基于Lévy飞行的粒子群算法在大地电磁反演中的应用  

Application of particle swarm algorithm based on Lévy flight in magnetotelluric inversion

作　　者：张阳阳[1] 杜威[2] 王芝水 缪旭煌 张翔 ZHANG Yang-Yang;DU Wei;WANG Zhi-Shui;MIAO Xu-Huang;ZHANG Xiang(Geological Exploration Technology Institute of Anhui Province,Hefei 230031,China;Yunnan University School of Earth Sciences,Kunming 650091,China)

机构地区：[1]安徽省勘查技术院,安徽合肥230031 [2]云南大学地球科学学院,云南昆明650091

出　　处：《物探与化探》2023年第4期986-993,共8页Geophysical and Geochemical Exploration

基　　金：国家自然青年科学基金项目(41904129)。

摘　　要：粒子群优化算法在大地电磁测深反演中相较于一般的线性反演算法具有多种优点。然而标准粒子群算法在多维优化问题中存在早熟问题,为此,采用基于Lévy飞行随机游走策略的优化粒子群算法来处理局部最优解,增加寻优能力。通过对地电模型的反演对比表明,改进后的粒子群算法相较于标准粒子群算法适应度值下降速度更快、寻优能力更好。最后将该算法应用于已知钻孔旁实测数据,结果较好,表明该算法具有较好的实用性。Particle swarm optimization algorithm has many advantages compared with linear inversion algorithm in magnetotelluric sounding inversion.However,the standard particle swarm algorithm also suffers from premature maturity in multidimensional optimiza-tion problems.Therefore,an optimized particle swarm algorithm based on the Lévy flight randomized wandering strategy is used to es-cape the local optimal solution,The results show that compared with the standard particle swarm optimization algorithm,the optimized particle swarm algorithm has faster fitness decline and better optimization ability.Finally,the improved particle swarm optimization al-gorithm is applied to the measured data of known boreholes,and the results show that the algorithm has good practicability.

关 键 词：Lévy飞行 大地电磁测深反演 非线性反演 粒子群优化算法 一维有限元正演 

分 类 号：P631[天文地球—地质矿产勘探]