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A Strength Pareto Approach and a Novel Formulation in the Reporting Cells Planning

  • Conference paper
International Joint Conference SOCO’14-CISIS’14-ICEUTE’14

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 299))

Abstract

This paper addresses the Reporting Cells scheme, a popular strategy to track the subscribers’ movement in mobile networks. As opposed to other authors, we propose a multiobjective approach to avoid the drawbacks associated with the linear aggregation of the objective functions. The optimization technique presented in this manuscript is our version of the Strength Pareto Evolutionary Algorithm 2. On the other hand, we provide a novel formulation to take into account aspects of the Reporting Cells scheme that were not contemplated in previously published works. By means of an experimental study, we demonstrate the goodness of our proposal.

This work was partially funded by the Spanish Ministry of Economy and Competitiveness and the ERDF (European Regional Development Fund), under the contract TIN2012-30685 (BIO project). The work of Víctor Berrocal-Plaza has been developed under the Grant FPU-AP2010-5841 from the Spanish Government.

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Author information

Authors and Affiliations

  1. Dept. of Computers & Communications Technologies, University of Extremadura, Escuela Politécnica, Campus Universitario S/N, 10003, Cáceres, Spain

    Víctor Berrocal-Plaza, Miguel Ángel Vega-Rodríguez & Juan Manuel Sánchez-Pérez

Authors
  1. Víctor Berrocal-Plaza
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  2. Miguel Ángel Vega-Rodríguez
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  3. Juan Manuel Sánchez-Pérez
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Corresponding author

Correspondence to Víctor Berrocal-Plaza .

Editor information

Editors and Affiliations

  1. DeustoTech Computing, University of Deusto, Bilbao, Spain

    José Gaviria de la Puerta

  2. DeustoTech Computing, University of Deusto, Bilbao, Spain

    Iván García Ferreira

  3. DeustoTech Computing, University of Deusto, Bilbao, Spain

    Pablo Garcia Bringas

  4. German Workforce ADL Partnership Laboratory, Waltershausen, Germany

    Fanny Klett

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Washington, USA

    Ajith Abraham

  6. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, Brazil

    André C.P.L.F. de Carvalho

  7. Department of Civil Engineering Escuela Politénica Superior, University of Burgos, Burgos, Spain

    Álvaro Herrero

  8. Department of Civil Engineering Escuela Politénica Superior, University of Burgos, Burgos, Spain

    Bruno Baruque

  9. Departamento de Enxeñeria Industrial, Escuela Universitaria Politécnica, University of Salamanca, Salamanca, Spain and University of Coruña, La Coruña, Spain

    Héctor Quintián

  10. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Berrocal-Plaza, V., Vega-Rodríguez, M.Á., Sánchez-Pérez, J.M. (2014). A Strength Pareto Approach and a Novel Formulation in the Reporting Cells Planning. In: de la Puerta, J., et al. International Joint Conference SOCO’14-CISIS’14-ICEUTE’14. Advances in Intelligent Systems and Computing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-07995-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-07995-0_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07994-3

  • Online ISBN: 978-3-319-07995-0

  • eBook Packages: EngineeringEngineering (R0)

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