Optimization of Regional Coverage Reconnaissance Satellite Constellation by Improved NSGA-Ⅱ Algorithm

摘要：

The paper presents a new method to design regional coverage satellite constellation, the non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ) based on Pareto optimal is improved and applied it to the optimization of regional coverage satellite constellation. The best solution, depending on the importance of different objects, is selected by a kind of multi attributes decision making method. Simulation on reconnaissance satellite constellation are presented. The results of the simulation realized by STK and Visual C++ show that the algorithm can get a group of Pareto solutions. The algorithm presented in this paper can avoid selecting weights of multiple objects. On the other hand, compared with the simple genetic algorithm, our algorithm is more active. Thus this method provides a new idea for solving the question of optimization of satellite constellation with multiple objectives.

作者: Cheng Si-wei Zhang Hui Shen Lin-cheng Chen Jing

作者单位: College of Electrornechanical Engineering and Automation National University of Defense Technology Changsha, Hunan, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 660-664

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）