Autonomous Task Planning Method for Multi-Satellite System Based on a Hybrid Genetic Algorithm

The increasing number of satellites for specific space tasks makes it difficult traditional satellite task planning that relies on ground station and on-board execution to fully exploit the overall effectiveness satellites. Meanwhile, complex changeable environment in also poses challenges management multi-satellite systems (MSS). To address above issues, this paper formulates a mixed integer optimization problem solve autonomous MSS. First, we constructed multi-agent-based collaboration architecture. Based architecture, propose hybrid genetic algorithm with simulated annealing (H-GASA) cooperative (MSCATP). With H-GASA, heuristic scheduling scheme was developed deal possible conflicts MSCATP. Finally, simulation scenario established validate our proposed which exhibits superior performance terms computational power success rate compared existing algorithms.