Computational intelligence in management of ATM networks: a survey of current state of research

Y. Ahmet Sekercioglu, Andreas Pitsillides, Athanasios Vasilakos

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


Today, a number of researchers are looking at alternative non-analytical control system design and modeling techniques that have the ability to devise effective, robust ATM network management schemes. Such schemes employ artificial neural networks, fuzzy systems and design methods based on evolutionary computation. A summary is given on the current state of ATM network management research employing these techniques. The salient features of the methods employed are reviewed.

Original languageEnglish
Pages (from-to)46-54
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1999
Externally publishedYes
EventProceedings of the 1999 Applications and Sciences of Neural Networks, Fuzzy Systems, and Evolutionary Computation II - Denver, CO, USA
Duration: 19 Jul 199920 Jul 1999

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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