南京大学学报（自然科学版）Issue(1)：60-66,7.DOI:10.13232/j.cnki.jnju.2015.01.010
渗透系数空间变异程度对进化算法优化结果影响评价
Effect assessment of spatial variation of hydraulic conductivity on optimization result of evolutionary algorithm
摘要
Abstract
The noisy genetic algorithm (NGA)is a new approach to manage the spatial variation of parameters in recent years.In this study,in order to explore the application range of NGA strategy,it commenced research to study the performance of NGA strategy under different spatial variation of hydraulic conductivity.The study results show that the optimization results of NGA strategy not only have high reliability but also have high computational efficiency whenσ2lnK little than 1.0.However,whenσ2lnK increased to 2.0,or even to 3.0,5.0,the optimization results of NGA strategy no longer have high reliability.In this case,increasing the maximum sampling number of NGA can improve the accuracy of Pareto optimal solutions and reduce the uncertainty of the optimization results.However, when the maximum sampling number of NGA reach a certain extent,the accuracy and reliability of the optimization results will not significantly increase.To further improve the accuracy of the optimization results,it needs to seek other method to describe the spatial variation of hydraulic conductivity,such as increasing remediation cost to get more hydraulic conductivity condition point to reduce the uncertainty of the hydraulic conductivity.Then,more accurate and reliable optimization strategy can be found.关键词
渗透系数/进化算法/噪声遗传算法/地下水污染Key words
hydraulic conductivity/evolutionary algorithm/noisy genetic algorithm/groundwater contamination分类
天文与地球科学引用本文复制引用
骆乾坤,吴剑锋,杨运,钱家忠..渗透系数空间变异程度对进化算法优化结果影响评价[J].南京大学学报（自然科学版）,2015,(1):60-66,7.基金项目
中央高校基本科研业务费专项资金(J2014HGBZ0186),国家自然科学基金(41072175,41372235) （J2014HGBZ0186）
