Multi-objective optimization for multi-satellite scheduling task

The satellites scheduling mission play an effective role in enhancing the of ground station control and monitoring systems. In this search, SGSEO is re-formulated into a multi-objective optimization task. Therefore, Gravitational Search Algorithm GSA exploited to attain several essential objectives for generating tight scheduling. Moreover, particle swarm model PSO consolidated with novel form strengthening its ability local search slow speed convergence. On other side, make most satellite resources right direction, we have observed targets that fewer observational opportunities keep them from being lost. PageRank algorithm used fulfil issue by ranking candidate's strips. Finally, effect different parameters proposed approach was studied experimental outcomes compared previous methods. It has shown performance superior peers