The satellite data transmission traffic appears a considerable growth tendency with the increase in the number of satellites and the client requirements, so how to solve the large-scale multiobjective satellite data transmission scheduling problem (SDTSP) within a valid period of time has become more and more important. In this context, a multiobjective satellite data transmission model is developed for the practical application, and a novel SVM + NSGA-II algorithm is proposed based on the periodicity of resource confliction in satellite data transmission, the large-scale characteristic of SDTSP and the multidimensional characteristic of the optimization objectives. Experimental results have demonstrated that SVM + NSGA-II can efficiently solve the large-scale multiobjective SDTSP in a very short period of time on the basis of ensuring the satisfactory optimization objectives by comparing with the other four state-of-the-art MOEAs.

随着卫星数量的增加和客户需求的增加，卫星数据传输的流量呈现出相当大的增长趋势，因此如何在有效的时间内解决大规模多目标卫星数据传输调度问题（SDTSP）变得越来越重要。更重要。在此背景下，针对实际应用开发了一种多目标卫星数据传输模型，并根据卫星数据传输中资源冲突的周期性，SDTSP的大规模特征和多维性，提出了一种新的SVM + NSGA-II算法。优化目标的特征。