Bandwidth allocation of virtual paths using neural-network-based genetic algorithms

NCU Institutional Repository > 資訊電機學院 > 資訊工程研究所 > 期刊論文 > Item 987654321/29167

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/29167

题名:	Bandwidth allocation of virtual paths using neural-network-based genetic algorithms
作者:	Chou,LD;Wu,JLC
贡献者:	資訊工程研究所
关键词:	ATM NETWORKS
日期:	1998
上传时间:	2010-06-29 20:15:20 (UTC+8)
出版者:	中央大學
摘要:	The concept of virtual paths has become the key technology in ATM networks. A control scheme based on genetic algorithms and neural networks is proposed and applied to the bandwidth allocation of virtual paths in ATM networks. The proposed control scheme is capable of selecting adaptively optimal step sizes of virtual paths according to the traffic characteristics and network environment. As the optimisation problem is constrained, traditional genetic algorithms are no longer applicable to this problem. The authors propose the masked genetic algorithms with seeds (MGAS) to solve the optimisation problem. Simulation results demonstrate the superiority of the MGAS algorithm. To achieve better performance, the relationships among the QOS measures, the evaluation of seed scores, and the selection of relearning data records are discussed. Finally, a simplified control scheme is proposed to reduce not only the complexity of the neural networks but also the processing time.
關聯:	IEE PROCEEDINGS-COMMUNICATIONS
显示于类别:	[資訊工程研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	430	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing