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Evolving simple fault-tolerant routing rules using genetic programming

Evolving simple fault-tolerant routing rules using genetic programming

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A novel approach to solving network routing and restoration problems using the genetic programming (GP) paradigm is presented, in which a single robust and fault-tolerant program is evolved which determines the near-shortest paths through a network subject to link failures.

References

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      • J. Koza . (1992) Genetic programming: On the programming of computers by means of naturalselection.
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      • Grover, W.D.: `The selfhealing network: A fast distributed restorationtechnique for networks using digital cross-connect machines', IEEEGlobal Conf. on Commun., 1987, p. 1090–1095.
    3. 3)
      • Kirkwood, I.M.A., Shami, S.H., Sinclair, M.C.: `Discoveringsimple fault-tolerant routing rules using genetic programming', Intl. Conf.on Artificial Neural Networks and Genetic Algorithms, 1997, Norwich, UK.
    4. 4)
      • D. Zongker , B. Punch . (1995) lil-gp 1.0 user's manual.
    5. 5)
      • E. Dijkstra . A note on two problems in connexion with graphs. Numer. Math. , 269 - 271
    6. 6)
      • B. Punch , D. Zongker , E. Goodman , P.J. Angeline , K.E. Kinnear . (1996) The royal tree problem,a benchmark for single and multiple population genetic programming, Advances in geneticprogramming Volume 2.
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