基于改进飞狐优化算法的瑞雷面波频散曲线反演OA

When dealing with complex seismic-geological condition data,Rayleigh wave exploration technology faces challenges in fast and accurate inversion of formation parameters because the inversion of dispersion curves involves multi-parameters,multi-extremes and nonlinearity.Therefore,a Rayleigh surface wave disper-sion curve inversion method is proposed based on improved flying foxes optimization.First,in response to the local optimum of flying foxes optimization in the later stage of iteration,the Lévy flight strategy is introduced and its distribution is applied to replace the existing uniform distribution of flying foxes optimization,thus en-hancing the global optimization ability of the algorithm.Second,local optimal perturbation is introduced during the iteration process to develop the improved flying foxes optimization and increase the population diversity,which helps the algorithm quickly approach the global optimal location and direction,avoid local extremum,and improve solution accuracy and approaching speed.Third,a Benchmark function test is carried out on the im-proved flying foxes optimization to verify its superior performance on issues with different complexities.A typi-cal geologic model is also established to conduct the theoretical dispersion curve inversion with and without noise.Therefore,the effect and advantages of the algorithm in the Rayleigh surface wave dispersion curve inver-sion are confirmed.Performance test results of two commonly used Benchmark functions indicate that the im-proved flying foxes optimization is superior to the classical one in global optimization ability.The standard devia-tion and relative error are further introduced for quantitative analysis.The results show that the improved flying foxes optimization has higher inversion accuracy and stability than the traditional one,showing strong applica-tion potential.