High Performance Start Node of Edge Ordering for Infrastructure Networks

Author:

Xie Bin1,Liu Xuan1,Mo Yu Chang1

Affiliation:

1. School of Zhejiang Normal University

Abstract

During the reliability analysis of infrastructure networks based on Binary Decision Diagram (BDD), we studied the high performance start node for edge ordering. We use node’s betweenness to divide the network into several partitions, and show the relation between high performance start nodes and network partitions. We summarized the distribution patterns of the high performance start nodes. The experiment results on selected aviation network shows that we can select high performance ordering start nodes for large-scale networks by using these patterns and network partitions. Thus, we can enhance the performance of network reliability analysis algorithm.

Publisher

Trans Tech Publications, Ltd.

Reference21 articles.

1. Ang A HS, Pirea J. Seismic probabilistic reliability assessment of electric power transmission system[C]. 11th WCEE, Madrid, Spain, 1992: pp.5583-5589.

2. Vanzi L. Seismic reliability of electric power networks: methodology and application. Structural Safety, 996, 18 (4): pp.311-327.

3. Liu G Y, Wang, Liu C W, Y J. Seismic performance analysis of electric power network in Taiwan[C]. International Conference on Advances and New Challenges in Earthquake Engineering Research. Harbin China, (2002).

4. DU Zhen-ping, NICHOLSON A. Degradable transportation system: sensitivity and reliability analysis. Trans on Research B, 1997, 31(3): pp.225-237.

5. NICHOLSON A, DU Zhen-ping. Degradable transportation system: an integrated equilibrium model. Trans on Research B, 1997, 31(3): pp.209-227.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3