| 电测深曲线的遗传算法反演 |
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| 引用本文： | 王兴泰,李晓芹,孙仁国.电测深曲线的遗传算法反演[J].地球物理学报,1996(2). |
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| 作者姓名： | 王兴泰 李晓芹 孙仁国 |
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| 作者单位： | 长春地质学院地球物理系，国家地震局地球物理研究所 |
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| 摘 要： | 电测深曲线作为地下介质电阻率和深度的非线性函数，其解具有高度的非唯一性．常规的基于局部线性化的最优化反演方法易使解估计陷入局部极大值中，而且严重地依赖初始模型的选择．遗传算法作为一种全局最优化方法，对初始模型的依赖性大为减弱，且不易陷人局部极大值之中，从而能有效地解决这类非线性最优化问题．本文首次将遗传算法用于电测深解释并对实测曲线进行反演，效果很好，显示了遗传算法独特的优越性．
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| 关 键 词： | 遗传算法，电测深，反演． |
THE INVERSION OF RESISTIVITY SOUNDING CURVE USING GENETIC ALGORITHMS |
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| WANG XING-TAI, LI XIAO-QIN, SUN REN-GUO.THE INVERSION OF RESISTIVITY SOUNDING CURVE USING GENETIC ALGORITHMS[J].Chinese Journal of Geophysics,1996(2). |
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| Authors: | WANG XING-TAI LI XIAO-QIN SUN REN-GUO |
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| Abstract: | The sounding curve is the nonlinear function of depth and resistivity, which has high nonunique solution. The normal optimum inversion methods based on local linearization are usually lost in local maximum values, and they seriously depend on the selection of initial model. The genetic algorithm is a global search one, which is hardly lost in local maximum and has less dependance on initial values, so it can effectively solve the problem. In this paper, a lot of sounding curves about geoelectric models or field examples are inversed using GA. The results are ideal, which prove it is available for GA to inverse the resistibity sounding datas. |
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| Keywords: | Genetic algorithms (GA) Resistivity sounding Inversion |
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