A degree-based genetic algorithm for constrained pinning control in complex networks

In this paper, a novel genetic algorithm (GA) is presented to tackle with the constrained pinning control problem for complex networks. The information of the node degree is incorporated in the design so that a set of pinned nodes can be duly obtained. In addition, the control strength of each selected node is assigned by the use of a decrease-and-conquer approach, satisfying the total control strength constraint of the problem. Simulation results confirm the effectiveness of the design and it outperforms other evolutionary algorithms and conventional node selection approaches.