河南理工大学学报（自然科学版）2018，Vol.37Issue(2)：109-115,7.DOI:10.16186/j.cnki.1673-9787.2018.02.016
基于遗传-拟牛顿混合算法的远场震源定位
Seismic source localization of the far field based on GA-mixed quasi-newton algorithm
摘要
Abstract
In the process of seismic location,the relative position between the source and detector has a great influence on positioning accuracy.Because of the limited computer calculation precision and preset speed error,when the source is placed on the far field,the location accuracy will be low.In order to solve this problem,in this paper,with the condition of setting homogeneous medium,based on the source localization model without speed,combined with the global optimization of genetic algorithm and fast local search ability of quasinewton method,the GA-Quasi-Newton mixed algorithm is proposed to find source localization.In order to validate the advantage of this hybrid algorithm,the GA-Quasi-Newton mixed algorithm is compared with simple genetic algorithm by MATLAB simulation.The experimental results show that the hybrid algorithm for source localization has faster speed and higher precision.关键词
震源定位/远场/遗传-拟牛顿混合算法/定位速度/定位精度Key words
seismic source localization/far field/GA-quasi-Newton mixed algorithm/positioning speed/positioning accuracy分类
矿业与冶金引用本文复制引用
李月,陈卿,丁恩杰,程龙..基于遗传-拟牛顿混合算法的远场震源定位[J].河南理工大学学报（自然科学版）,2018,37(2):109-115,7.基金项目
国家“973”计划项目(2014CB046305) （2014CB046305）
江苏省产学研联合创新资金前瞻性联合研究项目(BY201502304) （BY201502304）
