A Novel Intelligent Inversion Method of Hydrogeological Parameters Based on the Disturbance-Inspired Equilibrium Optimizer
A Novel Intelligent Inversion Method of Hydrogeological Parameters Based on the Disturbance-Inspired Equilibrium Optimizer
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DOI：
10.3390/su14063267
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发表时间：
2022-03
期刊：
影响因子：
3.9
通讯作者：
William Yang Wang;J. T. Kang;Kai Li;Y. Fan;P. Lin
中科院分区：
文献类型：
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作者：
William Yang Wang;J. T. Kang;Kai Li;Y. Fan;P. Lin
准确、快速地获取水文地质参数是地下水数值模拟和水源可持续性的关键问题。提出了一种基于扰动激励平衡优化器（DIEO）全局优化算法的水文地质参数智能反演方法。首先，给出了DIEO的数学模型和框架。使用了几种类型的数学基准函数来测试DIEO的性能。在此基础上，将抽水试验水文地质参数的智能反演转化为全局优化问题，并采用元启发式算法求解。构造了水文地质参数反演的目标函数，最后提出了基于DIEO的水文地质参数反演新方法。为了进一步验证所提出的智能反演方法的竞争力和效率，进行了三种类型的案例研究。结果表明，本文提出的智能反演方法能够准确、快速地获取水文地质参数，为其他领域的参数反演提供参考。
Accurate and quick acquisition of hydrogeological parameters is the critical issue for groundwater numerical simulation and sustainability of the water sources. A novel intelligent inversion method of hydrogeological parameter, based on the global optimization algorithm called the disturbance-inspired equilibrium optimizer (DIEO), is developed. Firstly, the mathematical model and the framework of DIEO are reported. Several types of mathematical benchmark functions are used to test the performance of the DIEO. Furthermore, the intelligent inversion of hydrogeological parameters of pumping tests is transformed into the global optimization problem, which can be solved by meta-heuristic algorithms. The objective function for hydrogeological parameter inversion is constructed, and the novel inversion method based on DIEO is finally proposed. To further validate the competitiveness and efficiency of the proposed intelligent inversion method, three types of case studies are carried out. The results show that the proposed intelligent inversion method is reliable for obtaining the hydrogeological parameters accurately and quickly, providing a reference for the inversion of parameters in other fields.