基于NSGA-III算法的水资源优化配置研究
Study on Optimal Allocation of Water Resources Based on NSGA-III Algorithm
DOI: 10.12677/JWRR.2022.112017, PDF,    科研立项经费支持
作者: 王文川, 陈思展：华北水利水电大学水资源学院，河南 郑州
关键词: 多目标；优化配置；水资源；NSGA-III算法；栾川县；Multi-Objective； Optimal Allocation； Water Resources； NSGA-III Algorithm； Luanchuan County
摘要: 为科学利用和配置有限水资源，提高区域水资源利用率，水资源优化配置成为当下研究重点之一。本文以经济、社会、生态为目标，建立了区域水资源多目标优化配置模型，以栾川县水资源配置为例，引入NSGA-III算法对其进行求解，并与NSGA-II算法进行比较。对比分析了应用NSGA-III和NSGA-II算法求解经济效益目标函数解集的分布图以及三个目标函数的计算结果，结果表明求解栾川县水资源配置方案时，NSGA-III算法的种群分布比NSGA-II更加均匀集中，且目标效益值优于NSGA-II。说明利用NSGA-III算法在求解区域水资源配置方案时对目标的选择能力更强，更适用于解决水资源优化配置问题，可以在其它区域推广应用。
Abstract: In order to scientifically utilize and allocate limited water resources and improve the utilization rate of regional water resources, optimal allocation of water resources has become one of the current re-search focuses. A multi-objective optimal regional water resources allocation model with economic, social and ecological goals was established. Taking Luanchuan County water resources allocation as an example, NSGA-III algorithm was introduced to solve it and compared with NSGA-II algorithm. The distribution diagram of the solution set of the economic benefit objective function and the calculation results of the three objective functions solved by NSGA-III and NSGA-II algorithm were compared and analyzed. The results show that when solving the water resource allocation scheme of Luanchuan County, the population distribution of NSGA-III algorithm is more uniform and concentration than that of NSGA-II, and the target benefit value is better than NSGA-II. It indicates that NSGA-III algorithm has a stronger ability to select targets when solving regional water resource allocation schemes, and is more suitable for solving optimal water resource allocation problems, which can be popularized and applied in other region.
文章引用：王文川, 陈思展. 基于NSGA-III算法的水资源优化配置研究[J]. 水资源研究, 2022, 11(2): 159-168. https://doi.org/10.12677/JWRR.2022.112017

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