饥饿搜索算法在地下水参数反演中的应用  

Application of Hunger Game Search Algorithm in Groundwater Parameter Inversion

作　　者：王文川[1] 薛一铭 徐雷 WANG Wen-chuan;XUE Yi-ming;XU Lei(College of Water Resources,North China University of Water Resources and Electric Power,Zhengzhou 450046,China;College of Hydrology and Water Resources,Hohai University,Nanjing 210024,China)

机构地区：[1]华北水利水电大学水资源学院,郑州450046 [2]河海大学水文水资源学院,南京210024

出　　处：《中国农村水利水电》2022年第8期106-110,116,共6页China Rural Water and Hydropower

基　　金：河南省重点研发与推广专项(202102310259,202102310588);河南省高校科技创新团队(18IRTSTHN009)。

摘　　要：为提高水文地质参数求解精度,以2组抽水试验数据为例,引入饥饿搜索(Hunger Games Search,HGS)算法,采用实测降深与模拟降深的离差平方和均值达到最小为目标函数,优化求解泰斯公式导水系数和储水系数,结合评价指标并与多种智能优化算法如黄金正弦算法(Golden Sine Algorithm,Gold-SA)、天鹰优化算法(Aquila Optimizer,AO)、鲸鱼优化算法(Whale Optimization Algorithm,WOA)以及阿基米德算法(Archimedes optimization algorithm,AOA)5种算法的计算结果进行比较。结果表明:HGS算法在地下水参数反演中表现出较好的全局寻优能力和稳健性;相比而言,HGS算法不仅反演精度最高,而且评价指标误差值最小,纳什效率系数值最接近1,综合性能最佳。因此,引入的HGS算法可以有效地提高水文地质参数求解精度的问题,为地下水参数反演提供了一种新的求解方法。In order to improve the solution accuracy of hydrogeological parameters,taking two groups of pumping test data as examples,the Hunger Games Search(HGS)algorithm is introduced for the first time.The objective function is to minimize the mean sum of squares of the difference between measured and simulated depth drawdown to optimize the solution of water conduction coefficient and water storage coeffi‐cient of Theis formula.Based on the evaluation indexes,the results are compared with those of five intelligent optimization algorithms,such as Golden Sine Algorithm(Gold-SA),Aquila Optimizer(AO),Whale Optimization Algorithm(WOA)and Archimedes Optimization Algo‐rithm(AOA).The results show that HGS Algorithm has good global optimization ability and robustness in groundwater parameter inversion.In comparison,HGS Algorithm has not only the highest inversion accuracy but also the smallest error value of evaluation index.Nash efficien‐cy coefficient value is closest to 1,and the comprehensive performance is the best.Therefore,the HGS algorithm can effectively improve the solution accuracy of hydrogeological parameters,and provide a new solution method for groundwater parameter inversion.

关 键 词：饥饿搜索算法 泰斯公式 优化求解 参数反演 

分 类 号：TV211.12[水利工程—水文学及水资源]