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将多目标进化算法与启发式算法相接合,对供水管网微观模型进行优化调度研究.目标函数为供水系统的运行费用和维护费用最小化,以及水压服务水平的最大化(保证安全供水),以各泵站各型号水泵的开启和调速泵的转数比为决策变量,进行二进制-实数混合编码,并采用新型的交叉算子.运用NSGA-Ⅱ、epsilon-MOEA、SPEA2三种多目标进化方法求解优化运行模型,并通过工程算例进行比较.应用表明,多目标进化算法能为供水系统的优化决策提供支持.
The multi-objective evolutionary algorithm is combined with the heuristic algorithm to optimize the water supply network microscopic model.The objective function is to minimize the operating costs and maintenance costs of the water supply system and to maximize the water pressure service level (to ensure safe water supply) , With the pump of each type of pump open and the pump speed ratio as a decision variable, binary - real hybrid coding, and the use of new crossover operator.Using NSGA-Ⅱ, epsilon-MOEA, SPEA2 more than three The objective evolutionary method solves the optimal operation model and compares it with engineering examples.The application shows that the multi-objective evolutionary algorithm can support the optimal decision of water supply system.