DavidFernández Galán, Severinobibliuned:master-ETSInformatica-IAA-Dmillanhttp://e-spacio.uned.es/fez/view/bibliuned:master-ETSInformatica-IAA-DmillanengMillan_Ruiz_David_TFM.pdfpresmd_Millan_Ruiz_David_TFM.xmlbibliuned:master-ETSInformatica-IAAbibliuned:Settrabajosfindemasterbibliuned:SetopenaireMáster Universitario en I.A. Avanzada: Fundamentos, Métodos y Aplicaciones (UNED)Set de items trabajo fin de másterSet de openaireMillán RuizAcceso abierto2.257266531982021-03-17T00:00:00Z13162021-05-04T23:01:11Z2021-05-04T23:01:11ZExploring dystopian worlds in the novels and films in english: a future imaginedbibliuned:master-Filologia-ELyCIyPS-IcaballeroThis Master‟s thesis aims to explore eight dystopian texts produced over the last century from the approach of cognitive estrangement and defamiliarization, that is, from a creative interpretation of alternative or imaginary worlds to reflect on existing social and political conditions and foresight the future of humanity on Earth. Dystopian literature and Science Fiction offer the best ways to address imaginatively issues such as control and surveillance of population, stratification of citizens, destruction of nature, suppression of women‟s rights and the use of Techno-science by governments as a tool for enforcing oppression and for perpetuating their power. To cover a wide range of examples, I have included five novels and three films that have a significant impact on the ways in which we envisage a “near future” classified in Totalitarian, Biologically Based, Post-Apocalyptic, Feminist and Cyberpunk dystopias. They depict nightmarish communities with a distancing perspective to provide us compelling warnings about forthcoming dangers as these stories seem to be part of our own experience. This work concludes that their authors have included a socio-political commentary on the dominant preoccupations and anxieties of their age which we can extrapolate to our socio-political environment. I argue for the need to create more stories conveying cautionary messages about potential threats to humankind and to increase research into such topics to confront future challenges.0Doctoral Thesis5822<a class="citation_author_name" title="Navegar por nombre de Autor de Caballero Vargas, Isabel" href="/fez/list/author/Caballero Vargas, Isabel/">Caballero Vargas, Isabel</a>. (<span class="citation_date">2021</span>). <i><a class="citation_title" title="Click para ver : Exploring dystopian worlds in the novels and films in english: a future imagined" href="/fez/view/bibliuned:master-Filologia-ELyCIyPS-Icaballero">Exploring dystopian worlds in the novels and films in english: a future imagined</a></i> Master Thesis, <span class="citation_publisher">Universidad Nacional de Educación a Distancia (España). Facultad de Filología</span>Recordmaster TesisPublishedFilologíaUniversidad Nacional de Educación a Distancia (España). Facultad de FilologíaCaballero Vargas, IsabelBallesteros González, Antonio Andrésbibliuned:master-Filologia-ELyCIyPS-Icaballerohttp://e-spacio.uned.es/fez/view/bibliuned:master-Filologia-ELyCIyPS-IcaballeroengCABALLERO_VARGAS_Isabel_TFM.pdfpresmd_CABALLERO_VARGAS_Isabel_TFM.xmlbibliuned:master-Filologia-ELyCIyPSbibliuned:Settrabajosfindemasterbibliuned:SetopenaireMáster Universitario en Estudios Literarios y Culturales Ingleses y su Proyección Social (UNED)Set de items trabajo fin de másterSet de openaireCaballero VargasAcceso abierto2.218854222222