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	城镇给水管网多目标优化设计算法及应用
	刘书明 ; 王欢欢 ; 信昆仑 ; LIU Shu-ming ; WANG Huan-huan ; XIN Kun-lun
	2016-03-30 ; 2016-03-30
关键词	给水管网 非支配排序遗传算法 多目标优化 MATLAB EPANET water distribution network non-dominated sorting genetic algorithm multi-objec-tive optimization MATLAB EPANET TU991.33
其他题名	Multi-objective Optimal Design of Large-scale Urban Water Distribution Network
中文摘要	在城镇较大规模给水管网设计中,经常出现管段管径较大、流速较低、设计方案不经济等问题。针对城镇给水管网优化问题,利用MATLAB和EPANET软件建立了基于管网经济费用和冗余度的多目标管网优化设计模型。实例研究利用非支配排序遗传算法(NSGA-Ⅱ),对多个目标函数添加惩罚项,求解得到一系列Pareto最优解集,使优化模型的求解收敛速度更快。结果可为设计决策者提供多套不同的选择方案,管径组合方案更加科学合理,切于实际。模型利用NSGA-Ⅱ成功解决了较大规模真实给水管网的多目标优化问题。; In the design of a large-scale water distribution system,common problems include oversized pipe diameters,low flow velocity and cost-effectiveness. Using economic costs and network redundancy as objective functions,a model for multi-objective optimal design of a large-scale urban water distribution network was built using MATLAB and EPANET. Multiple penalty functions were employed in the optimization process using the non-dominated sorting genetic algorithm(NSGA-Ⅱ) to get a series of Pareto solution sets. The model had a fast speed of convergence and could provide decision-makers for multiple sets of various solutions. Compared to single objective solutions,the results obtained using the model were more reasonable and practical. Multiple objective optimization problems in real-life networks could also be solved by the model using NSGA-Ⅱ.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/144175]
专题	清华大学
推荐引用方式 GB/T 7714	刘书明,王欢欢,信昆仑,等. 城镇给水管网多目标优化设计算法及应用[J],2016, 2016.
APA	刘书明,王欢欢,信昆仑,LIU Shu-ming,WANG Huan-huan,&XIN Kun-lun.(2016).城镇给水管网多目标优化设计算法及应用..
MLA	刘书明,et al."城镇给水管网多目标优化设计算法及应用".(2016).

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