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  

Application of PGA on a New Optimal Design Model of Water Supply Networks

作　　者：徐得潜[1] 郭维刚[1] 潘玲[1] 

机构地区：[1]合肥工业大学土木建筑工程学院,安徽合肥230009

出　　处：《安徽建筑》2006年第2期5-7,共3页Anhui Architecture

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。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.

关 键 词：给水管网 优化设计 并行遗传算法 期望时流量 

分 类 号：TU991.62[建筑科学—市政工程]