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Edges Immunization Strategy Based on Discrete PSO in Weighted Scale-Free Network

机译:加权无标度网络中基于离散PSO的边缘免疫策略

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In terms of weighted scale-free networks' properties, this paper proposes edges immunization based on discrete particle swarm optimization algorithm. We translate the virus immunization problem to a multi-objective optimization problem in this paper. After a set of edges are immunized, the network is divided into sub-networks whose nodes strength and average path length are as small as possible. Experiment results show that the proposed algorithm has a higher spread threshold and better performance than the traditional immunization strategies.
机译:针对加权无标度网络的性质,提出了一种基于离散粒子群算法的边缘免疫算法。本文将病毒免疫问题转化为多目标优化问题。在对一组边缘进行免疫之后,将网络划分为子网,其节点强度和平均路径长度应尽可能小。实验结果表明,与传统的免疫策略相比,该算法具有更高的传播门限和更好的性能。

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