###
计算机系统应用英文版:2017,26(10):161-165
本文二维码信息
码上扫一扫!
面向水生态的闸坝调度方法
(1.中国科学技术大学 管理学院, 合肥 230026;2.淮河流域水资源保护局, 蚌埠 230000)
Dam Scheduling Method Oriented to Aquatic Ecosystems
(1.The School of Management, University of Science and Technology of China, Hefei 230026, China;2.Huaihe River Resources Protection Bureau, Bengbu 230000, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1601次   下载 2137
Received:January 12, 2017    
中文摘要: 淮河流域是我国水环境治理的重点之一.由于淮河流域水情复杂,所以容易发生水污染事件.本文立足于突发水污染情况,研究如何调动闸坝和水库的生态用水并在最短时间内初步治理水污染问题.闸坝调度问题是组合优化问题,水资源调度效率为目标函数,约束条件包括蓄水、水中物质浓度和闸坝距离等.本文采用人工鱼群调度算法(AFSA),并加以约束条件,满足治水需求.人工鱼群算法有快速的跟踪变化和跳出局部极值的优点,能避免算法初期早熟的问题.实验结果表明,基于人工鱼群算法的生态水调度方法,在处理这类问题,不仅精确有效,并且能在较少的迭代次数内找到满意解,具有很高的可行性,参考性.
中文关键词: 闸坝调度  水生态  鱼群算法  组合优化
Abstract:Huaihe River basin is one of the key areas for the water environment control. Due to its complicated water situation, water pollution is easy to happen. This paper considers the situation of emergent water pollution and how to schedule the ecological water in the dams and reservoirs to control the pollution in the shortest time. Dam scheduling problem is the combinatorial optimization problem, and the efficiency of scheduling is the objective function. The constraints include water storage capacity, concentration of water and dam distance. In this paper, the artificial fish swarm algorithm (AFSA) is applied to water pollution control requirements, which is adopted and satisfied. AFSA has the advantage of fast track change and jumping out of local extremum, and can avoid possible premature problems at initial stage. Experimental results show that the water ecological scheduling method based on AFSA performs accurately and efficiently in dealing with such problems. It can find near optimal solutions within fewer iterations, and the results have better feasibility and referential.
文章编号:     中图分类号:    文献标志码:
基金项目:国家科技重大专项(2014ZX07204006)
引用文本:
吕顺风,刘建,马科.面向水生态的闸坝调度方法.计算机系统应用,2017,26(10):161-165
LV Shun-Feng,LIU Jian,MA Ke.Dam Scheduling Method Oriented to Aquatic Ecosystems.COMPUTER SYSTEMS APPLICATIONS,2017,26(10):161-165