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基于第二代非支配排序遗传算法(NSGA-Ⅱ)的水资源优化配置
引用本文:刘士明,于 丹.基于第二代非支配排序遗传算法(NSGA-Ⅱ)的水资源优化配置[J].水资源与水工程学报,2013,24(5):185-188.
作者姓名:刘士明  于 丹
作者单位:中国水电基础局有限公司,天津301700
摘    要:水资源优化配置作为解决水资源短缺的重要手段,对于区域社会经济的可持续发展具有重要的意义。水资源优化配置模型是一个结构复杂的综合系统,传统的优化方法难以求得模型的全局最优解。第二代非支配排序遗传算法(NSGA-Ⅱ)是当前解决多目标优化问题最有效的方法之一,但在水资源优化配置领域应用很少。本文以浐灞河流域为例,尝试利用NSGA-Ⅱ优化方法求解该地区水资源多目标优化配置模型,研究了该方法在水资源优化配置模型求解中的适用性。结果表明:该方法得到的水资源优化配置结果合理、可行。

关 键 词:水资源  优化配置  多目标  NSGA-Ⅱ
收稿时间:3/3/2013 12:00:00 AM
修稿时间:2013/3/27 0:00:00

Optimal allocation of water resources based on non-dominated sorting genetic algorithm-II
LIU Shiming and YU Dan.Optimal allocation of water resources based on non-dominated sorting genetic algorithm-II[J].Journal of water resources and water engineering,2013,24(5):185-188.
Authors:LIU Shiming and YU Dan
Affiliation:( Sino-hydro Foundation Engineering Co. ,Ltd. , Tianfin 301700, China)
Abstract:Water resources optimal allocation is an effective way to solve water shortage and has important significance for the sustainable development of regional socio-economy. The optimal allocation model of water resources is a complex comprehensive system. It is difficult to find the global optimal solution using the traditional optimum method. The non-dominated sorting genetic algorithm (NSGA - It ) is one of the most effective methods to solve multi-objective optimal problems. However, there is little application in the field of water resources optimal allocation. Taking the Chanba River basin for example, the paper used NSGA - Ⅱ to set up the model of multi-objective water resources optimal allocation and study the applicability of the method in the model solution of water resources optimal allocation. The results of water resources allocation gotten by the method are reasonable and applicable.
Keywords:water resources  optimal allocation  multi-objective  NSGA - II
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