基于超结构的多杂质用水网络优化模型具有维数高、非线性和非凸性等特点，是目前节水技术研究的难点之一，数学优化算法是解决这一问题的主要工具。介绍了数学优化算法中的经典数学规划法、智能算法和智能混合算法解决多杂质水网络优化问题的研究进展。智能混合算法通用性高，较其他算法具有更强的全局和局部寻优能力，更适用于多杂质水网络的优化。开发智能混合算法，综合考虑换热网络和着眼企业现场条件是今后水网络优化研究的重点。%Since the opti mized model of water networks having superstructural polymictic impurity is characterized by high dimensions,non-linearity and non-convexity,etc,it is one of the difficulties in the present research on water-saving technology. Mathematical optimization algorithm is the main tool for solving this problem. The research progress in the classical mathematical programming of mathematical optimization algonithms and intelligent algo-rithms and intelligent hybrid algorithms for solving the problems in water network having polymictic impurity is in-troduced. The intelligent hybrid algorithm,which has higher versatility and stronger global and local search ability, is more suitable for the optimization of water networks having polymictic impurity. Developing intelligent hybrid al-gorithm,comprehensively studying the heat exchange network and focusing on the future corporate site conditions will be the research focus of the water network optimization in the future.
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