人工鱼群算法瑞雷面波频散曲线反演研究  

Inversion of Rayleigh surface wave dispersion curve with artificial fish swarm algorithm

作　　者：黄政毅 王者江[1] 闫英伟 HUANG Zhengyi;WANG Zhejiang;YAN Yingwei(College of Geo-exploration Science and Technology,Jilin University,Changchun 130026,China)

机构地区：[1]吉林大学地球探测科学与技术学院,长春130026

出　　处：《世界地质》2022年第3期623-631,共9页World Geology

基　　金：国家重点研发计划课题(2018YFC0807902)。

摘　　要：为了解决人工鱼群算法在瑞雷波频散曲线反演工作中收敛速度缓慢和易陷入局部极值等问题,笔者分析了经典人工鱼群算法的缺陷。借鉴遗传算法引入生存和竞争机制,并改进了视野和步长以及觅食行为机制。使用理论和实测瑞雷波数据研究了改进人工鱼群算法在近地表横波速度反演中的有效性和适用性。实验结果表明其可有效地运用于瑞雷波频散曲线反演中,具有简单高效、对初始参数要求低和不易陷入局部极值的优点。In order to solve the slow convergence and easiness to fall into local extremum and other issues of artificial fish swarms algorithm(AFSA)in Rayleigh wave dispersion curve inversion,the defects of classical artificial fish swarm algorithm were analyzed in this paper.The survival and competition mechanisms were introduced with reference to genetic algorithm,and the field of vision,step size and foraging behavior mechanism were improved.The effectiveness and applicability of the improved artificial fish swarm algorithm in near-surface S-wave velocity inversion were studied using theoretical and measured Rayleigh wave data.It is proved that this method can be applied to Rayleigh wave dispersion curve inversion effectively by the experimental results,and is simple and efficient,with low requirements on initial parameters,and not easy to fall into local extremum.

关 键 词：瑞雷波 频散曲线 非线性反演 人工鱼群算法 

分 类 号：P631.4[天文地球—地质矿产勘探]