Multi -Objective Optimization Modeling and Solution of Multi -Satellite TT&C Scheduling Problem

被引:0
|
作者
Qi, Weihua [1 ]
Du, Yonghao [1 ]
Xing, Lining [1 ]
Chen, Yuning [1 ]
机构
[1] Natl Univ Def Technol, Coll Syst Engn, Changsha, Peoples R China
来源
2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) | 2019年
基金
中国国家自然科学基金;
关键词
satellitelT&C technology; genetic algorithm multi objective optimization; memetic algorithm;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Satellite TT&C Scheduling Problem has been developed for quite a few years, which plays a very important role in satellite daily monitoring. However, previous studies of the problem seldom addressed multiple objectives, but the multiobjective optimization is currently required by satellite monitoring departments. This paper establishes a three-objective mathematical model and proposes two memetic algorithms for addressing the satellite TT&C schethiling problem. Several local search operators are designed and incorporated into the memetic algorithms. The highlight of the memetic algorithms in this paper is the combination of evolutionary algorithms and local search metaheuristics. Experimental results indicate that the proposed memetic algorithms, which are based on NSGA-II and MOEA/D, can well address the multi-objective satellite TT&C scheduling problem and present better overall performance than other competitors.
引用
收藏
页码:1622 / 1627
页数:6
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