Bandwidth allocation in ATM networks using genetic algorithms and neural networks

Li Der Chou, Jean Lien C. Wu

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

We propose a control scheme for the bandwidth allocation in ATM networks. The scheme is based on genetic algorithms and neural networks and thus is capable of selecting adaptively optimal step sizes of virtual paths. For the optimization problem is constrained, traditional genetic algorithms no longer are applicable. We, therefore, propose the Masked Genetic Algorithms with Seeds (MGAS) to solve the problem. To achieve better performance, the relationships among the QOS measures and the evaluation of seed scores are discussed.

Original languageEnglish
Pages962-966
Number of pages5
StatePublished - 1997
EventProceedings of the 1997 IEEE Global Telecommunications Conference. Part 2 (of 3) - Phoenix, AZ, USA
Duration: 3 Nov 19978 Nov 1997

Conference

ConferenceProceedings of the 1997 IEEE Global Telecommunications Conference. Part 2 (of 3)
CityPhoenix, AZ, USA
Period3/11/978/11/97

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