YU DongKai,
SONG XianHai,
JIANG DongWei et al
.2018.Improvement of Artificial Bee Colony and its application in Rayleigh wave inversion.Chinese Journal Of Geophysics,61(4): 1482-1495,doi: 10.6038/cjg2018L0424
Improvement of Artificial Bee Colony and its application in Rayleigh wave inversion
YU DongKai1, SONG XianHai1,2, JIANG DongWei1, ZHANG XueQiang1, ZHAO SuTao1, ZHAO PeiQiang1, CAI Wei1, YUAN ShiChuan1
1. Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan 430074, China; 2. Hubei Subsurface Multi-scale Imaging Lab(SMIL), China University of Geosciences, Wuhan 430074, China
Abstract：The improved artificial bee colony algorithm is applied to get surface wave phase velocities. The ABC algorithm,one of swarm intelligence-based algorithms,was inspired from the particular intelligent foraging behavior of honeybee swarm in nature. On the basis of the ABC algorithm,this paper combines with the idea of global optimal solution in particle swarm optimization algorithm and the cross-operation strategy in genetic algorithm.The improved algorithm on the basis of inheriting traditional ABC algorithm,can also improve the exploration ability. Using theoretical and measured data,this paper increased the effectiveness and applicability of the improved ABC algorithm in deducing an S-wave velocity profile in near-surface applications. In inversion,the objective function can rapidly converge to the global optimization solution. The wide probability distribution of model parameters means that it is able to find the global optimal solution and at the same time to ensure each parameter in the solution to achieve the best. It guaranteed the improved ABC algorithm is suitable for the inversion and interpretation of Rayleigh wave dispersion curve.
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