A practical satellite layout optimization design approach based on enhanced finite-circle method

2018 ◽  
Vol 58 (6) ◽  
pp. 2635-2653 ◽  
Author(s):  
Xianqi Chen ◽  
Wen Yao ◽  
Yong Zhao ◽  
Xiaoqian Chen ◽  
Xiaohu Zheng
2013 ◽  
Vol 307 ◽  
pp. 161-165
Author(s):  
Hai Jin ◽  
Jin Fa Xie

A multi-objective genetic algorithm is applied into the layout optimization of tracked self-moving power. The layout optimization mathematical model was set up. Then introduced the basic principles of NSGA-Ⅱ, which is a Pareto multi-objective optimization algorithm. Finally, NSGA-Ⅱwas presented to solve the layout problem. The algorithm was proved to be effective by some practical examples. The results showed that the algorithm can spread toward the whole Pareto front, and provide many reasonable solutions once for all.


2015 ◽  
Vol 12 (9) ◽  
pp. 2903-2908 ◽  
Author(s):  
Yanfeng Xing ◽  
Weifeng Chen ◽  
Xuexing Li ◽  
Jingjing Lu ◽  
Heng Zhang

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