麻雀搜索算法在微地震定位中的应用研究
Application of Sparrow Search Algorithm in Microseismic Location
摘要: 为了更加准确地获取微地震震源所在的位置，基于麻雀搜索算法(SSA)，提出了利用纵波传播时差来定位的方法。该方法首先利用纵波时间差信息构建目标函数，并通过迭代搜索走时目标函数的全局最小值，从而求得定位误差相对最小的震源位置。此外，将该定位算法与传统Geiger算法进行定位仿真实验对比，进一步验证了SSA算法在微地震震源定位中的可行性及高精度特性。
Abstract: To obtain the location of microseismic sources more accurately, a method based on the Sparrow Search Algorithm (SSA) is proposed to locate by using the time difference of primary wave propa-gation. The method first constructs an objective function using the longitudinal wave time differ-ence information and iteratively searches for the global minimum of the travel time objective function to find the location of the source with relatively minimal positioning error. In addition, the localisation algorithm is compared with the traditional Geiger algorithm in a localisation simulation to further verify the feasibility and high accuracy of the SSA algorithm in microseismic source localisation.
文章引用：王永发. 麻雀搜索算法在微地震定位中的应用研究 [J]. 理论数学, 2023, 13(3): 606-612. https://doi.org/10.12677/PM.2023.133064

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