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Heuristic Algorithms for Solving Survivability Problem in the Design of Last Mile Communication Networks

机译:最后一英里通信网络设计中用于解决生存性问题的启发式算法

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Given a connected, weighted, undirected graph G = (V, E), a set infrastructure nodes and a set customers C includes two customer types where by customers C1 require a single connection (type-1) and customers C2 need to be redundantly connected (type-2). Survivable Network Design Problem (SNDP) seeks sub-graph of G with smallest weight in which all customers are connected to infrastructure nodes. This problem is NP-hard and has application in the design of the last mile of the real-world communication networks. This paper proposes a new heuristic algorithm for solving SNDP. Results of computational experiments are reported to show the efficiency of proposed algorithm.
机译:给定一个连通的,加权的,无向的图G =(V,E),则一组基础结构节点和一组客户C包括两种客户类型,其中客户C1需要单个连接(类型1),而客户C2需要冗余连接(类型2)。生存网络设计问题(SNDP)寻找权重最小的G子图,其中所有客户都连接到基础结构节点。这个问题是NP难题,已应用于现实世界通信网络的最后一英里的设计中。提出了一种求解SNDP的新启发式算法。报道了计算实验的结果,以证明所提算法的有效性。

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