Bandwidth allocation in ATM networks using genetic algorithms and neural networks

Li Der Chou; Jean Lien C. Wu

Bandwidth allocation in ATM networks using genetic algorithms and neural networks

Li Der Chou, Jean Lien C. Wu

資訊工程學系

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

3 引文斯高帕斯（Scopus）

摘要

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.

原文	???core.languages.en_GB???
頁面	962-966
頁數	5
出版狀態	已出版 - 1997
事件	Proceedings of the 1997 IEEE Global Telecommunications Conference. Part 2 (of 3) - Phoenix, AZ, USA 持續時間: 3 11月 1997 → 8 11月 1997

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Proceedings of the 1997 IEEE Global Telecommunications Conference. Part 2 (of 3)
城市	Phoenix, AZ, USA
期間	3/11/97 → 8/11/97

引用此

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AB - 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.

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Bandwidth allocation in ATM networks using genetic algorithms and neural networks

摘要

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