Rayleigh wave dispersion curve inversion based on adaptive weight dragonfly algorithm
GAO Xu1, YU Jing2, LI Xueliang3, HU Tianyue1, HE Chuan1, YUE Yongqiang4
1. School of Earth and Space Sciences, Peking University, Beijing 100871, China; 2. SINOPEC Geophysical Corporation, Beijing 100020, China; 3. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; 4. Baoding Bei'ao Special Vehicle Manufacturing Co., Ltd, Baoding, Hebei 072550, China
Abstract:Rayleigh wave exploration is an effective means to explore the near-surface S-wave velocity structure. However, the inversion of Rayleigh wave dispersion curves is nonlinear, with multiple extremums. Traditional nonlinear algorithms, such as the genetic algorithm, are subject to difficult convergence and poor stability when solving such problems. The dragonfly algorithm is a novel nonlinear algorithm introduced lately. Based on this algorithm, this paper proposes an adaptive weight dragonfly algorithm, highlighting the idea of early "exploration" while later "development" of the nonlinear algorithm. According to the fitness difference of dragonflies in the iterative process, it introduces adaptive weights, and the weight para-meters of dragonflies' cohesion, separation, and alignment can perform self-adjustment according to fitness. This algorithm is examined by multiple test functions as well as theoretical and actual surface wave data. Compared with traditional nonli-near algorithms, the proposed algorithm can significantly improve the accuracy and stability of the inversion results of Rayleigh wave dispersion curves.
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