The optimal synchronizability of complex networks with saturated coupling strength

Chen Huang (), Xinbiao Lu, Jun Zhou () and Buzhi Qin ()
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Chen Huang: School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China
Xinbiao Lu: School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China
Jun Zhou: School of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China
Buzhi Qin: Department of Automation, Nanjing Polytechnic Institute, Nanjing 210048, P. R. China

International Journal of Modern Physics C (IJMPC), 2020, vol. 31, issue 10, 1-12

Abstract: For networks with fixed network topology, when the total coupling strength between nodes is limited and the coupling strength between nodes is saturated, the global optimization algorithms including genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are used to adjust the coupling strength between nodes to improve the synchronizability of the network, respectively. Simulation results show that in WS small-world network, when the edge betweenness centrality of the edge is large, the coupling strength of the edge after optimization is greater. Furthermore, compared with GA, PSO has better performance.

Keywords: Saturation; synchronizability; global optimization algorithm; edge betweenness centrality (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1142/S0129183120501399

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