中国农业大学学报2017，Vol.22Issue(7)：71-77,7.DOI:10.11841/j.issn.1007-4333.2017.07.09
基于多目标遗传算法的渠系配水优化模型
Multi-objective genetic algorithm optimization model for canal scheduling
摘要
Abstract
Aiming at the complication of optimizing water delivery scheduling,and to reflect its spatial and temporal characteristics,a multi-variable and multi-objective optimization model for canal scheduling is proposed,which considers the time uncertainty.Decision variables are flow rates,start time and end time of the distributary canals.The objectives are to minimize the standard deviation of flow rates of superior canal and the seepage of the distributary canals.The model is solved by multi-objective genetic algorithm with the first objective taking the top priority.The results show that:On the premise of satisfying the need of actual operation,compared with planned conditions at the same period,the rotation decreases from 25 to 15 d,the average flow rate of superior canal increases from 1.298 to 1.414 m3/s,the water use efficiency grows from 0.651 to 0.706 and the amount of water into farmland rises by 14.25％.In conclusion,the model can realize concentrated and high-efficient water distribution,and it can be applied to many contexts in order to provide theoretical and technical support.关键词
渠系配水/多变量/优化模型/多目标遗传算法Key words
canal scheduling/multi-variable/optimization model/multi-objective genetic algorithm分类
农业科技引用本文复制引用
郭珊珊,郭萍,李茉..基于多目标遗传算法的渠系配水优化模型[J].中国农业大学学报,2017,22(7):71-77,7.基金项目
国家自然科学基金重大研究计划(91425302) （91425302）
