Node selection and gain assignment in pinning control using genetic algorithm

In this paper, a genetic algorithm (GA) is proposed to tackle with the constrained pinning control problem in complex networks. Based on a hierarchical chromosome structure, it is demonstrated that suitable pinned nodes can be selected with appropriate control gains, resulting in a better synchrony capability of the entire network. Simulation results verify the effectiveness of this method, and it is concluded that the proposed approach can outperform some other evolutionary algorithms and the conventional node selection approaches.