针对未来数据中继卫星系统中微波与激光链路并存的发展趋势,研究了具有微波和激光混合链路的中继卫星系统资源调度问题。以可见时间窗口、任务优先级、终端功耗为约束条件,建立了微波/光混合链路中继卫星系统资源调度(ML-DRSSP)的多目标约束规划模型;通过设计自适应交叉、变异算子和基于精英保留的选择算子,改进了非支配排序遗传算法(MNSGA-Ⅱ)并对模型求解。以1颗中继星、4颗用户星、3种资源终端和不同任务规模为条件建立了仿真场景。仿真结果表明该算法在保持解多样性的同时使非劣解集尽可能接近问题的Pareto最优解集,因而能够有效解决具有多任务、多类型天线的ML-DRSSP。 Aiming at the coexistence of microwave and laser link in future data relay satellite system, the resource scheduling problem of relay satellite system with microwave and laser hybrid link is studied. The multi-objective constrained programming model of microwave-optical hybrid link relay satellite system resource scheduling (ML-DRSSP) is established based on the visible time window, task priority and terminal power consumption. By designing adaptive crossover and mutation And the selection operator based on elitist preserving, the non-dominant ranked genetic algorithm (MNSGA-Ⅱ) is improved and the model is solved. The simulation scenario is established under the condition of 1 relay star, 4 user stars, 3 kinds of resource terminals and different task scales. The simulation results show that this algorithm can make the non-inferior solution set as close as possible to the Pareto optimal solution set while maintaining the diversity, and thus can effectively solve the ML-DRSSP with multi-task and multi-type antennas.