基于网络编码的鲁棒最小代价组播

H. Ghasvari, B. Khalaj, M. Raayatpanah
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引用次数: 0

摘要

研究了链路成本不确定条件下网络编码的最小代价组播子图优化问题。考虑了椭球体和有界多面体等不确定性集合。建立了一种鲁棒优化模型,用鲁棒对应模型(RC)代替MCM的不确定模型来获得最优子图。然后,开发了通过求解相应的显式凸RC程序获得不确定MCM问题鲁棒解的分析和计算优化工具,并通过仿真验证了该工具的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Minimum-Cost Multicast with network coding
In this paper, we consider the problem of Minimum-Cost Multicast (MCM) sub-graph optimization with network coding subject to uncertainty in link costs. A number of uncertainty sets such as ellipsoids and bounded polyhedral are taken into account. A robust optimization model is developed to obtain the optimal sub-graph by replacing an uncertain model of MCM by its Robust Counterpart (RC). Then, the analytic and computational optimization tools to obtain robust solutions of an uncertain MCM problem via solving the corresponding explicitly-stated convex RC program is developed and validated through simulations.
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