Rayleigh Surface Wave Inversion Based on Multi-strategy Fusion of Artificial Jellyfish Algorithm
In order to obtain the shallow surface structure quickly and accurately,this paper introduced the artificial jellyfish search algorithm into the study of Rayleigh wave dispersion curve inversion,with some corresponding improvement.Firstly,this paper studied the effi-ciency and accuracy of multi-strategy fusion artificial jellyfish algorithm in Rayleigh surface wave dispersion curve inversion.Secondly,applied artificial jellyfish search algorithm,the multi-strategy fusion artificial jellyfish algorithm and the traditional nonlinear particle swarm algorithm to three typical four-layer theoretical geological models with increasing velocity layer,low velocity soft interlayer and high velocity hard interlayer respectively,then ana-lyzed the theoretical dispersion curve and the dispersion curve with random test error.The introduction of Levy flight disturbance and exponential decreasing inertia weight in the phase of jellyfish following the ocean current can expand the global search range of the algorithm and improve the convergence speed of the algorithm.In the passive phase of jellyfish motion,exponential decreasing inertia weight combined with golden sine algorithm can improve the exploration and optimization ability of the algorithm.The results verified the validity and stability of multi-strategy fusion artificial jellyfish algorithm in Rayleigh surface wave inver-sion.
万方数据
维普
