基于鲸鱼优化算法的区域水资源优化配置研究  

Optimal Allocation of Regional Water Resources Based on Whale Optimization Algorithm

作　　者：田林钢[1] 杨丹 TIAN Lin-gang;YANG Dan(North China University of Water Resources and Electric Power,Zhengzhou 450046,China)

机构地区：[1]华北水利水电大学,郑州450046

出　　处：《中国农村水利水电》2021年第7期31-34,42,共5页China Rural Water and Hydropower

基　　金：河南省高校科技创新团队支持计划项目(19IRTSTHN030)。

摘　　要：为解决区域水资源短缺和利用不合理问题,近年来水资源优化配置成为研究重点之一。以河南省某县为研究区,利用鲸鱼算法收敛速度快和全局寻优能力强等特点,求解水资源优化配置模型,得到2025年和2030年的配置方案。结果表明:2025年和2030年该县的水资源量可充分满足生活需水和生态需水,只在生产用水部门存在少量缺水,缺水率在10%以内,基本满足未来用水需求,配置方案科学合理;运用的鲸鱼优化算法克服了传统优化算法收敛速度慢等问题,在求解水资源优化配置问题上表现出较好的适应性和有效性。In order to solve the problem of regional water resources shortage and unreasonable utilization,the optimal allocation of water resources has become one of the research focuses in recent years.Taking a county in Henan Province as the research area,the optimal allocation model of water resources is solved by using the characteristics of fast convergence speed and strong global optimization ability of whale optimization algorithm,and the allocation schemes in 2025 and 2030 are obtained.The results show that in 2025 and 2030,the water resources of the county can fully meet the domestic and ecological water demand.There is only a small amount of water shortage in the production water department,with the water shortage rate within 10%,basically meeting the future water demand,and the allocation schemes is scientific and reasonable.The whale optimization algorithm overcomes the problem of the slow convergence speed of the traditional optimization algorithm,and shows good adaptability and effectiveness in solving the problem of optimal allocation of water resources.

关 键 词：鲸鱼优化算法 多目标 水资源 优化配置 

分 类 号：TV11[水利工程—水文学及水资源]