人工鱼算法的重磁位场反演方法

位场反演是地球物理反演问题研究的主要内容之一,其任务为确定地质体的空间形体参数和物性参数。目前,局部和全局最优化技术结合是地球物理反演的热点。人工鱼群算法是源于对鱼群觅食行为而提出的一种新型群体智能优化算法,在多参数、非线性、多极值函数优化问题中具有较强的优越性。通过分析人工鱼群算法的原理,本文用该非线性算法实现了重磁位场反演,并且在理论模型的实验中,证明了算法的可行性。

The Artificial Fish Swarm Algorithm in the Inversion of Magnetic field

The inversion of magnetic field is one of the geophysics inversion which objective is locating the anomalous magnetic material： its depth,dimensions,and magnetization.At present,the local and global optimization technology is the hot in the geophysics inversion.The artificial fish-swarm algorithm is a new kind of swarm intelligent bionic algorithm based on the ＂looking for food＂ behaviour of fish swarm.It enjoys great superiority in the optimization of multi-parameter,nonlinear and nulti-maximum function.By analyzing the artificial fishswarm algorithm,this paper adopts this nonlinear algorithm to realize the magnetic field inverision and it is proved that the algorithm is feasible in the theoretical model experiment.