Flow Generation for Stochastic-flow Networks with Demands as Real Number

Chin Lung Huang, Cheng Fu Huang*, Ding Hsiang Huang, Yi Kuei Lin

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Network reliability is concerned with the probability that the predetermined demand from multiple sources can be transmitted through the stochastic-flow network (SFN) successfully. The minimal capacity vectors (MCVs) which are the minimally required capacity for each arc are used to network reliability calculation. Every MCV is transformed from the flow vectors satisfying predetermined demands based on minimal paths (MPs). However, the demands are set as integers for flow vector generation in the previous studies. In fact, demand might be the positive real number in the practical transmission. In this paper, a concept of the minimal transmission unit is proposed to search the flow vectors for demands as the positive real number. It can reduce the range of the flow search. Then an algorithm for flow vector generation is developed to efficiently deal with demands as the positive real number. A simple case shows that the proposed algorithm is reasonable.

原文English
主出版物標題Conference Proceedings - 27th ISSAT International Conference on Reliability and Quality in Design
編輯Hoang Pham
發行者International Society of Science and Applied Technologies
頁面184-188
頁數5
ISBN(電子)9798986576107
出版狀態Published - 2022
事件27th ISSAT International Conference on Reliability and Quality in Design - Virtual, Online
持續時間: 4 8月 20226 8月 2022

出版系列

名字Conference Proceedings - 27th ISSAT International Conference on Reliability and Quality in Design

Conference

Conference27th ISSAT International Conference on Reliability and Quality in Design
城市Virtual, Online
期間4/08/226/08/22

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