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基于连续不确定区域的蚁群算法求解水文地质逆问题
引用本文:江思珉,朱国荣,孙振波,胡西嘉.基于连续不确定区域的蚁群算法求解水文地质逆问题[J].水文地质工程地质,2007,34(3):1-5.
作者姓名:江思珉  朱国荣  孙振波  胡西嘉
作者单位:1. 南京大学地球科学系,南京,210093
2. 中国冶金地质工程勘查总局山东局,济南,250014
3. 南京大学环境学院,南京,210093
摘    要:本文在介绍求解复杂组合优化问题而提出的蚁群算法的基础上,提出一种基于连续不确定区域的蚁群算法。该方法将连续变量优化问题转化为一个组合优化问题,进而将蚁群算法求解。通过两个水文地质逆问题的求解,表明该方法在参数识别中计算结果可靠,具有较好的计算效率。

关 键 词:水文地质逆问题  蚁群算法  连续不确定区域
文章编号:1000-3665(2007)03-0001-05
收稿时间:2006-06-30
修稿时间:2006-08-28

Sequential uncertainty domain based on ant colony optimization for solving an inverse hydrogeologic problem
JIANG Si-min,ZHU Guo-rong,SUN Zhen-bo,HU Xi-jia.Sequential uncertainty domain based on ant colony optimization for solving an inverse hydrogeologic problem[J].Hydrogeology and Engineering Geology,2007,34(3):1-5.
Authors:JIANG Si-min  ZHU Guo-rong  SUN Zhen-bo  HU Xi-jia
Abstract:A new sequential uncertainty domain method called SUACO is presented on the basis of ant colony optimization,which is adapted to solve complex combination optimization problems.Firstly,inverse hydrogeologic problems are transformed into combination optimization problems.Ant colony optimization is adopted to solve these combination optimization problems.Finally,two inverse hydrogeologic problems are solved by SUACO.The results show that SUACO is both effective and efficient in parameter identification.
Keywords:inverse hydrogeologic problem  colony optimization  sequential uncertainty domain
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