Mission Planning of Continuous Tracking Moving Targets by Earth Observation Satellite in Unknown Scenarios

Mission planning of continuous tracking moving targets (MPCTMT) by earth observation satellites is a crucial optimization problem in the field of modeling and optimization. However, due to the unknown task scenarios in multi-objective MPCTMT problem, existing optimization algorithms struggle to effectively address MPCTMT problem. In this study, we propose a novel multi-objective optimization algorithm tailored to address MPCTMT problem. To ensure a well-distributed set of solutions in all unknown scenarios, we introduce an anchors adjustment mechanism. Experimental results demonstrate that the proposed algorithm outperforms existing multi-objective evolutionary algorithms in all possible scenarios.