论文标题
针对无环的多层信息网络可靠性评估的新蝙蝠
A new BAT for Acyclic Multistate Information Network Reliability Evaluation
论文作者
论文摘要
无环的多态信息网络（AMIN），这是一种不需要流动保护定律的最小值，如今起着重要作用，因为许多现代网络结构呈现为诸如社交网络，局部网络（LAN），4G/5G网络等建筑物等结构，以有效地评估AMIN的效果，以确定AMIN的效果，并确定一项良好的效果，并确定了一项主要的质量，该公司的一项良好的效果，主要是一项良好的效果。 网络。已通过通用生成函数方法（UGFM）成功解决和接近的网络可靠性已显示为NP-螺态。但是，由于计算机存储器的溢出，UGFM只能解决小规模问题。为了克服记忆障碍，提出了改进和增强的二元增添载体树算法（BAT），以有效评估和分析Amin的可靠性。拟议的蝙蝠的性能在示例中得到了验证。
The acyclic multistate information network (AMIN), which is a kind of MIN that does not require the conservation law of flow, plays an important role nowadays because many modern network structures present AMIN as the construction such as social networks, local area networks (LANs), 4G/5G networks, etc. To effectively evaluate the network reliability of AMIN, which indicates the reliable operation of the network, showing a major and primary metrics for determining the performance and quality of the overall network. The network reliability, which has been shown a NP-hard, has been successfully resolved and approached by the universal generation function method (UGFM). However, the UGFM can only solve small-scale problems due to the overflow in computer memory. To overcome the memory obstacle, an improved and enhanced binary-addition vectors tree algorithm (BAT) is proposed to effectively evaluate and analyze the reliability of AMIN. The performance of the proposed BAT is validated on examples.
