Application of a Genetic Algorithm to the Availability-Cost Optimization of a Transmission Network Topology

  • B. Mikac
  • R. Inkret
Conference paper


The paper presents an approach to topology optimization of all-optical telecommunications network, minimizing pair(s) of unavailability — cost values, by means of a genetic algorithm. The solutions satisfy traffic requirements, technological limitations, and the defined routing rules.


Genetic Algorithm Optimum Topology Node Pair Genetic Algorithm Parameter Fiber Cable 
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  1. [1]
    D.E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA, 1989.MATHGoogle Scholar
  2. [2]
    R. Inkret. All-optical network reliability optimization by means of genetic algorithm (in Croatian). Technical report, Dept. of Telecomm., FER, University of Zagreb, 1995.Google Scholar
  3. [3]
    M.J. O’Mahoney, M.C. Sinclair, and B. Mikac. Ultra-high capacity optical transmission networks: European research project cost 239. ITA. 12:33–45, 1993.Google Scholar
  4. [4]
    M.C. Sinclair. Minimum cost topology optimisation of the cost 239 european optical network. In Artificial Neural Nets and Genetic Algorithms, D. W. Pearson, N.C. Steele, R.F. Albrecht (editors), pages 26–29, Wien New York, 1995. Springer-Verlag.Google Scholar
  5. [5]
    L.G. Tan and M.C. Sinclair. Wavelength Assignment Between Central Nodes of the COST 239 European Optical Network. PhD thesis, ESE Dept., University of Essex, 1995.Google Scholar

Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • B. Mikac
    • 1
  • R. Inkret
    • 1
  1. 1.Faculty of Electrical Engineering and Computing, Department of TelecommunicationsUniversity of ZagrebZagrebCroatia

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