基于增强鲸鱼优化算法的面波频散曲线反演

Inversion of Dispersion Curve of Rayleigh Wave Based on Enhanced Whale Optimization Algorithm

摘要:

增强鲸鱼优化算法是一种新型群体智能优化算法，相比于传统算法，其性能更加卓越。面波频散曲线反演横波速度可以对浅部的地层进行精确刻画，是工程物探领域一种可靠的手段。利用面波可以有效地识别当地层中出现含高速层或含低速层，但是面波频散曲线反演是一个多极值、非线性的问题。使用增强鲸鱼优化算法，相较于传统线性反演，其可以更快速地逼近极值或跳出局部最小值，收敛速度更快，满足工程物探的需求。

Abstract:

The enhanced whale optimization algorithm is a new swarm intelligence optimization algorithm. Compared with the traditional algorithm, its performance is more excellent. The Rayleigh wave dispersion curve inversion of shear wave velocity can accurately characterize shallow strata, which is a reliable means for the engineering prospecting field. The use of Rayleigh wave can effectively identify the occurrence of high-velocity or low-velocity layers in the local strata, but the inversion of Rayleigh wave dispersion curve is a multi-extremal and nonlinear problem. Compared with the traditional linear inversion, the enhanced whale optimization algorithm if used can be more quickly close to the extreme value or escape the local minimum, and its rate of convergence is more quickly, which meets the demands of engineering prospecting.