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A genetic-based fault-tolerant routing strategy for multiprocessor networks

  • Peter K. K. Loh
  • Venson Shaw
Conference paper
  • 104 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1586)

Abstract

We have investigated the adaptation of AI-based search techniques as topology-independent fault-tolerant routing strategies on multiprocessor networks [9]. The results showed that these search techniques are suitable for adaptation, as fault-tolerant routing strategies with the exception that the routes obtained were non-minimal. In this research, we investigate the adaptation of a genetic-heuristic algorithm combination as a fault-tolerant routing strategy. Our results show that such a hybrid strategy results in a viable fault-tolerant routing strategy, which produces minimal or near-minimal routes with a corresponding significant reduction in the number of redundant node traversals. Under certain fault conditions, this new hybrid routing strategy outperforms the purely heuristic ones.

Keywords

Genetic Algorithm Destination Node Trunk Group Swap Mutation Individual Route 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1999

Authors and Affiliations

  • Peter K. K. Loh
    • 1
  • Venson Shaw
    • 1
  1. 1.School of Applied ScienceNanyang Technological UniversitySingapore

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