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

Y. Ahmet Sekercioglu; Andreas Pitsillides; Athanasios Vasilakos

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

Y. Ahmet Sekercioglu, Andreas Pitsillides, Athanasios Vasilakos

Swinburne University of Technology

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	46-54
Number of pages	9
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3812
Publication status	Published - 1999
Externally published	Yes
Event	Proceedings of the 1999 Applications and Sciences of Neural Networks, Fuzzy Systems, and Evolutionary Computation II - Denver, CO, USA Duration: 19 Jul 1999 → 20 Jul 1999

ASJC Scopus subject areas

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

Cite this

@article{0b25333b02194377bb064b81eb878ff0,

title = "Computational intelligence in management of ATM networks: a survey of current state of research",

abstract = "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.",

author = "Sekercioglu, {Y. Ahmet} and Andreas Pitsillides and Athanasios Vasilakos",

year = "1999",

language = "English",

volume = "3812",

pages = "46--54",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Proceedings of the 1999 Applications and Sciences of Neural Networks, Fuzzy Systems, and Evolutionary Computation II ; Conference date: 19-07-1999 Through 20-07-1999",

}

TY - JOUR

T1 - Computational intelligence in management of ATM networks

T2 - Proceedings of the 1999 Applications and Sciences of Neural Networks, Fuzzy Systems, and Evolutionary Computation II

AU - Sekercioglu, Y. Ahmet

AU - Pitsillides, Andreas

AU - Vasilakos, Athanasios

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0033319368&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0033319368

SN - 0277-786X

VL - 3812

SP - 46

EP - 54

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

Y2 - 19 July 1999 through 20 July 1999

ER -

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

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this