维多样性的动态权重粒子群算法反演断层滑动速率

Slip velocity of fault induced by PSO algorithm with dynamical inertial weight and dimension mutation

把维多样性引入粒子群算法并基于混沌变异思想,提出维多样性的动态权重粒子群算法.通过与其它三种不同定权方式的粒子群算法进行比较,证明该方法具有较好的稳定性和有效性,能以较快的速度收敛到最优解.利用河西地区1999-2001年GPS观测资料,对祁连山断裂、海原断裂和六盘山断裂的三维滑动速率进行了位错模式的维多样性动态权重粒子群算法反演,并在反演结果的基础上进行正演分析,结果表明,该方法可有效的求解出断层三维滑动速率,其反演结果与地质方法和前人的研究结果具有较好的一致性.

Based on the chaotic mutation ideas,a new particle swarm optimization（PSO）algorithm with dimension diversity and dynamical inertial weight vector is introduced.Comparisons with other three PSO algorithms with different ways of fixed weight are made,which demonstrates that this new method is optimal stability and effectiveness and also possesses with faster convergence speed.Based on the GPS data of Hexi area observed from 1999 to 2001,the slip velocity of Qilianshan,Haiyuan faults and Liupanshan are inversed by this new PSO algorithm,what’s more,based on the inversion results,forward analysis are carried out.Results show,this new method can be effectively to solve the fault slip velocity,which have a good consistency with the results that calculated by geological and other methods.