A situation-driven multisatellite mission planning method based on genetic algorithm

To effectively improve the performance of multiple earth observation satellites and obtain more observation benefits, it is very important to plan tasks according to the characteristics of observation targets in advance. The problem of satellite collaborative mission planning is studied in this paper, and a multi-satellite mission planning problem model is proposed. A novel genetic algorithm is proposed to obtain the observation mission sequence of each satellite. The detail design and process of the algorithm are introduced. Simulation results show that our algorithm is a good approximation algorithm for solving the NP-hard planning problem, and can enhance the rapid response capability of satellites, and improve the efficiency of satellite observation missions.