Skip to main content

Adaptive Local Search for a New Military Frequency Hopping Planning Problem

  • Conference paper
Applications of Evolutionary Computing (EvoWorkshops 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4974))

Included in the following conference series:

  • 1994 Accesses

Abstract

The military radio stations with frequency hopping propose new problems of frequency assignment which must take into account the size of the deployment, the limited resources and also new interferences constraints on transmitters. This new problem is public since the publication [1] with a set of 10 instances. The computing resources and the computing times are imposed. We tackle this problem with a method based on adaptive local search coming from the graph-coloring which manages phases of intensive research and diversified research. We developed several alternatives that are tested and compared on the scenarios.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Defaix, T.: SFH-FP Slow Frequency Hopping - Frequency Planning. In: Septième Congrès de la Société ROADEF 2006, Lille, France (2006)

    Google Scholar 

  2. Milstein, L.B., Simon, M.K.: Spread spectrum communications. In: The mobile communications handbook, pp. 152–165. IEEE Press, Los Alamitos (1996)

    Google Scholar 

  3. Aardal, K., van Hoesel, C., Koster, A., et al.: Models and Solution Techniques for Frequency Assignment Problems. ZIB-report, Berlin, pp. 01–40 (2001)

    Google Scholar 

  4. Koster, A.M.C.A.: Frequency Assignment: Models and Algorithms. PHDThesis Universiteit Maastricht (1999)

    Google Scholar 

  5. Comellas, F., Ozón, J.: Graph Coloring Algorithms for Assignment Problems in Radio Networks. In: Alspector, J., et al. (eds.) Applic. of Neural Nets, pp. 49–56 (1995)

    Google Scholar 

  6. Dorne, R., Hao, J.: Tabu Search for graph coloring, T-coloring and Set T-colorings. In: Osman, I., et al. (eds.) Theory and Applications. Theory and Applications, Kluwer, Dordrecht (1998)

    Google Scholar 

  7. Avanthay, C., Hertz, A., Zufferey, N.: A variable neighborhood search for graph coloring. European Journal of Operational Research 151, 379–388 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  8. Eisenblätter, A., Grötschel, M., Koster, A.: Frequency Planning and Ramifications of Coloring. Discussiones Mathematicae, Graph Theory 22, 51–88 (2002)

    MATH  MathSciNet  Google Scholar 

  9. Hao, J.-K., Dorne, R.: Study of Genetic Search for the Frequency Assignment Problem. In: Alliot, J.-M., Ronald, E., Lutton, E., Schoenauer, M., Snyers, D. (eds.) AE 1995. LNCS, vol. 1063, pp. 333–344. Springer, Heidelberg (1996)

    Google Scholar 

  10. Renaud, D., Caminada, A.: Evolutionary Methods and Operators for Frequency Assignment Problem. SpeedUp Journal 11(2), 27–32

    Google Scholar 

  11. Weinberg, B., Bachelet, V., Talbi, G.: A co-evolutionist meta-heuristic for the FAP. In: Frequency Assignment Workshop, London, England (2000)

    Google Scholar 

  12. Palpant, M., Artigues, C., Michelon, P.: A Large Neighborhood Search method for solving the frequency assignment problem. LIA report 385 (2003)

    Google Scholar 

  13. Hao, J.-K., Dorne, R., Galinier, P.: Tabu search for Frequency Assignment in Mobile Radio Networks. Journal of Heuristics 4(1), 47–62 (1998)

    Article  MATH  Google Scholar 

  14. Montemanni, R., Moon, J., Smith, D.H.: An Improved Tabu search Algorithm for the Fixed-Spectrum FAP. IEEE Trans. on VT 52(4), 891–901 (2003)

    Google Scholar 

  15. Montemanni, R., Smith, D.H.: A Tabu search Algorithm with a dynamic tabu list for the FAP. Technical Report, University of Glamorgan (2001)

    Google Scholar 

  16. Dupont, A., Vasquez, M., Habet, D.: Consistent Neighbourhood in a Tabu search. In: Workshop on Constraint Programming techniques, Nantes (2005)

    Google Scholar 

  17. Schulz, M.: Solving Frequency Assignment Problem with Constraint Programming. Technische Universität Berlin, Institut für Mathematik (2003)

    Google Scholar 

  18. Yokoo, M., Hirayama, K.: Frequency Assignment for Cellular Mobile Systems Using Constraint Satisfaction Techniques. In: Proc. of IEEE VTC Spring (2000)

    Google Scholar 

  19. Moon, J., Hughes, L., Smith, D.: Assignment of Frequency Lists in Frequency Hopping Networks. IEEE Trans. on Vehicular Technology 54(3), 1147–1159 (2005)

    Article  Google Scholar 

  20. Devarenne, I., Caminada, A., Mabed, H.: Analysis of Adaptive Local Search for the Graph Coloring Problem. In: 6th MIC 2005, Vienne, Autriche (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Mario Giacobini Anthony Brabazon Stefano Cagnoni Gianni A. Di Caro Rolf Drechsler Anikó Ekárt Anna Isabel Esparcia-Alcázar Muddassar Farooq Andreas Fink Jon McCormack Michael O’Neill Juan Romero Franz Rothlauf Giovanni Squillero A. Şima Uyar Shengxiang Yang

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Devarenne, I., Caminada, A., Mabed, H., Defaix, T. (2008). Adaptive Local Search for a New Military Frequency Hopping Planning Problem. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-78761-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78760-0

  • Online ISBN: 978-3-540-78761-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics