遗传算法反演工程水文地质参数

研究目的：工程水文地质参数是工程优化设计的基础。针对传统工程水文参数获取存在人为辨识误差和求参耗时的缺陷，开发遗传算法模型，解决求参问题。研究方法：利用某大型地下工程降水抽水试验取得的实测资料，采用遗传算法反演了工程地质层的渗透系数，并与两点法计算结果进行了对比。研究结果：只要能给出正演计算的模型，形成遗传反演系统问题，就能够直接求解，计算的结果与传统计算方法接近。研究结论：遗传算法作为一种全局最优化方法，具有简单、快捷的特点，计算效率高、无须人为干扰、能够快速搜索到可行性解的优点，可广泛用于工程水文地质参数的求解。

Hydrogeological Parameter Inversion Using Genetic Algorithms

Research purposes: Hydrogeological parameter is one of the most important factors for project optimization design.Considering the generic parameter identification existing time consuming and unavoidable man-made error,the author applies genetic algorithm to identify the hydrogeological parameter to overcome the limitation of traditional method.Research methods:Basing on the actual pumping test data measured in the field,inversion-analysis program is used which is based on the genetic algorithms to identify the hydrogeological parameters.The results obtained by genetic algorithms and two-pointes method are comparedResearch results:The results have indicated that two kinds of parameter inversion method can get the similar results.Research conclusions:As one kind of optimization methods,the genetic algorithm is simple,universal and also has the characteristic of good adaptability and high efficiency on parameter inversion,and which can be widely employed to hydrogeological parameter inversion.