【摘要】 粒子群优化算法是近十年发展起来的一种基于群智能的非线性全局最优化新方法.本文详细介绍了粒子群优化算法的基本原理,并将其应用到子波提取与层速度反演中.通过模拟数值算例,从不同角度研究了粒子群优化算法的可行性及其效率问题.试算结果表明,粒子群优化算法在不同分辨率、不同信噪比、不同相位子波合成的地震记录反演中效果明显.更多还原

【Abstract】 Based on swarm intelligence,particle swarm optimization(PSO) algorithm is a kind of nonlinear global optimization method which is advanced for this decade.This paper introduced its basic principle in detail,and applied it to wavelet extraction and interval velocity inversion.Based on numerical simulation,we studied its feasibility and efficiency from different aspects.From the results it showed that the method has good effects in synthetic seismogram inversion with different resolution,signal to noise ratio and phase.更多还原