摘要
为替代工程设计优化问题求解过程中运用的低效经验试算法,提出猫群算法以解决渠道断面优化设计问题.采用猫群算法在全局空间下搜索边坡系数的变化对渠道断面优化的影响,并且取得了良好的效果,在满足其他的约束条件下,选择适合的边坡系数1.5能够减少占地面积,节约投资.以黑龙江省江川灌区为例,对灌溉渠道断面进行优化并且对断面设计参数进行分析,算例表明,猫群算法高效迅速,精度高,能有效地解决渠道断面设计中的优化问题,具有相当高的应用价值.优化结果显示,模型计算所得渠道过水断面面积减小4.2%,工程占地随之减小.各个参数中,边坡系数取1.5、渠道底宽取2.000 0 m、水深取1.500 0 m时总体目标最佳,并且分析这3个参数对目标函数的影响规律,最佳目标随着边坡系数和水深的增大呈现出先增大后减小的趋势,随着渠道底宽的增大呈现逐渐增大的趋势.
In order to replace some inefficient empirical test algorithms of engineering designs,cat swarm optimization（ CSO） is presented to solve the problem of channel cross-section optimization. To meet with other constraints,choosing suitable slope can reduce land occupation and save investment.At the same time,the effect of the slope coefficient change on the channel cross-section optimization under the global space based on CSO were researched and has achieved good results. Taking Jiang-chuan irrigation area in Heilongjiang Province as an example,irrigation channel section is optimized and the design parameters are analyzed. The examples show that this method has the advantages of high efficiency and high precision and it can solve the problem of channel cross-section optimization effectively. The results show that the area of channel sections reduced by 4. 2% and the land occupation reduced together. For parameters,objective function is the best when the channel slope is 1. 5,the width of channel bottom is 2. 000 0 m and the height of channel is 1. 500 0 m. The effects of these parameters on objective function are analyzed. The best goal showed a trend of first increasing and then decreasing along with the increase of channel slope and height of channel,and a trend of increasing along with the increase of width of channel bottom.
出处
《排灌机械工程学报》
EI
CSCD
北大核心
2016年第2期128-132,共5页
Journal of Drainage and Irrigation Machinery Engineering
基金
"十二五"国家科技支撑计划项目(2013BAD20B04-S3)
水利部公益性行业科研专项经费项目(201301096)
黑龙江省水利科技项目(201319)
关键词
灌溉渠道
猫群算法
断面
优化设计
设计参数
irrigation channel
cat swarm optimization
cross-section
optimal design
design parameter
