| 基于改进混合遗传算法的给水管网优化设计 |
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| 引用本文： | 储诚山,张宏伟,高飞亚,王蓓.基于改进混合遗传算法的给水管网优化设计[J].天津大学学报(自然科学与工程技术版),2006,39(10):1216-1226. |
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| 作者姓名： | 储诚山 张宏伟 高飞亚 王蓓 |
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| 作者单位： | [1]天津大学环境科学与工程学院,天津300072 [2]中国市政工程华北设计院,天津300074 [3]天津天保公用设施有限公司,天津300461 |
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| 摘 要： | 为解决给水管网的优化设计问题，建立了给水管网优化设计数学模型，提出了适于管网优化设计的改进混合遗传算法．进而对遗传算法改进方法、水力计算的信赖域法、适应度函数的建立、遗传操作和整数编码技术等进行分析，并以一个典型的工程案例进行验证．结果表明，改进混合遗传算法方法所得到的目标函数值和管网水力性能明显优于传统设计方法，充分说明了改进混合遗传算法方法用于管网优化设计的实用性和有效性．
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| 关 键 词： | 改进混合遗传算法 给水管网 优化设计 迁移策略 非线性最小二乘法 信赖域法 |
| 文章编号： | 0493-2137（2006）10-1216-11 |
| 收稿时间： | 2006-02-20 |
| 修稿时间： | 2006-02-202006-04-29 |
Optimal Design of Water Distribution Network Based on Improved Hybrid Genetic Algorithm |
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| CHU Cheng-shan,ZHANG Hong-wei,GAO Fei-ya,WANG Bei.Optimal Design of Water Distribution Network Based on Improved Hybrid Genetic Algorithm[J].Journal of Tianjin University(Science and Technology),2006,39(10):1216-1226. |
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| Authors: | CHU Cheng-shan ZHANG Hong-wei GAO Fei-ya WANG Bei |
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| Institution: | 1. School of Environment Science and Engineering, Tianjin University, Tianjin 300072, China; 2. North China Municipal Engineering Design and Research Institute, Tianjin 300074, China; 3. Tianjin TianBao Public Service Company Limited, Tianjin 300461, China |
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| Abstract: | To solve the optimal design of water distribution network,the optimal model of water distribution network design was set up.And a method named improved hybrid genetic algorithm(IHGA) was proposed for process of the model.Furthermore,analyses were made of the improved genetic algorithm,trust region method for hydraulic calculation,construction of fitness function,genetic operator,and technology of integer-coding,etc.Lastly,a typical example was used to verify the method of IHGA and the results show that the obtained object value and the hydraulic performance by IHGA are prior to those by traditional method,which indicates that the IHGA method is of practicality and validity to the optimal design of water distribution network. |
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| Keywords: | improved hybrid genetic algorithm water distribution system optimal design migrate strategy non-linear least squares approach trust region method |
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