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陈秋南, 张永兴, 任伯帜. 地下洞室地表非线性沉降模型参数确定新方法[J]. 岩土工程学报, 2005, 27(1): 55-58.
引用本文: 陈秋南, 张永兴, 任伯帜. 地下洞室地表非线性沉降模型参数确定新方法[J]. 岩土工程学报, 2005, 27(1): 55-58.
CHEN Qiunan, ZHANG Yongxing, REN Bozhi. Study on the new method to determine parameters of the nonlinear model of subsidence for underground cave surface[J]. Chinese Journal of Geotechnical Engineering, 2005, 27(1): 55-58.
Citation: CHEN Qiunan, ZHANG Yongxing, REN Bozhi. Study on the new method to determine parameters of the nonlinear model of subsidence for underground cave surface[J]. Chinese Journal of Geotechnical Engineering, 2005, 27(1): 55-58.

地下洞室地表非线性沉降模型参数确定新方法

Study on the new method to determine parameters of the nonlinear model of subsidence for underground cave surface

  • 摘要: 根据随机介质理论构建地下洞室地表非线性沉降模型,把 DFP 变尺度算法作为一个与遗传算法的选择、交叉和变异平行的算子,嵌入到改进浮点编码遗传算法中,从而获得基于 DFP 算法和改进浮点编码遗传算法的加速混合遗传算法(AHGA),该方法既保留了 DFP 算法和改进浮点编码遗传算法的优点,又使收敛速度较快,还有可能搜索到最优化问题的全局优化解。通过某地下洞室地表沉降的工程实例分析表明,加速混合遗传算法不仅能解决地下洞室地表非线性沉降模型参数确定问题,而且优化结果优于其它方法。

     

    Abstract: Based on stochastic medium theory, the non-linear subsidence model of underground cave surface is proposed, and a novel accelerated hybrid GA(AHGA) was established by setting the DFP method in real-code GA, which is taken as a genetic operator that parallels to the selection, crossover and mutation operators. The advantages of DFP method and GA are considered in this new method, and it not only avoids local minimum values and has a rather high convergence speed, but is also much more applicable, optimal and precise than traditional methods and has been verified by an case history.

     

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