Abstract: In the existing satellite mission planning research, most of the imaging satellite task planning problems are modeled as optimization problems, and then various intelligent optimization algorithms are used to solve them, but each algorithm has its limitations. Aiming at this problem, this paper proposes a multi satellite collaborative task planning algorithm combining the advantages of ant colony algorithm and simulated annealing algorithm. The multiple iterations of the ant colony algorithm are used to find the local optimal solution as the initial solution of the simulated annealing algorithm. The simulation results show that the proposed algorithm has certain advantages in performance compared with simulated annealing algorithm and ant colony algorithm.

Key words: remote sensing satellite, multi satellite task allocation, optimized modeling, ant colony algorithm, simulate degradation algorithm