Solving Large-scale Relay Satellite Scheduling Problem with A Dynamic Population Firework Algorithm: A Case Study

被引:2
|
作者
Song, Yanjie [1 ]
Song, Bingyu [1 ]
Huang, Yang [1 ]
Xing, Lining [1 ]
机构
[1] Natl Univ Def Technol, Coll Syst Engn, Changsha, Peoples R China
基金
中国国家自然科学基金;
关键词
firework algorithm; optimization; scheduling; satellite; dynamic population adjustment; GENETIC ALGORITHM; STRATEGY;
D O I
10.1109/SSCI50451.2021.9659942
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A relay satellite is an important type of artificial earth satellite. Using a relay satellite to obtain data or upload instructions to other satellites can make satellite systems work more efficiently. This paper studies the large-scale relay satellite scheduling problem (LSRSSP) and establishes a mathematical model to describe this problem. We combine a dynamic population adjustment strategy with the firework algorithm (FWA-DP) and vary the population size to improve the algorithm's search performance. Through a large number of experiments, it can be seen that the proposed algorithm solves the LSRSSP problem well and can be applied to an actual relay satellite scheduling system.
引用
收藏
页数:7
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