计算机工程与应用2012，Vol.48Issue(12)：224-228,5.DOI:10.3778/j.issn.1002-8331.2012.12.047
运用模拟退火遗传算法估计地下水反演参数
Using improved simulated annealing genetic algorithm to estimate parameters in groundwater inverse problem
摘要
Abstract
When the parameters of groundwater flow model are estimated, in order to see the real movement, optimization algorithm is used to count the approximate solution. Based on the traditional simulated annealing algorithm, an improved simulated annealing genetic algorithm is proposed. The new algorithm assimilates the advantage of genetic algorithm for the capability of global searching and best individual protection. It avoids earliness and strengthens the property of local searching. Taking 2D unsteady state flows in anisotropy confined aquifer for example, it estimates the parameters of groundwater flow model. The result indicates that the new algorithm avoids the disadvantage of low convergence rate and excessive iterations, possesses the advantages of high precision and parallelism.关键词
模拟退火/遗传算法/地下水/参数估计Key words
simulated anneal/ genetic algorithm/ groundwater/ parameter estimation分类
信息技术与安全科学引用本文复制引用
韩一龙,单永明..运用模拟退火遗传算法估计地下水反演参数[J].计算机工程与应用,2012,48(12):224-228,5.基金项目
山西省回国留学人员科研项目(No.200811). （No.200811）
