| 改进遗传算法及其在抗差估计中的应用 |
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| 引用本文： | 黄强,范东明.改进遗传算法及其在抗差估计中的应用[J].测绘学院学报,2011(3). |
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| 作者姓名： | 黄强 范东明 |
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| 作者单位： | 西南交通大学地球科学与环境工程学院; |
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| 摘 要： | 针对抗差估计的选权迭代法(IRLS)对迭代初值敏感的问题,提出了将抗差估计问题看作求全局最优化问题,利用具有全局收敛性和局部搜索能力的遗传算法(GA)进行求解;并对遗传算法的变异算子步长进行改进。最后通过实例验算,证明了GA抗差估计法的有效性和优越性。
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| 关 键 词： | 遗传算法 抗差估计 非线性 最小二乘估计 变异算子 |
Improved Genetic Algorithm and Its Application in Robust Estimation |
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| HUANG Qiang,FAN Dong-ming.Improved Genetic Algorithm and Its Application in Robust Estimation[J].Journal of Institute of Surveying and Mapping,2011(3). |
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| Authors: | HUANG Qiang FAN Dong-ming |
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| Institution: | HUANG Qiang,FAN Dong-ming(School of Geoscience and Environment Engineering,Southwest Jiaotong University,Chengdu 610031,China) |
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| Abstract: | Aimed at the problem of robust estimation's iteratively reweighed least-squares method(IRLS) being sensitive from initial iteration value,the robust estimation as a problem of global optimal was put forward,the Genetic Algorithm's global search and local search ability was used to solve the problem,and the mutation operator length of Genetic Algorithm(GA) was improved.Finally,the GA robust estimation was applied into a practical example and results showed this method's validity and advantages. |
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| Keywords: | genetic algorithm(GA) robust estimation nonlinear least square estimation mutation operator |
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