水文地质参数识别的连续禁忌搜索改进算法  

Improved continuous tabu search algorithm for hydrogeology parameters identification

作　　者：王佩[1] 朱国荣[1] 江思珉[2] 

机构地区：[1]南京大学水科学系,南京210093 [2]同济大学水利工程系,上海200092

出　　处：《水文地质工程地质》2010年第6期17-21,共5页Hydrogeology & Engineering Geology

摘　　要：水文地质参数的正确与否是构建地下水数值模型的根本,而参数寻优结果很大程度上取决于优化算法的选择。禁忌搜索算法是一种广泛应用于组合优化问题的启发式全局寻优算法,但在连续函数优化领域应用比较少。基于上述考虑,本文首先引入求解连续函数优化问题的连续禁忌搜索算法并对其进行改进,进而提出一种连续禁忌搜索改进算法(ICTS),最后将其与地下水模型耦合进行水文地质参数识别。算例研究表明,ICTS算法较其他算法(CTS,SGA,Micro-GA,PSO)求解效率提高1.87～4.64倍,求解精度提高1.08～12.86倍。因此ICTS算法在参数反演计算中求解精度高、收敛速度快、寻优性能强,是一种值得推广的水文地质参数识别方法。Parameter identification is the fundamental stage to build a groundwater numerical model,and the reliable hydrogeological parameters are very important.To a great extent,the final optimal results for hydrogeological parameters lie on the optimization methods.Tabu search method is a meta-heuristic global optimization procedure which has been widely used to solve various combinational optimization problems.However,only a few works have adopted the tabu search method to the continuous variables functional optimization.Thus,this article introduces a continuous tabu search algorithm to solve these problems.Furthermore,a new continuous tabu search algorithm（ICTS） is proposed based on several betterments and amendments.Finally,the research applies ICTS to the hydrogeological parameters identification issues.The case study indicates that the efficiency of ICTS is improved and is 1.87-4.64 times more than that of the other algorithms（SGA,Micro-GA,PSO,CTS）,and the accuracy increases.ICTS is of strong ability to obtain global minima with fast convergence speed and the high robustness.It is worth to be popularized in the realm of hydrogeology research.

关 键 词：连续禁忌搜索算法 水文地质参数 参数识别 地下水模拟 

分 类 号：P641.2[天文地球—地质矿产勘探] P641.6[天文地球—地质学]