| 非线性最小残差绝对值和最小平差的遗传算法 |
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| 引用本文： | 陈伟,王新洲.非线性最小残差绝对值和最小平差的遗传算法[J].地理空间信息,2004,2(3):8-9,12. |
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| 作者姓名： | 陈伟 王新洲 |
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| 作者单位： | 武汉大学,测绘学院,武汉,430079 |
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| 摘 要： | 遗传算法是一种基于自然选择和自然遗传学机理的全局优化搜索算法。文章在扼要介绍遗传算法的基础上,设计了非线性残差绝对值和最小的遗传算法,并将其运用于非线性残差绝对值和最小的平差模型中,并通过实例验证了该算法的有效性。
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| 关 键 词： | 遗传算法 非线性残差绝对值和最小 非线性平差模型 |
| 文章编号： | 1672-4623(2004)03-0008-02 |
| 修稿时间： | 2004年3月9日 |
Genetic Algorithms Based On Nonlinear Least Absolute Correction Sum |
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| CHEN Wei,WANG Xin-zhou.Genetic Algorithms Based On Nonlinear Least Absolute Correction Sum[J].Geospatial Information,2004,2(3):8-9,12. |
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| Authors: | CHEN Wei WANG Xin-zhou |
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| Abstract: | In this paper, a new genetic algorithm based on nonlinear least absolute correction sum is designed. Genetic algorithms (GA) are stochastic global optimized search methods based on natural selection and natural genetic mechanism. The working principle of Genetic algorithms is introduced and is applide to monlinear adjustment models restricted by least absolute correction sum; At last, an example is set to justify genetic algorithms share favorable characteristic. |
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| Keywords: | genetic algorithms nonlinear least absolute correction sum nonlinear adjustment model |
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