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Solving a Realistic FAP Using GRASP and Grid Computing

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Advances in Grid and Pervasive Computing (GPC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5529))

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Abstract

In this work we describe the methodology and results obtained when grid computing is applied to resolve a real-world frequency assignment problem (FAP) in GSM networks. We havJose used a precise mathematical formulation for this problem, which was developed in previous work, where the frequency plans are evaluated using accurate interference information taken from a real GSM network. We propose here a newly approach which lies in the usage of several versions of the GRASP (Greedy Randomized Adaptive Search Procedure) metaheuristic working together over a grid environment. Our study was divided into two stages: In the first one, we fixed the parameters of different GRASP variants using the grid so that each version obtained the best results possible when solving the FAP; then, in the second step, we developed a master-slave model using the grid where the GRASP tuned versions worked together as a team of evolutionary algorithms. Results show us that this approach obtains very good frequency plans when solving a real-world FAP.

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References

  1. Blum, C., Roli, A.: Metaheuristics in Combinatorial Optimization: Overview and Conceptual Comparison. ACM Computing Surveys 35, 268–308 (2003)

    Article  Google Scholar 

  2. Berman, F., Hey, A., Fox, G.C.: Grid Computing. Making the Global Infrastructure a Reality. John Wiley & Sons, Chichester (2003)

    Google Scholar 

  3. GSM World, http://www.gsmworld.com/news/statistics/index.shtml

  4. Luna, F., Blum, C., Alba, E., Nebro, A.J.: ACO vs EAs for Solving a Real-World Frequency Assignment Problem in GSM Networks. In: GECCO 2007, London, UK, pp. 94–101 (2007)

    Google Scholar 

  5. Eisenblätter, A.: Frequency Assignment in GSM Networks: Models, Heuristics, and Lower Bounds. PhD thesis, Technische Universität Berlin (2001)

    Google Scholar 

  6. Mishra, A.R.: Radio Network Planning and Opt. In: Fundamentals of Cellular Network Planning and Optimisation: 2G/2.5G/3G... Evolution to 4G, pp. 21–54. Wiley, Chichester (2004)

    Chapter  Google Scholar 

  7. Kuurne, A.M.J.: On GSM mobile measurement based interference matrix generation. In: IEEE 55th Vehicular Technology Conference, VTC Spring 2002, pp. 1965–1969 (2002)

    Google Scholar 

  8. Feo, T.A., Resende, M.G.C.: Greedy Randomized Adaptive Search Procedures. Journal of Global Optimization 6, 109–134 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  9. Resende, M.G.C., Ribeiro, C.C.: Greedy Randomized Adaptive Search Procedures. AT&T Labs Research Technical Report, pp: 1–27 (2001)

    Google Scholar 

  10. Luna, F., Estébanez, C., et al.: Metaheuristics for solving a real-world frequency assignment problem in GSM networks. In: GECCO 2008, Atlanta, GE, USA, pp. 1579–1586 (2008)

    Google Scholar 

  11. EELA Web, http://www.eu-eela.eu

  12. EGEE Web, http://www.eu-egee.org

  13. GridWay Web, http://www.gridway.org

  14. Chaves-González, J.M., Vega-Rodríguez, M.A., et al.: SS vs PBIL to Solve a Real-World Frequency Assignment Problem in GSM Networks. In: Giacobini, M., Brabazon, A., Cagnoni, S., Di Caro, G.A., Drechsler, R., Ekárt, A., Esparcia-Alcázar, A.I., Farooq, M., Fink, A., McCormack, J., O’Neill, M., Romero, J., Rothlauf, F., Squillero, G., Uyar, A.Ş., Yang, S. (eds.) EvoWorkshops 2008. LNCS, vol. 4974, pp. 21–30. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. da Silva Maximiano, M., et al.: A Hybrid Differential Evolution Algorithm to Solve a Real-World Frequency Assignment Problem. In: Proceedings of the International Multiconference on Computer Science and Information Technology, Wisła, Poland, pp. 201–205 (2008)

    Google Scholar 

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Authors and Affiliations

  1. Dept. Technologies of Computers and Communications, Escuela Politécnica., Univ. Extremadura., Campus Universitario s/n., 10071, Cáceres, Spain

    José M. Chaves-González, Román Hernando-Carnicero, Miguel A. Vega-Rodríguez, Juan A. Gómez-Pulido & Juan M. Sánchez-Pérez

Authors
  1. José M. Chaves-González
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  2. Román Hernando-Carnicero
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  3. Miguel A. Vega-Rodríguez
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  4. Juan A. Gómez-Pulido
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  5. Juan M. Sánchez-Pérez
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Editors and Affiliations

  1. University of Applied Sicences, Western Switzerland (HES-SO), Rue Prairie 4, 1202, Geneva, Switzerland

    Nabil Abdennadher

  2. Computer Science Department, West University of Timisoara, Timisoara, Romania

    Dana Petcu

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© 2009 Springer-Verlag Berlin Heidelberg

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Chaves-González, J.M., Hernando-Carnicero, R., Vega-Rodríguez, M.A., Gómez-Pulido, J.A., Sánchez-Pérez, J.M. (2009). Solving a Realistic FAP Using GRASP and Grid Computing. In: Abdennadher, N., Petcu, D. (eds) Advances in Grid and Pervasive Computing. GPC 2009. Lecture Notes in Computer Science, vol 5529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01671-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-01671-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01670-7

  • Online ISBN: 978-3-642-01671-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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