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Cascade-robustness optimization of coupling preference in interconnected networks

  • Xue Jun Zhang
  • , Guo Qiang Xu
  • , Yan Bo Zhu*
  • , Yong Xiang Xia
  • *Corresponding author for this work
  • Beijing Key Laboratory for Network-based Cooperative Air Traffic Management
  • Beijing Laboratory for General Aviation Technology
  • Beihang University
  • Zhejiang University

Research output: Contribution to journalArticlepeer-review

Abstract

Recently, the robustness of interconnected networks has attracted extensive attentions, one of which is to investigate the influence of coupling preference. In this paper, the memetic algorithm (MA) is employed to optimize the coupling links of interconnected networks. Afterwards, a comparison is made between MA optimized coupling strategy and traditional assortative, disassortative and random coupling preferences. It is found that the MA optimized coupling strategy with a moderate assortative value shows an outstanding performance against cascading failures on both synthetic scale-free interconnected networks and real-world networks. We then provide an explanation for this phenomenon from a micro-scope point of view and propose a coupling coefficient index to quantify the coupling preference. Our work is helpful for the design of robust interconnected networks.

Original languageEnglish
Pages (from-to)123-129
Number of pages7
JournalChaos, Solitons and Fractals
Volume92
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Coupling preference
  • Interconnected networks
  • Memetic algorithms
  • Robustness

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