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微分进化算法在单桩极限承载力灰色优化预测中的应用
引用本文:赵岚,王国体,许小健. 微分进化算法在单桩极限承载力灰色优化预测中的应用[J]. 合肥工业大学学报(自然科学版), 2009, 32(2)
作者姓名:赵岚  王国体  许小健
作者单位:合肥工业大学,土木与水利工程学院,安徽,合肥,230009;合肥工业大学,土木与水利工程学院,安徽,合肥,230009;合肥工业大学,土木与水利工程学院,安徽,合肥,230009
摘    要:文章利用微分进化算法对单桩极限承载力的灰色GM(1,1)模型参数进行优化求解, 提出DE-GM(1,1)优化预测模型;基于MATLAB环境编写了计算程序, 结合工程实例, 对试桩静载荷试验实测数据进行了拟合分析.结果表明, 与指数曲线模型和GM(1,1)模型相比, DE-GM(1,1)模型能够更好地拟合实测数据, 预测精度进一步提高;微分进化算法在GM(1,1)模型参数优化过程中表现出求解速度快、计算精度和自动化程度高等特点.

关 键 词:岩土工程  极限承载力  灰色预测模型  微分进化算法

Application of the differential evolutionary algorithm in optimal prediction of ultimate bearing capacity of single piles
ZHAO Lan,WANG Guo-ti,XU Xiao-jian. Application of the differential evolutionary algorithm in optimal prediction of ultimate bearing capacity of single piles[J]. Journal of Hefei University of Technology(Natural Science), 2009, 32(2)
Authors:ZHAO Lan  WANG Guo-ti  XU Xiao-jian
Affiliation:School of Civil Engineering;Hefei University of Technology;Hefei 230009;China
Abstract:The DE-GM(1,1) prediction model of ultimate bearing capacity of single piles is established by using the DE algorithm to optimize the GM(1,1) parameters directly.The DE solution program is compiled based on Matlab,and an application of DE-GM(1,1) in prediction of ultimate bearing capacity of single piles is given.The results show that in comparison with the exponential curve model and the GM(1,1) model,the DE-GM(1,1) model fits the measured data better and makes prediction more accurately.Furthermore,the DE...
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