计算智能方法在灌排工程中的应用研究进展

现代灌排工程是一个多阶段、多目标、多层次、多属性、多功能的复杂系统，传统理论与方法处理该问题时已日显掣肘。作为现代人工智能技术研究前沿之一的计算智能，与古老而又现代的灌排系统工程相结合，是灌排工程日益增加的复杂性和人工智能技术快速发展的必然结果。该文在对灌排工程的发展现状和计算智能的基本概念进行简要介绍的基础上，分别就计算智能中常用的理论方法如模糊集理论、人工神经网络、遗传算法、模拟退火算法、粗集理论以及混沌理论等，在灌排工程的系统规划、建模预测、工程设计、综合评判以及优化运行等方面的应用研究现状进行了简要回顾与综合评述，最后对计算智能在灌排系统工程应用中存在的问题及其发展前景进行了展望。

Research and application of computational intelligence method on irrigation and drainage engineering: a review

It is hard to use conventional theories and methods to deal with the problems of irrigation and drainage engineering at present, because the modern irrigation and drainage engineering is a complex system with multi-stage, multi-objective, multi-level, multi-attribute and multi-function. Computational intelligence(CI) is one of the most highlight fields in artificial intelligence technology nowadays. The rapid development of CI and increasing complexity of irrigation and drainage engineering attribute definitely to the combination of CI and the ancient, as well as modern, engineering of irrigation and drainage system. In this paper, a brief presentation on the development of irrigation and drainage engineering and the basic concept of CI is given firstly. Then, some of the frequently used theories and methods of CI, such as fuzzy sets(FS), artificial neural networks(ANN), genetic algorithms(GA), simulated annealing(SA), rough sets(RS) and chaos theory etc. and their applications on the system programming, modeling construction, forecasting, engineering design, comprehensive evaluation and running optimization of irrigation and drainage engineering are separately introduced and discussed. Finally, the existing problems and future application of CI on irrigation and drainage engineering are proposed.