摘要
现有对城市水循环系统的规划研究多为确定性规划研究,缺乏对水循环系统中不确定性因素的分析,限制了城市水资源的合理开发和利用。鉴于此,以城市水循环系统中的不确定性因素为主要研究对象,构建了城市水循环系统不确定规划模型,并利用改进型非支配排序遗传算法(NSGA-Ⅱ)对该模型进行求解,以期提高我国城市水资源的开发利用效率。
The existing research on planning of urban water circulation system is only confined to certainty planning, lack of the analysis of uncertainty factors, which restricts the development and utiliza- tion of urban water resources. Given this, taking the uncertainty factors of urban water circulation system as the main research object, the uncertainty programming model of urban water circulation system was constructed and solved by improved non-dominated sorting genetic algorithms （ NSGA-Ⅱ ） in order to im- prove the development and utilization efficiency of urban water resources in China.
出处
《中国给水排水》
CAS
CSCD
北大核心
2015年第1期72-76,共5页
China Water & Wastewater
基金
国家自然科学基金资助项目(71203158)
教育部人文社科基金资助项目(12YJC630248
14YJC630211)
关键词
城市水循环系统
不确定规划模型
改进型非支配排序遗传算法
多目标优化
urban water circulation system
uncertain programming model
improved non- dominated sorting genetic algorithms （NSGA-Ⅱ ）
multi-objective optimization
