Research on Search Deployment Method of Flight State Network Based on CPSO Algorithm

In the flight state network, a few aircrafts play the role of ‘key nodes’. Finding these ‘key nodes’ and implementing deployments based on them can reduce flight conflicts and relieve air traffic congestion. For that reason, a search and deployment method based on Chaos Particle Swarm Optimization (CPSO) algorithm is proposed. First, the flight status network is modeled and analyzed on the basis of complex network theory, and the complexity evaluation indices are selected for flight state network, then the complexity of the network nodes is evaluated by CPSO algorithm to find out the key nodes with greater influence, and the node deletion method is used to deploy.