A simple improved algorithm to find all the lower boundary points in a multiple-node-pair multistate flow network

M. Forghani-elahabad, N. Kagan
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引用次数: 4

Abstract

There are several real-world systems which can be modeled as multistate flow networks (MFNs). Many researchers have worked on reliability evaluation of an MFN, and accordingly variety of approaches have been proposed in this regard. The problem of finding all the lower boundary points (LBPs) in a multistate flow network (MFN) has been attracting significant attention in the recent decades as these vectors can be used for reliability evaluation of MFNs. Once all the LBPs are determined, the reliability of the network can be calculated by using some techniques such as the inclusion–exclusion principle or the sum of disjoint products (SDP). Several algorithms have been proposed to address this problem in the literature in terms of minimal paths or minimal cuts. As in the real systems the data (flow or commodity) are usually transmitting from several sources to a number of destinations, the problem of determining all the LBPs in a multi-node-pair MFN is considered in this work. An improved algorithm is proposed to address the problem. The algorithm is illustrated through a benchmark network example. The complexity results are computed. The efficiency of the algorithm is demonstrated through a numerical example and the complexity results.
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一种求解多节点对多状态流网络中所有下界点的简单改进算法
有几个现实世界的系统可以建模为多状态流网络(MFNs)。许多研究人员对最惠国产品的可靠性进行了研究,并提出了各种方法。在多状态流网络中寻找所有下边界点(lbp)的问题在近几十年来引起了人们的极大关注,因为这些向量可以用于多状态流网络的可靠性评估。一旦确定了所有的lbp,就可以使用包含-排除原理或不相交积和(SDP)等技术来计算网络的可靠性。在文献中已经提出了几种算法,以最小路径或最小切割的方式来解决这个问题。由于在实际系统中,数据(流或商品)通常从多个源传输到多个目的地,因此本工作考虑了确定多节点对MFN中所有lbp的问题。提出了一种改进算法来解决这一问题。通过一个基准网络实例对该算法进行了说明。计算复杂度结果。通过数值算例和计算结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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