Delay-constrained multicast routing using the noisy chaotic neural networks

Lipo Wang*, Wen Liu, Haixiang Shi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

We present a method to compute the delay constrained multicast routing tree by employing chaotic neural networks. Experimental result shows that the noisy chaotic neural network (NCNN) provides optimal solution more often compared to the transiently chaotic neural network (TCNN) and the Hopfield neural network (HNN). Furthermore, compared with the bounded shortest multicast algorithm (BSMA), the noisy chaotic neural network is able to find multicast trees with lower cost.

Original languageEnglish
Pages (from-to)82-89
Number of pages8
JournalIEEE Transactions on Computers
Volume58
Issue number1
DOIs
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • Chaos
  • Constrained Steiner tree (CST)
  • Multicast routing
  • Neural networks
  • Noise

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