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用遗传算法实现污水管网的优化设计

Optimization of Design for Sewer Network by Using Genetic Algorithm

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【作者】 伊学农刘遂庆周琪

【Author】 YI Xue-nong~(1,2), LIU Sui-qing~1, ZHOU Qi~1 (1. School of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; 2. School of Environmental Engineering, Shandong Institute of Architecture Engi- neering, Jinan 250014, China)

【机构】 同济大学环境科学与工程学院同济大学环境科学与工程学院 上海200092山东建筑工程学院环境工程学院山东济南250014上海200092上海200092

【摘要】 提出用遗传算法优化大中型污水管网的设计,并与节点递归算法相结合,既满足了污水管网系统内部节点的水力衔接,也保证了管网系统的全局优化。遗传算法具有只需目标函数值而无需导数等信息的优点,并能从全局出发对管网水力参数进行优化,达到费用最低的目标。结合中型污水管网的优化设计,确定了遗传算法的运行参数。

【Abstract】 Use of genetic algorithm to optimize the design for medium- and large-scale sewer network in combination with the node recursive algorithm is presented. The method can satisfy the requirement for joining hydraulically the nodes within the network, and achieve the overall optimization of the network. Genetic algorithm needs only the objective function values and needs not the derivatives, and can optimize the hydraulic parameters of the whole network, so as to attain the target with the lowest cost. The operating parameters of genetic algorithm are determined based on the optimization design of medium-scale sewer network.

【关键词】 遗传算法污水管网优化设计
【Key words】 genetic algorithmsewer networkoptimization design
【基金】 国家高技术研究发展计划(863)项目(2002AA601023)
  • 【文献出处】 中国给水排水 ,China Water & Wastewater , 编辑部邮箱 ,2005年05期
  • 【分类号】TU992.02
  • 【被引频次】25
  • 【下载频次】579
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