【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。更多还原

【Abstract】 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 colony algorithm to solve optimistic problem of objective function, and utilizing model to check the inversed results of the method, the paper showed that the interval velocity computed by ant colony inversion algorithm is basically coincident to theoretical model of velocity.更多还原