Skip to main content

Solving Network Synthesis Problems Using Ant Colony Optimisation

  • Conference paper
  • First Online:
Book cover Engineering of Intelligent Systems (IEA/AIE 2001)

Abstract

Ant colony optimisation is a relatively new meta-heuristic search technique for solving optimisation problems. To date, much research has concentrated on solving standard benchmark problems such as the travelling salesman problem, quadratic assignment problem and the job sequencing problem. In this paper, we investigate the application of ant colony optimisation to practical telecommunication design and synthesis problems having real-world constraints. We consider a modelling approach suitable for ant colony optimisation implementation and compare the results to the simulated annealing meta-heuristic.

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. Balakrishnan, A., Magnanti, T., Shulman, A. and Wong, R. (1991)“Models for Planning Capacity Expansion in Local Access Telecommunication Networks”, Annals of Operations Research, vol. 33, pp. 239–284.

    Article  MATH  Google Scholar 

  2. Berry, L., Murtagh, B., Sugden, S. and McMahon, G. (1995) “Application of a Genetic-based Algorithm for Optimal Design of Tree-structured Communications Networks”, Proceedings of the Regional Teletraffic Engineering Conference of the International Teletraffic Congress, South Africa, pp. 361–370.

    Google Scholar 

  3. Berry, L., Murtagh, B., Sugden, S. and McMahon, G. (1997) “An Integrated GALP Approach to Communication Network Design, ” Proceedings of the 2nd IFIP Workshop on Traffic Management and Synthesis of ATM Networks, Canada.

    Google Scholar 

  4. Berry, L, Murtagh, B, McMahon, G. Randall, M. and Sugden, S. Ñ(1999) “Network Design with a Genetic Algorithm”, TR99-12 School of Information Technology, Bond University.

    Google Scholar 

  5. Burkard, R. (1984) “Quadratic Assignment Problems”, European Journal of Operational Research, 15, pp. 283–289.

    Article  MATH  MathSciNet  Google Scholar 

  6. Colorni, A., Dorigo, M and Maniezzo, V., (1991) “Distributed Optimization by Ant Colonies”, Proceedings of ECAL91, Elsevier, pp. 134–142.

    Google Scholar 

  7. Di Caro, G. and Dorigo, M. (1998) “Mobile Agents for Adaptive Routing”, Proceedings of the 31st Hawaii International Conference on Systems Science, pp. 74–83.

    Google Scholar 

  8. Dorigo, M., Maniezzo, V. and Colorni, A. (1996) “The Ant System: Optimization by a Colony of Cooperating Agents”, IEEE Transactions on Systems, Man and Cybernetics, 26, pp. 29–41.

    Article  Google Scholar 

  9. Dorigo, M. and Gambardella, L. (1997) “Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem”, IEEE Transactions on Evolutionary Computation, 1, pp. 53–66.

    Article  Google Scholar 

  10. Dorigo, M and Di Caro, G. (1999) “The Ant Colony Optimization Meta-Heuristic”, in Corne, D., Dorigo, M. and Glover, F. (eds), New Ideas in Optimization, McGraw-Hill, pp. 11–32.

    Google Scholar 

  11. Gavish, B. (1985) “Augmented Lagrangian based Algorithms for Centralised Network Design”, IEEE Transactions on Communications, 33, pp. 1247–1257.

    Article  MathSciNet  Google Scholar 

  12. Glover, F. and Laguna, M. (1997) Tabu Search, Kluwer Academic Publishers, Boston, 402 pages.

    MATH  Google Scholar 

  13. Kershenbaum, A. and Peng, S. (1986) “Neighbor Finding Algorithms for CMST Customer Calculations, ” IEEE INFOCOM, Miami, Florida.

    Google Scholar 

  14. Lawler, E., Lenstra, J., Rinnoy Kan, A. and Shmoys, D. (1985) The Traveling Salesman Problem: A Guided Tour of Combinatorial Optimization, Wiley, Chichester, 465 pages.

    Google Scholar 

  15. Minoux, M. (1989) “Network Synthesis and Optimum Network Design Problem: Models, Solution Methods and Applications”, Networks, 19, pp. 313–360.

    Article  MATH  MathSciNet  Google Scholar 

  16. Randall, M., McMahon, G. and Sugden, S. (1999) “A Simulated Annealing Approach to Communication Network Design”, Journal of Combinatorial Optimization (to appear).

    Google Scholar 

  17. Randall, M. and Abramson, D. (2000) “A General Meta-heuristic based Solver for Combinatorial Optimisation Problems”, Journal of Computational Optimization and Applications (to appear).

    Google Scholar 

  18. Randall, M. and Montgomery, J. (2001) “Candidate Set Strategies for Ant Colony Optimisation”, Working paper

    Google Scholar 

  19. Randall, M. and Lewis, A (2000) “A Parallel Implementation of Ant Colony Optimisation”, Submitted to the Journal of Parallel and Distributed Computing.

    Google Scholar 

  20. Schoonderwoerd, R., Holland, O., Bruten, J. and Rothcrantz, L. (1996) “Ant-based Load Balancing in Telecommunication Networks”, Adaptive Behavior, 5, pp. 169–207.

    Article  Google Scholar 

  21. Sharma, U., Mistra, K. and Bhattacharji, A. (1991) “Applications of an Efficient Search Techniques for Optimal Design of Computer Communication Networks”, Micro Electronics and Reliability, 31, pp. 337–341.

    Article  Google Scholar 

  22. Varela, G. and Sinclair, M. (1999) “Ant Colony Optimisation for Virtual-Wavelength-Path Routing and Wavelength Allocation”, Proceedings of the Congress on Evolutionary Computation, Washington DC.

    Google Scholar 

  23. White, T., Pagurek, B. and Oppacher, F. (1998) “Connection Management by Ants: An Application of Mobile Agents in Network management”, Proceedings of Combinatorial Optimization, Brussels

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Randall, M., Tonkes, E. (2001). Solving Network Synthesis Problems Using Ant Colony Optimisation. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_1

Download citation

  • DOI: https://doi.org/10.1007/3-540-45517-5_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42219-8

  • Online ISBN: 978-3-540-45517-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics