谢建雄,鲁铁定

• 1:东华理工大学测绘工程学院
• 2:漳州市测绘设计研究院

摘要(Abstract)：

为准确掌握隧道围岩变形的发展趋势,实现对隧道施工的准确指导,以及规避高斯过程回归(GPR)采用共轭梯度法求取超参数时存在的缺陷,该文提出利用一种改进果蝇优化算法(MFOA)优化GPR,构建MFOA-GPR预测模型。首先,对标准果蝇优化算法(FOA)的味道浓度函数进行修正,拓展求解的范围;同时引入了一个搜索半径动态调整参数,使得算法在迭代寻优过程中动态调节全局搜索能力和局部开发能力;再将改进的果蝇算法直接应用于GPR的超参数寻优。通过两个实际隧道工程算例进行分析和检验,结果表明,MFOA-GPR方法的预测精度最高,多个精度评价指标均优于GPR、FOA-GPR模型,验证了该方法的有效性。

关键词(KeyWords)： 高斯过程回归;改进果蝇优化算法;变形预测;隧道工程

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2016YFB0501405,2016YFB0502601-04);; 国家自然科学基金项目(42061077,42064001);; 江西省自然科学基金项目(2017BAB203032)

作者(Author): 谢建雄,鲁铁定

DOI: 10.16251/j.cnki.1009-2307.2021.04.008

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