基于MHHO的地下浅层震源能量聚焦扫描定位方法

Energy focus scanning location method for shallow undergroundsource based on MHHO

针对在地下浅层这种特殊且复杂介质中震源定位精度低的问题,提出了一种通过多个策略改进的哈里斯鹰优化算法联合可控响应功率的地下浅层震源定位方法。首先通过Logistic混沌模型对初始种群进行优化,同时引入非线性逃逸能量和自适应调整权重因子提高算法的收敛精度和收敛速度,然后利用SRP定位模型构建震源区域中的能量信息,最后通过仿真验证,实现对震源的精确化定位。仿真结果表明,与传统的HHO、HUHHO以及MGTO算法相比,MHHO算法在粒子搜索范围、收敛速度和定位精度等方面均有明显的提升,球概率误差也由0.56 m缩减至0.23 m。最后进行实验对比验证,实验结果表明本文算法具有更高的定位精度,对地下浅层定位领域具有很好的工程应用价值。

A Harris Hawk optimization algorithm combined with controllable response power is proposed to address the issue of low accuracy in seismic source localization in special and complex media such as shallow underground layers,which is improved through multiple strategies.Firstly,the initial population is optimized using the Logistic chaos model,while introducing nonlinear escape energy and adaptive adjustment of weight factors to improve the convergence accuracy and speed of the algorithm.Then,the energy information in the seismic source area is constructed using the SRP positioning model.Finally,the precise localization of the seismic source is achieved through simulation verification.The simulation results show that compared with traditional HHO,HUHHO,and MGTO algorithms,the MHHO algorithm has significant improvements in particle search range,convergence speed,and positioning accuracy.The ball probability error has also been reduced from 0.56 m to 0.23 m.Finally,experimental comparison and verification were conducted,and the experimental results showed that the algorithm proposed in this paper has higher positioning accuracy and good engineering application value in the field of shallow underground positioning.