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

摘要：

This paper aims at the optimizing design of regional coverage reconnaissance satellite constellation.Firstly,model of regional coverage satellite constellation is set up before the design is formulated into a multiple objectives optimization problem. Secondly,a nondominated sorting genetic algorithm (NSGA)and its improved version,elitist and fast nondominated genetic algorithm (NSGA-II),are introduced.With respect to characteristic of optimization of satellite constellation,an improvement is made to NSGA-II.Combined with dictionary ordered method,improved NSGA-II is applied to solve the satellite constellation optimization.The new algorithm is implemented by STK and Visual C++.Simulation results show that the new algorithm has some advantage over the conventional genetic algorithm,being more flexible and avoiding selecting weight of multiple objectives.

作者: Li Wang Yanjuan Wang Kewei Chen Hui Zhang

作者单位: College of Electromechanical Engineering and Automation National University of Defense Technology Changsha,Hunan Province,410073,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1111-1116

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）