水资源保护2018，Vol.34Issue(2)：34-41,8.DOI:10.3880/j.issn.1004-6933.2018.02.07
改进的多目标量子遗传算法在南水北调东线工程江苏段水资源优化调度中的应用
Appliacation of improved multi-objective quantum genetic algorithm on water resources optimal operation of Jiangsu Section of South-to-North Water Transfer East Route Project
摘要
Abstract
A water resources optimal operation model of Jiangsu Section of South-to-North Water Transfer East Route Project was developed in this study.The improved multi-objective quantum genetic algorithm was adopted and the multiple attribute decision making method of Pareto optimal set was applied based on a combination weighting approach.In the conditions of normal,dry,and extremely dry,compared with the conventional operation,the water shortage could be reduced by 0.89 billion m3,0.87 billion m3,and 0.08 billion m3,respectively,and the pumping amount of the system could be reduced by 20.14 billion m3,39.14 billion m3 and 50.76 billion m3,respectively,with the optimal operation.It shows that the optimal operation can make full use of the regulation and storage capacity of lakes,improve the satisfaction of water users,and reduce the cost of pumping.关键词
多目标优化/南水北调东线工程江苏段/改进的多目标量子遗传算法/水资源优化调度Key words
multi-objective optimization/Jiangsu Section of South-to-North Water Transfer East Route Project/improved multi-objective quantum genetic algorithm/water resources optimal operation分类
建筑与水利引用本文复制引用
方国华,郭玉雪,闻昕,黄显峰..改进的多目标量子遗传算法在南水北调东线工程江苏段水资源优化调度中的应用[J].水资源保护,2018,34(2):34-41,8.基金项目
江苏省水利科技项目(2014012) （2014012）
江苏省研究生培养创新工程(2016B03257) （2016B03257）
