A Genetic Algorithm-Based Autonomous Mission Planning Method for Limited-Thrust Modes

To meet the requirements of rapidity, economy and efficiency for space debris removal missions and space debris governance missions, this study designs an autonomous mission planning scheme under finite thrust conditions, to achieve the disposal of multiple target space debris within a single orbital period. The scheme decomposes the planning problem into two sub-problems: mission object sequence optimization and transfer orbit design, and establishes mathematical models from the perspectives of global mission scheduling and local trajectory optimization respectively. An improved genetic algorithm is adopted for solution, to ensure the optimization of resource utilization under fuel constraints. This study systematically elaborates the theoretical basis, optimization indicators and constraint modes of the planning method, constructs a complete technical framework, and verifies the correctness and effectiveness of the method through numerical simulations, providing methodological guidance for the autonomous implementation of in-orbit rendezvous missions.