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.