石油地球物理勘探2025，Vol.60Issue(6)：1361-1375,15.DOI:10.13810/j.cnki.issn.1000-7210.20240481
应用改进白鲸优化算法的Rayleigh面波频散曲线反演
Inversion of Rayleigh wave dispersion curves based on improved beluga whale optimization algorithm
摘要
Abstract
The shear wave velocity and thickness of near-surface strata can be obtained through the inversion of Rayleigh wave dispersion curves.However,traditional nonlinear inversion algorithms often have disadvantages such as poor convergence effect and being prone to fall into local extremity.A new improved beluga whale opti-mization(DWBWO)algorithm is proposed in this paper and applied to the inversion of the Rayleigh surface wave dispersion curve.Based on the beluga whale optimization(BWO)algorithm,this algorithm introduces the Cubic chaotic initialization strategy to improve the uniformity of the initial population.Meanwhile,the dimen-sional reverse learning strategy is used to improve the convergence efficiency of the algorithm,and the whirl-wind foraging strategy(WFS)is adopted to improve the local optimization ability of the algorithm.The DWBWO algorithm is tested by applying the multi-extremum functions,simulated data and measured data,and compared with the grey wolf optimization(GWO)algorithm,sparrow optimization(SSA)algorithm,whale optimization(WOA)algorithm and BWO algorithm.It was proved that the improved algorithm in this paper has higher stability and accuracy.关键词
Rayleigh面波/频散曲线/白鲸优化算法/混沌初始化策略/逐维反向学习策略/旋风觅食策略Key words
Rayleigh wave/dispersion curve/beluga whale optimization algorithm/chaotic initialization strategy/dimensional reverse learning strategy/whirlwind foraging strategy(WFS)分类
天文与地球科学引用本文复制引用
XIN Chengqing,TONG Siyou,WEI Hao,SHI Caiwang,HU Jiachen..应用改进白鲸优化算法的Rayleigh面波频散曲线反演[J].石油地球物理勘探,2025,60(6):1361-1375,15.基金项目
本项研究受国家自然科学基金面上项目"OBN地震勘探检波点动态定位及基于深度学习的波场分离技术研究"(42074140)资助. （42074140）
