流网络中所有最小切口的搜索算法

M. Forghani-elahabad, N. Mahdavi-Amiri
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引用次数: 2

摘要

可靠性评估方法利用各种工具进行系统建模和可靠性指标的计算。文献中提出的大多数方法都是根据最小切割(MCs)或最小路径。因此,在网络流和可靠性理论中,找到网络中的所有mc是一个很有吸引力的问题。在本文中,我们考察了一些与MC问题相关的工作,首先指出了某些算法中的一些缺陷,并提出了一些新技术来纠正这两种算法中的缺陷。此外,我们还提出了一些改进算法的技术。利用我们的结果,我们提出了一种改进的算法来查找流网络中的所有mc。通过一个网络实例说明了该算法的性能。结果表明,该算法是正确的。最后,在建立复杂度结果后,我们证明了该算法比现有算法更有效。
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An Algorithm to Search for All Minimal Cuts in a Flow Network
Reliability evaluation approaches exploit a variety of tools for system modeling and calculation of reliability indices. Most proposed approaches in the literature are in terms of minimal cuts (MCs) or minimal paths. Hence, finding all the MCs in a network is an attractive problem in network flow and reliability theory. Here, investigating some works related to the MC problem, we first point out a number of defects in certain proposed algorithms, and present certain new techniques to rectify the flaws in two algorithms. Moreover, we present some techniques to improve the algorithms. Using our results, we propose an improved algorithm for finding all the MCs in a flow network. A benchmark network example is used to illustrate the performance of the algorithm. The proposed algorithm is shown to be correct. Finally, after establishing the complexity results, we demonstrate the proposed algorithm to be more efficient than some existing algorithms.
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
自引率
0.00%
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0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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