|
|
|
| Optimization of irrigation channel section based on cat swarm algorithm and analysis on design parameters |
| SHANG Guanlei1, LIU Dong1,2,3,4, HU Yuxiang1 |
| 1.School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; 2.Key Laboratory of Water-Saving Agriculture of Universities in Heilongjiang Province, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; 3.Collaborative Innovation Center for Improving Grain Production Capacity of Heilongjiang Province, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; 4.Key Laboratory of High Efficient Utilization of Agricultural Water Resource of Ministry of Agriculture, Northeast Agricultural University, Harbin, Heilongjiang 150030, China |
|
|
|
|
Abstract In order to replace some inefficient empirical test algorithms of engineering designs, this paper presents 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,this paper searches the effect of the slope coefficient change on the channel cross-section optimization under the global space based on CSO and has achieved good results.Taking Jiangchuan irrigation area in Heilongjiang Province as 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 so can solve the problem of channel cross-section optimization effectively. The result shows that area of channel sections reduced by 4.2% and the land occupation also reduced. For parameters, objective function is the best when channel slope is 1.5, width of channel bottom is 2.000 0 m and height of channel is 1.500 0 m. And 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 showed a trend of increasing along with the increase of width of channel bottom.
|
|
Received: 20 July 2015
|
|
|
|
| [1]鲍卫锋, 黄介生, 孔祥元,等. 基于遗传算法的渠道断面最优设计[J]. 中国农村水利水电, 2005(5):75-76. BAO Weifeng, HUANG Jiesheng,KONG Xiangyuan,et al. Optimal design of canal sections based on genetic algorithms[J]. China rural water and hydropower, 2005(5):75-76.(in Chinese)[2]倪士超, 迟道才. 基于扩展微分进化算法的渠道断面优化设计[J]. 人民长江, 2009, 40(13):81-82. NI Shichao,CHI Daocai. Channel section optimization design based on extended differential evolution algorithm[J].Yangtze River,2009,40(13):81-82.(in Chinese)[3]余长洪, 周明耀, 姜健俊,等. 灌区节水改造中防渗渠道断面的优化设计[J]. 农业工程学报, 2004, 20(1):91-94. YU Changhong, ZHOU Mingyao, JIANG Jianjun,et al. Optimal design of anti-seepage channel section for water-saving transformation in irrigation district[J]. Transactions of the CSAE, 2004, 20(1):91-94.(in Chinese)[4]钱坤, 苏国韶. 人工蜂群算法在渠道断面优化设计中的应用[J]. 水利水电科技进展, 2011, 31(3):57-60. QIAN Kun, SU Guoshao. Application of artificial bee colony algorithm to optimization of channel section[J]. Advances in science & technology of water resources, 2011, 31(3):57-60.(in Chinese)[5]郭凤台, 侯毅凯, 杨丽,等. 免疫遗传算法在洋河二灌区渠道优化设计中的应用[J]. 农业工程学报, 2007,23(3):85-87. GUO Fengtai, HOU Yikai, YANG Li,et al. Application of immune genetic algorithm to optimum design of second irrigation area of Yanghe River[J]. Transactions of the CSAE, 2007, 23(3):85-87.(in Chinese)[6]ATMAPOOJYA S L, INGLE R N, KACIMOV A R, et al. Design of minimum seepage loss canal sections[J]. Journal of irrigation & drainage engineering, 2001, 126(1):28-32.[7]CHU S C, TSAI P W, PAN J S. Cat swarm optimization[J]. Lecture notes in computer science, 2006(6):854-858.[8]YANG F, DING M, ZHANG X, et al. Non-rigid multi-modal medical image registration by combining L-BFGS-B with cat swarm optimization[J]. Information sciences, 2015, 316:440-456.[9]PANDA G, PRADHAN P M, MAJHI B. IIR system identification using cat swarm optimization[J]. Expert systems with applications, 2011, 38(10):12671-12683.[10]PRADHAN P M, PANDA G. Solving multiobjective problems using cat swarm optimization[J]. Expert systems with applications, 2012, 39(3):2956-2964.[11]中华人民共和国住房和城乡建设部.渠道防渗工程技术规范(GBT 50600-2010)[S].北京:中国计划出版社,1997.[12]中华人民共和国水利部.灌溉与排水工程设计规范(GB50288-99)[S]. 北京:中国计划出版社,1999.[13]中华人民共和国水利部.农田排水工程技术规范(SL4-2013)[S]. 北京:中国水利水电出版社,2013. |
|
|
|
