Optimizing robustness of complex networks with heterogeneous node functions based on the Memetic Algorithm

Taocheng Wu, Jiajing Wu and Wei You

Physica A: Statistical Mechanics and its Applications, 2018, vol. 511, issue C, 143-153

Abstract: Cascading failure is an ubiquitous phenomenon in many types of complex networks, and it has attracted significant concerns in the past decade. In this paper, we consider a generic transmission network consisting of two kinds of nodes, i.e., hosts and routers, and only the hosts can generate and receive packets. In such a host–router network model, the network robustness against cascading failure is closely related to the hosts’ locations. We employ the memetic algorithm (MA) to find a near-optimal way to locate the hosts, which remarkably improves the network robustness compared with three degree-based methods. Furthermore, we investigate the optimal configuration of the hosts given by the MA algorithm and put forward a faster method to select the hosts. This work provides a start point for systematically analyzing and optimizing network robustness of complex networks with heterogeneous node functions.

Keywords: Complex networks; Cascading failure; Data transmission; Memetic Algorithm (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:511:y:2018:i:c:p:143-153

DOI: 10.1016/j.physa.2018.07.042

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