Application of Hunger Game Search Algorithm in Groundwater Parameter Inversion

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 coefficient 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 Algorithm（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 efficiency 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.