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基于遗传算法与共轭梯度法结合的四维同化方法
引用本文:白晨,吴诚鸥,吴令云. 基于遗传算法与共轭梯度法结合的四维同化方法[J]. 南京气象学院学报, 2006, 29(6): 850-854
作者姓名:白晨  吴诚鸥  吴令云
作者单位:1. 南京信息工程大学,数学系,江苏,南京,210044
2. 南京审计学院,信息科学学院,江苏,南京,210029
摘    要:
对气象资料的四维同化,采用共轭梯度算法和遗传算法,可以使两种方法相互补充,实验证明两者的结合能够增强搜索能力和收敛速度。在编写此程序时,采用标准化编程方法,使程序能够接近全自动化,从而缓解了编程的繁重劳动,减少程序中出现的错误。

关 键 词:遗传算法  共轭梯度  四维同化
文章编号:1000-2022(2006)06-0850-05
收稿时间:2005-05-11
修稿时间:2005-05-112005-09-28

A Four-Dimension Assimilation Scheme Based on Genetic Algorithm and Conjugate Gradient Method
BAI Chen,WU Cheng-ou,WU Ling-yun. A Four-Dimension Assimilation Scheme Based on Genetic Algorithm and Conjugate Gradient Method[J]. Journal of Nanjing Institute of Meteorology, 2006, 29(6): 850-854
Authors:BAI Chen  WU Cheng-ou  WU Ling-yun
Affiliation:1. Department of Mathematic, NUIST, Nanjing 210044, China;2. Institute of Information Science, NAYU, Nanjing 210029, China
Abstract:
In four-dimension assimilation,combining conjugate gradient metnod and genetic algorithms(DA) could remedy the shortcoming of each other.It is proved in the experiments of this papar that the scheme not only could strengthen searching ability but also could accelerate the convergent speed of optimization.We adopt standard program in programming,therefore the assimilation program is almost automatic,so we could be eased from the hard programming work and avoid most of the errors.
Keywords:genetic algorithm   conjugate gradient method   four-dimension assimilation
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