Optimal resource allocation in interdependent networks

The robustness of realistic infrastructure systems is a significant and long-term research question, which has gotten some constructive outcomes borrowing the framework of complex networks. In this paper, we further explore the method about utilizing optimization algorithms to enhance robustness of interdependent networks. Firstly, we propose a novel particle swarm optimization algorithm with an information feedback mechanism to achieve better performance on complex problems. Secondly, we analyze the solutions from initial loads and types of failed nodes resulted by our algorithm. Interestingly, relative to traditional setup, our algorithm indeed produces a robust resource allocation pattern for interdependent networks, where middle-degree nodes are assigned more tolerance.