Abstract:Based on the analysis of the features and differences between satellite and UAV in earth observation and scheduling, a mathematical model was presented to formulate the scheduling problem for the multi-platforms collaborative observation, and a multi-platforms cooperative evolutionary planning and scheduling algorithm (MPCCPSA) was proposed to solve this problem. MPCCPSA uses co-evolution framework for solving the different platforms' observing plans generated in a unified manner. Based on the divide-cooperation strategy and different characteristics of platforms, the observed targets were allocated to each platform. On the top-level, crossover and mutation operations ensured the diversity of the various groups, and the underlying divide-cooperation operators ensured the dynamic complementarity between different platforms. Simulation results show that this method can effectively solve the multi space aeronautics collaborative observation tasks scheduling problem.