Abstract The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for automatic generation of computer programs. In recent decades, GP has been frequently applied on various kind of engineering problems and undergone speedy advancements. A number of studies have demonstrated the advantage of GP to solve many practical problems associated with water resources engineering (WRE). GP has a unique feature of introducing explicit models for nonlinear processes in the WRE, which can provide new insight into the understanding of the process. Considering continuous growth of GP and its importance to both water industry and academia, this paper presents a comprehensive review on the recent progress and applications of GP in the WRE fields. Our review commences with brief explanations on the fundamentals of classic GP and its advanced variants (including multigene GP, linear GP, gene expression programming, and grammar-based GP), which have been proven to be useful and frequently used in the WRE. The representative papers having wide range of applications are clustered in three domains of hydrological, hydraulic, and hydroclimatological studies, and outlined or discussed at each domain. Finally, this paper was concluded with discussions of the optimum selection of GP parameters and likely future research directions in the WRE are suggested.

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水资源工程中的遗传编程：最新评论

摘要 最先进的遗传编程（GP）方法是一种用于自动生成计算机程序的进化算法。近几十年来，GP 被频繁地应用于各种工程问题，并得到了迅速的发展。许多研究已经证明了 GP 在解决与水资源工程 (WRE) 相关的许多实际问题方面的优势。GP 的独特之处在于在 WRE 中引入了非线性过程的显式模型，可以提供对过程理解的新见解。考虑到 GP 的持续增长及其对水工业和学术界的重要性，本文全面回顾了 GP 在 WRE 领域的最新进展和应用。我们的综述首先简要解释了经典 GP 及其高级变体（包括多基因 GP、线性 GP、基因表达编程和基于语法的 GP）的基本原理，这些已被证明在 WRE 中有用且经常使用。具有广泛应用的代表性论文集中在水文、水力和水文气候研究三个领域，并在每个领域进行概述或讨论。最后，本文最后讨论了 GP 参数的最佳选择，并提出了 WRE 未来可能的研究方向。具有广泛应用的代表性论文集中在水文、水力和水文气候研究三个领域，并在每个领域进行概述或讨论。最后，本文最后讨论了 GP 参数的最佳选择，并提出了 WRE 未来可能的研究方向。具有广泛应用的代表性论文集中在水文、水力和水文气候研究三个领域，并在每个领域进行概述或讨论。最后，本文最后讨论了 GP 参数的最佳选择，并提出了 WRE 未来可能的研究方向。