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4篇 您的检索式:作者名="Deshi YE"
    题名 作者 年代 出处 被引量
1On-line scheduling of parallel jobs in a list显示文摘Deshi Ye Guochuan Zhang 2007Journal of Scheduling2007,,6:1
2On-line scheduling of parallel jobs on two machines显示文摘Wun-Tat Chan Francis Y.L. Chin Deshi Ye Guochuan Zhang Yong Zhang 2006Journal of Discrete Algorithms2006,,1:1
3Non-cooperative games on multidimensional resource allocation显示文摘Deshi Ye Jianhai Chen 2013Future Generation Computer Systems2013,,6:1
4Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition显示文摘Analyzing network robustness under various circumstances is generally regarded as a challenging problem.Robustness against failure is one of the essential properties of large-scale dynamic network systems such as power grids,transportation systems,communication systems,and computer networks.Due to the network diversity and complexity,many topological features have been proposed to capture specific system properties.For power grids,a popular process for improving a network’s structural robustness is via the topology design.However,most of existing methods focus on localized network metrics,such as node connectivity and edge connectivity,which do not encompass a global perspective of cascading propagation in a power grid.In this paper,we use an informative global metric algebraic connectivity because it is sensitive to the connectedness in a broader spectrum of graphs.Our process involves decreasing the average propagation in a power grid by minimizing the increase in its algebraic connectivity.We propose a topology-based greedy strategy to optimize the robustness of the power grid.To evaluate the network robustness,we calculate the average propagation using MATCASC to simulate cascading line outages in power grids.Experimental results illustrate that our proposed method outperforms existing techniques.Supaporn LONAPALAWONG Jiangzhe YAN Jiayu LI Deshi YE Wei CHEN Yong TANG Yanhao HUANG Can WANG 2022Frontiers of Information Technology & Electronic Engineering2022,23,3:0
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