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并行遗传算法在一种新的给水管网优化设计数学模型中的应用
引用本文:徐得潜,郭维刚,潘玲. 并行遗传算法在一种新的给水管网优化设计数学模型中的应用[J]. 安徽建筑, 2006, 13(2): 5-7
作者姓名:徐得潜  郭维刚  潘玲
作者单位:合肥工业大学土木建筑工程学院,安徽,合肥,230009
摘    要:
文章考虑峰谷电价和用水量变化曲线的影响,建立了以期望时流量设计给水管网的数学模型,应用并行遗传算法(PGA)对给水管网进行优化设计计算。计算中将整个群体划分为几个子群体,各自独立进化,选择、交叉和变异算子及其它参数都做了相应改进。通过工程实例分析,证实了并行遗传算法的有效性以及以期望时流量设计管网的合理性。

关 键 词:给水管网  优化设计  并行遗传算法  期望时流量
文章编号:1007-7359(2006)02-0005-03
收稿时间:2006-02-09
修稿时间:2006-02-09

Application of PGA on a New Optimal Design Model of Water Supply Networks
Xu Deqian,Guo Weigang,Pan Ling. Application of PGA on a New Optimal Design Model of Water Supply Networks[J]. Anhui Architecture, 2006, 13(2): 5-7
Authors:Xu Deqian  Guo Weigang  Pan Ling
Affiliation:School of Civil Engineering, Hefei University of Technology, Hefei 230009, China
Abstract:
Considering the electrovalence and the curve of water consumption ,this paper sets up the optimal design model of water supply networks based on the expectation flux , and designs the networks with the Parallel Genetic Algorithm (PGA) . The whole colony is divided into some colonies and they have evolution independently. Selection operator,crossing operator, mutation operator and some parameters setting are advanced. Finally, the PGA model and the expectation flux are verified by application on engineering project and the model based on the expectation flux is more rational.
Keywords:water supply networks   optimal design    parallel genetic algorithms   the expectation flux
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