| 遗传算法在非线性最小二乘平差中的应用 |
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| 引用本文： | 王穗辉.遗传算法在非线性最小二乘平差中的应用[J].大地测量与地球动力学,2006,26(2):95-98. |
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| 作者姓名： | 王穗辉 |
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| 作者单位： | 同济大学测量与国土信息工程系,上海,200092;现代工程测量国家测绘局重点实验室,上海,200092 |
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| 摘 要： | 为克服线性化经典平差的不足,尝试利用遗传算法全局和局部搜索力强的优势,进行非线性最小二乘参数估计。对遗传算法涉及的六要素及其非线性估计的精度评定等作了研究和分析。最后通过算例验证了其处理非线性问题的有效性。
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| 关 键 词： | 非线性最小二乘估计 遗传算法 六要素 适应度 精度评定 |
| 文章编号： | 1671-5942(2006)02-0095-04 |
| 修稿时间： | 2005年11月17 |
APPLICATION OF GENETIC ALGORITHMS IN NONLINEAR LEAST SQUARES ESTIMATION |
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| Wang Suihui.APPLICATION OF GENETIC ALGORITHMS IN NONLINEAR LEAST SQUARES ESTIMATION[J].Journal of Geodesy and Geodynamics,2006,26(2):95-98. |
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| Authors: | Wang Suihui |
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| Abstract: | On the basis of the superiority of genetic algorithms whose ability of searching for the whole or the part is strong,nonlinear least squares estimation was used to overcome the disadvantage of classical least squares.6 essential factors related to genetic algorithms and its precision evaluation of nonlinear estimation have been studied.The calculating results show that it is reasonable using the genetic algorithms to process the nonlinear estimation. |
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| Keywords: | nonlinear least squares estimation genetic algorithms 6 factors essential fitness precision evaluation |
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