基于自适应粒子群优化算法的波阻抗反演方法

针对地震勘探资料依赖线性优化方法进行波阻抗反演不易得到全局极值的问题，提出一种改进的粒子群优化算法-自适应粒子群优化算法进行波阻抗反演。自适应粒子群优化算法是以群智能优化理论为基础，通过3种可能移动方向的带权值组合进行全局寻优。该方法搜索速度较快，且具有较强的全局寻优能力。通过函数测试和波阻抗反演的应用，结果表明，自适应粒子群优化算法是一种适应能力较强的全局优化算法，用该方法进行波阻抗反演是可行有效的。 

Wave impedance inversion based on adaptive particle swarm optimization

Wave impedance inversion is non-linear inverse problem. In recent years, great efforts have been made in the research and application of the nonlinear inversion problems and more and more new non-linear inversion methods have emerged. This paper adopted an improved particle swarm optimization, i.e. an adaptive particle swarm optimization for the wave impedance inversion. The adaptive particle swarm optimization is based on the swarm intelligence theory, and this method combines three possible directions of movement with rights for global optimization. The method has faster search speed and strong ability of global optimization. The paper applied this method in function test and wave impedance inversion. The results show that the adaptive particle swarm optimization algorithm is a global optimization algorithm with strong adaptability. It is feasible and effective for wave impedance inversion problem.