Research on Mission Scheduling of Electronic Reconnaissance Satellites Based on Multi-area

被引:0
|
作者
Li, Yao-dong [1 ]
Zhang, Jing [1 ]
机构
[1] PLA Informat Engn Univ, Zhengzhou 450001, Henan, Peoples R China
来源
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATION (ICEEA 2016) | 2016年
关键词
Satellites; Mission scheduling; Discretization; Genetic algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Regarding to the issue of how electronic reconnaissance satellites (ERS) execute the regional survey mission task. Time, area and frequency are discretization handled in this paper. Based on the analysis of different occasions and task requirements on ERS, multi-Constrained Optimization Model is established to solve relative problems. Through modifying the structure of code, initializing the method and introducing the penalty function, genetic algorithm could apply to the model. Conclusion of the emulation indicates that the ERS area census task could be effectively satisfied by the model and algorithm in this paper.
引用
收藏
页数:11
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