Study on Wartime Aviation Network Planning Based on Binary Particle Swarm Optimization(BPSO) Algorithm

Abstract

Air space is an important national resource. Its use and deployment affect the security and development of the country. In wartime, more air resources will be allocated to military flights, which will help guarantee military operations. Therefore, a wartime aviation network planning method based on binary particle swarm optimization algorithm is proposed. Firstly, the aviation network is modeled and the flight data are collected. Secondly, an evaluation system of aviation network performance is established. Then, BPSO algorithm is used to solve the problem. The goal of the solution is to maintain the expected network performance with as few civil airports as possible. The constraint conditions for the solution are operational intent and battlefield environment. Finally, the simulation analysis is carried out. The results show that the method can combine the combat intention, reflect the battlefield environment and reasonably allocate the aviation resources, and provide decision-making basis for the wartime aviation control work.

Keywords

• wartime air traffic control
• binary particle swarm optimization
• aviation network
• network performance evaluation
• network planning