Joint observation mission planning for space exploration

By comparing the traditional single satellite space observation with the multiple microsatellite joint observation, it is found that multi-satellite joint observation can not only supply a new all-time, all-weather, wide range and uninterrupted observation capability, but also has many advantages of lower cost and lower technical difficulty. Multi-satellite joint observation involves multiple spacecraft cooperating to complete more mission goals. It can be modeled as a multi-task multi-objective planning problem. The ant colony algorithm shows high efficiency and accuracy in the optimization of multi-task and multi-objective task planning. So we use Ants colony algorithm to model its constraints. This paper survey constraints analysis of joint observation mission planning for space exploration its multiplexing process, complete modeling process and the process of using Ants Colony optimization for calculation. From which, we found that this plan has high cost-performance and operability.