Research on civil aviation universal service standard based on tessellation model and particle swarm optimization

This paper constructs the basic service standard of civil aviation based on the Tessellation model, which improves and solves the traditional algorithm of particle swarm optimization. This paper takes the practice of civil aviation universal service as an example, such as Xinjiang in China. This paper also tests and analyzes the research methods. The conclusion of the study is as follows. The implementation of universal service in remote areas has continuously improved with the civil aviation–operating environment, the fixed cost investment has greatly reduced, and the total social welfare has been increasing. It can be seen from the case of Xinjiang that the general service level of civil aviation is roughly equivalent to the universal service level of developed countries in the world. From the perspective of model solving process, the improved algorithm of particle swarm optimization has better efficiency than the standard particle swarm optimization. The diversity constriction factor of particle swarm optimization has the best convergence effect.