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作 者:毛丹 Mao Dan(Southwest Municipal Engineering Design&Research Institute of China,Chengdu,China)
机构地区:[1]中国市政工程西南设计研究总院有限公司,四川成都
出 处:《科学技术创新》2024年第3期134-137,共4页Scientific and Technological Innovation
摘 要:给水管网优化设计中的目标函数具有多峰性和非线性,传统优化算法易陷入局部最优解,因此,本文研究基于改进蚁群算法的给水管网优化设计方法。通过给水管网的水力计算获取管网节点水压数据,引入自适应惩罚函数,将节点水压计算得来的惩罚成本加入经济性目标函数,形成给水管网优化设计的经济性模型,采用二进制编码改进蚁群算法后寻找模型最优解,完成给水管网的优化设计。采用设计方法对给水管网进行优化,可以在确保管网全部节点安全稳定供水的同时,获得更优的造价方案。The objective function in the optimal design of water supply network is multi-modal and nonlinear,and the traditional optimization algorithm is easy to fall into the local optimal solution.Therefore,this paper studies the optimal design method of water supply network based on the improved ant colony algorithm.The water pressure data of network nodes were obtained through hydraulic calculation of the water supply network,the adaptive penalty function was introduced,and the penalty cost calculated by the node water pressure was added to the economic objective function to form the economic model of the optimal design of the water supply network.The optimal solution of the model was found by improving the ant colony algorithm with binary coding,and the optimal design of the water supply network was completed.Using the design method to optimize the water supply network can ensure the safe and stable water supply of all nodes of the network and obtain a better cost scheme.
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