Agile Satellite Scheduling Based on Hybrid Coding Genetic Algorithm

被引：0

作者：

Geng, Xiyingzhi ^{[1
]}

Li, Jufang ^{[1
]}

Yang, Wenyuan ^{[1
]}

Gong, Hongtao ^{[1
]}

机构：

[1] Natl Univ Def Technol, Changsha, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2016年

关键词：

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：

By analyzing a new generation of agile earth-observing satellite scheduling problem, a hybrid integer programing model was established according to the problem's characteristics of multi-selection and combinatorial optimization. A hybrid coding method combining binary and integer coding was put forward under the framework of genetic algorithm, and the corresponding genetic operators and heuristic decoding rules were designed. The experiment results show that the hybrid coding genetic algorithm proposed in this paper has better performance in both solution quality and time efficiency under different kinds of task distributions, compared with the classic binary and sequential coding genetic algorithms.

引用

页码：2727 / 2731

页数：5

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