[1]袁秀伟.灰狼优化算法在洪泽区灌溉渠道断面优化设计中的应用[J].江苏水利,2022,(04):11-13+41.
 YUAN Xiuwei.Application of grey wolf optimization algorithm in optimization design of irrigation canal section in Hongze District[J].JIANGSU WATER RESOURCES,2022,(04):11-13+41.
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灰狼优化算法在洪泽区灌溉渠道断面优化设计中的应用()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2022年04期
页码:
11-13+41
栏目:
农村水利
出版日期:
2022-04-27

文章信息/Info

Title:
Application of grey wolf optimization algorithm in optimization design of irrigation canal section in Hongze District
文章编号:
1007-7839(2022)04-0011-0003
作者:
袁秀伟
(淮安市洪泽区水利局,江苏 淮安 223100)
Author(s):
YUAN Xiuwei
(Hongze District Water Resources Bureau of Huai’an City, Huai’an 223100,China)
关键词:
灌溉渠道灰狼优化算法断面设计
Keywords:
irrigation canal gray wolf optimization algorithm section design
分类号:
S277
文献标志码:
B
摘要:
传统渠道断面优化方法多采用试算法,存在效率较低且工作量较大的问题。为顺利推动洪泽区灌溉渠道运行能力整体提升工作,将灰狼群体智能优化算法引入灌溉渠道断面优化设计中。介绍了灰狼优化算法的基本原理以及其在洪泽区灌溉渠道断面设计中的应用,结果表明灰狼优化算法收敛效率很高,只需要极短的时间便可以取得最优断面,克服了传统试算方法计算时间长、工作量大、精度不高的问题。坡比对断面工程造价影响较大,在设计时应注意坡比的选择,控制工程成本。
Abstract:
The traditional canal section optimization method mostly adopts trial calculation method, which has the problems of low efficiency and large workload. In order to smoothly promote the overall improvement of the operation capacity of irrigation canals in Hongze District, the grey wolf swarm intelligent optimization algorithm is introduced into the optimization design of irrigation canal section. Combined with the project, the basic principle of grey wolf optimization algorithm and its application in the section design of irrigation canals in Hongze district are introduced. The results show that the convergence efficiency of grey wolf optimization algorithm is very high, and the optimal section can be obtained in a very short time, which overcomes the problems of long calculation time, heavy workload and low accuracy of the traditional trial calculation method. The slope ratio has a great impact on the section project cost. In the design, attention should be paid to the selection of slope ratio to control the project cost.

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备注/Memo

备注/Memo:
收稿日期:2021-09-06
作者简介:袁秀伟(1989—),女,工程师,本科,研究方向为农田水利。E-mail:esgaqe@163.com
更新日期/Last Update: 2022-04-27