Cascade-robustness optimization of coupling preference in interconnected networks. (November 2016)

• Record Type: Journal Article
• Authors: Zhang, Xue-Jun; Xu, Guo-Qiang; Zhu, Yan-Bo; Xia, Yong-Xiang
• Is Part Of: Chaos, solitons and fractals. Volume 92(2016)
• Page Start: 123
• Page End: 129
• Publication Date: 2016-11
• Subjects: Robustness -- Interconnected networks -- Coupling preference -- Memetic algorithms; Chaotic behavior in systems -- Periodicals; Solitons -- Periodicals; Fractals -- Periodicals; Chaotic behavior in systems; Fractals; Solitons; Periodicals; 003.7
• DOI: 10.1016/j.chaos.2016.09.008
• Languages: English
• ISSNs: 0960-0779

Abstract

Highlights: A specific memetic algorithm was proposed to optimize coupling links. A small toy model was investigated to examine the underlying mechanism. The MA optimized strategy exhibits a moderate assortative pattern. A novel coupling coefficient index was proposed to quantify coupling preference. 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.