摘要
将差分-遗传混合算法用于分析直线隔水边界条件下的抽水试验数据,求解含水层参数。在易陷入早熟的遗传算法中,加入搜索能力强、受控参数少的差分进化算法,构成差分-遗传混合算法。该混合算法具有确定性运算和随机性搜索的优点,能够较好地平衡全局搜索和局部搜索。试验结果表明,差分-遗传混合算法能够有效地应用于分析抽水试验数据,识别含水层参数,与其他方法相比较,具有对初值的依赖性小、收敛性好和计算结果精度高等优点。
The differential genetic hybrid algorithm was used to analyze the pumping test data under the condition of straight water proof boundary and solve the aquifer parameters.In the genetic algorithm that was easy to fall into precocity,a differential evolution algorithm with strong search ability and few controlled parameters was added to form a differential genetic hybrid algorithm.The hybrid algorithm had the ad vantages of deterministic operation and random search and could better balance global search and local search.The experimental results show that the differential genetic hybrid algorithm can be effectively applied to analyze the pumping test data and identify the aquifer parameters.Compared with other methods,it has the advantages of less dependence on initial values,good convergence and high precision of calculation results.
作者
黄梦瑶
刘元会
HUANG Mengyao;LIU Yuanhui(College of Science,Chang’an University,Xi’an 710064,China)
出处
《人民黄河》
CAS
北大核心
2020年第4期52-55,共4页
Yellow River
基金
国家自然科学基金资助项目(11401045)。
关键词
抽水试验
直线隔水边界
差分进化
遗传算法
混合算法
pumping test data
linear impervious boundary
differential evolution
genetic algorithm
hybrid algorithm
作者简介
黄梦瑶(1994—),女,山西运城人,硕士研究生,研究方向为最优化理论与方法;通信作者:刘元会(1964—),男,陕西咸阳人,教授,主要从事水文地质方面的数学方法研究工作,E mail:chdlyh@126.com。
