综合改进的遗传算法反演三维地下水流模型参数

PARAMETER IDENTIFICATION OF 3D GROUNDWATER FLOW MODEL WITH IMPROVED GENETIC ALGORITHM

在简单的遗传算法的基础上,提出了一种综合改进的遗传算法,在反演地下水水流参数时,具有收敛速度快、解的精度高和避免出现早熟等优点。以非均质各向同性承压三维非稳定流动为理想模型,结合有限元法讨论了用遗传算法反演水文地质参数的过程。综合改进的遗传算法非常有效,在地下水渗流和水资源评价计算中有广阔的应用前景。

Based on simple genetic algorithm(SGA),an improved genetic algorithm (IGA) is put forward. The decimal system is used to overcome the shortage of binary system in function optimization problems. The operating method of younger generation chromosome prepotency(YGCP) is put forward. The best chromosome clone(BCC) operation and multi-generations adjusting environment(MGAE) operation are used. The algorithm is of several main functions,such as expediting constringency,avoiding earliness,and improving precision,when it is used in parameter identification of groundwater flow model. 3D unsteady state flows in inhomogeneous,isotropic confined aquifer are taken as an ideal model,and the application process of the algorithm is discussed to inverse problem of hydrogeology parameters with finite element method. It is shown from calculation results that the presented algorithm is very effective,and is of vast application vista for groundwater seepage flow and groundwater resource evaluation.