基于自适应粒子群优化算法的波阻抗反演方法
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摘要
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 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.
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.
引文
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[2]魏超,朱培民,王家映.量子退火反演的原理和实现[J].地球物理学报,2006,49(2):577583.
[3]师学明,王家映,易远元,等.一种新的地球物理反演方法——模拟原子跃迁反演[J].地球物理学报,2007,50(l):305312.
[4]陈双全,王尚旭,季敏,等.地震波阻抗反演的蚁群算法实现[J].石油物探,2005,44(6):551553.
[5]聂茹,岳建华,邓帅奇,等.一种反演问题求解的免疫克隆粒子群优化算法[J].计算机科学,2009,36(12):199202.
[6]聂茹,岳建华.量子微粒群在波阻抗反演中的应用[J].计算机工程与应用,2009,45(5):2326.
[7]王浩.四种智能算法的比较研究[J].火力与指挥控制,2008,33(增刊):7175.
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