Now showing items 1-7 of 7

    • A simheuristic algorithm for service placement in community networks 

      Panadero Martínez, Javier; Calvet Liñán, Laura; Bayliss, Christopher; Marques Puig, Joan Manuel; Selimi, Mennan; Freitag, Fèlix (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      The growing demand for network connectivity has boosted the number of community networks (CNs). CNs are decentralized and self-organized communication networks owned and managed at the edge by volunteers. Due to the ...
    • A statistical learning based approach for parameter fine-tuning of metaheuristics 

      Calvet Liñán, Laura; Juan Pérez, Ángel Alejandro; Serrat Piè, Carles; Ries, Jana (2016-06)
      Article
      Open Access
      Metaheuristics are approximation methods used to solve combinatorial optimization problems. Their performance usually depends on a set of parameters that need to be adjusted. The selection of appropriate parameter values ...
    • A two-stage multi-criteria optimization method for service placement in decentralized edge micro-clouds 

      Panadero, Javier; Selimi, Mennan; Calvet Liñán, Laura; Marques Puig, Joan Manuel; Freitag, Fèlix (Elsevier, 2021-08)
      Article
      Restricted access - publisher's policy
      Community networks are becoming increasingly popular due to the growing demand for network connectivity in both rural and urban areas. Community networks are owned and managed at the edge by volunteers. Their irregular ...
    • Combining statistical learning with metaheuristics for the multi-depot vehicle routing problem with market segmentation 

      Ferrer Biosca, Alberto; Calvet Liñán, Laura; Juan, Angel A.; Masip Rodó, David; Gomes, M. Isabel (2016-02)
      Article
      Open Access
      In real-life logistics and distribution activities it is usual to face situations in which the distribution of goods has to be made from multiple warehouses or depots to the nal customers. This problem is known as the ...
    • Statistical methods for parameter fine-tuning of metaheuristics 

      Calvet Liñán, Laura (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2014-06)
      Master thesis
      Open Access
      Metaheuristics are an approximate method widely used to solve many hard optimization problems in a multitude of fields. They depend on a variable number of parameters. Despite the fact that they are usually capable of ...
    • Técnicas estadísticas aplicadas a la selección de valores para parámetros de metaheurísticas 

      Calvet Liñán, Laura; Juan Pérez, Ángel Alejandro; Serrat Piè, Carles (2015)
      Conference lecture
      Open Access
      La mayoría de metaheurísticas incluyen diversos parámetros que influyen en la calidad de su solución. A pesar de esto, el Problema de Selección de Valores para Parámetros no fue formalmente estudiado hasta finales del ...
    • Using simulation and reliability concepts to set starting times in multitask projects with a common deadline 

      Juan Pérez, Ángel Alejandro; Calvet Liñán, Laura; Serrat Piè, Carles; Hatami, Sara (2017)
      Conference lecture
      Open Access
      In production and transportation logistics, it is frequent to have projects in which different tasks must be processed in parallel and completed before a common deadline. Usually, it is not desirable to assign scarce ...