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基于遗传算法的开封杏花营组团污水管网优化设计
引用本文:周荣敏,雷延峰,王承煜.基于遗传算法的开封杏花营组团污水管网优化设计[J].河南科学,2009,27(1):91-94.
作者姓名:周荣敏  雷延峰  王承煜
作者单位:1. 郑州大学水利与环境学院,郑州,450001
2. 开封市市政工程研究所,河南,开封,475100
基金项目:国家自然科学基金,河南省教育厅自然科学研究资助计划项目 
摘    要:应用遗传算法进行了杏花营组团污水主干管网的优化设计,所得最优设计方案的管网费用仅为按传统水力计算所确定的初步设计方案的74%,可节省大量工程投资.将传统的污水管网水力计算方法与新型的遗传算法有机融合进行污水管网优化设计,能有效提高工程设计效率和设计质量,值得在工程实际中加以推广应用.

关 键 词:遗传算法  污水管网  优化设计  费用函数

Optimal Design of Sewer Pipe Network of the Xinghuaying Residential Group Based on Genetic Algorithms
Zhou Rongmin,Lei Yanfeng,Wang Chengyu.Optimal Design of Sewer Pipe Network of the Xinghuaying Residential Group Based on Genetic Algorithms[J].Henan Science,2009,27(1):91-94.
Authors:Zhou Rongmin  Lei Yanfeng  Wang Chengyu
Institution:1. College of Hydraulic and Environmental Engineering;Zhengzhou University;Zhengzhou 450001;China;2. Institute of Municipal Engineering of Kaifeng City;Kaifeng 475100;Henan China
Abstract:The genetic algorithms was used to realize the optimal design of the main sewer pipe network of the Xinghuaying residential group. The cost of the optimum design schemes achieved by genetic algorithms is only the 75 percentage of the primary design schemes and can save much investment. Blending the traditional hydraulic computation method with the genetic algorithms to realize the sewer pipe network optimal design can improve the design equality and efficiency of sewer pipe network design and is worth to be...
Keywords:genetic algorithms  sewer pipe network  optimal design  cost function  
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