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A Survey on Reliability Evaluation of Stochastic-Flow Networks in terms of Minimal Paths

机译:在最小路径中随机流动网络可靠性评估调查

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Many networks in real life such as electric power systems, transportation systems and manufacturing systems can be modeled as a stochastic-flow networks whose arcs and nodes have discrete and multi-valued random capacities. For such a flow network, the system reliability is the probability that the maximum flow of the network is not less than the given demand d. The researchers in this field have presented mainly two kinds of algorithms on the reliability evaluation of stochastic-flow networks: minimal paths (MPs) and Minimal Cuts (MCs). In this paper, a survey of reliability evaluation of stochastic-flow networks in terms of minimal paths is presented, including the algorithms for the basic stochastic-flow network model and its extended models. Finally a future research direction of the stochastic-flow networks is presented.
机译:许多在现实生活中的网络,如电力系统,运输系统和制造系统可以被建模为随机流量网络,其弧和节点具有离散和多值随机能力。对于这种流量网络,系统可靠性是网络的最大流量不小于给定需求D的概率。该领域的研究人员主要介绍了随机流动网络的可靠性评估的两种算法:最小路径(MPS)和最小剪切(MCS)。本文介绍了在最小路径方面对随机流动网络的可靠性评估的调查,包括基本随机流动网络模型及其扩展模型的算法。最后提出了随机流动网络的未来研究方向。

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