  The Earth observation satellites (EOSs) scheduling is of great importance to
achieve efficient observation missions. The agile EOSs (AEOS) with stronger
attitude maneuvering capacity can greatly improve observation efficiency while
increasing scheduling complexity. The multiple AEOSs, oversubscribed targets
scheduling problem with multiple observations are addressed, and the potential
observation missions are modeled as nodes in the complex networks. To solve the
problem, an improved feedback structured heuristic is designed by defining the
node and target importance factors. On the basis of a real world Chinese AEOS
constellation, simulation experiments are conducted to validate the heuristic
efficiency in comparison with a constructive algorithm and a structured genetic
algorithm.
