摘要
蚁群算法是近年优化领域中新出现的一种启发式仿生学算法,它采用分布式并行计算和正反馈机制,克服了传统优化算法的缺陷,能较好地解决实际运算中的寻优问题,因而引起人们的高度关注。本文介绍了蚁群算法用于层速度反演的方法和原理,从应用蚁群算法求解目标函数优化问题入手,且利用模型对该方法的反演结果进行检验,表明由蚁群反演算法求取的层速度与理论速度模型基本一致。
The ant colony algorithm has been newly-produced heuristic bionic algorithm in optimization region in the recent years, which uses distributed parallel computation and positive feedback mechanism, overcoming the shortcomings of traditional optimistic algorithm, can better solve the optimum seeking issue in practical operation, which is paid more attention to by the people. The paper introduced the method and principle using the ant colony algorithm for inversion of interval velocity. Starting from using ant...
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2008年第4期422-424,366,共4页
Oil Geophysical Prospecting
基金
国家973项目(2006CB202306)
国家863项目(2006AA09A101-0103)资助
关键词
蚁群算法
地震反演
层速度
连续优化问题
信息素
ant colony algorithm
seismic inversion
interval velocity
continuous optimistic problem
pheromone
