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| Evaluating projection pursuit model of irrigation district based on ant colony optimization algorithm for continuous domains |
| Fei Liangjun1, Sun Jie1,2, Ren Changjiang1, Xie Fang1 |
| 1. Institute of Water Resources and Hydro-electric Engineering, Xi′an University of Technology, Xi′an, Shaanxi 710048, China; 2.Xi′an Research Institute, China Coal Technology and Engineering Group, Xi′an, Shaanxi 710077, China |
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Abstract There exist two limitations in ant colony optimization algorithm for continuous domains, namely the model parameters must be in the range of 0 to 1 and the algorithm fails to search a potential optimal function value between nodes. Therefore two updates are proposed to remove the limitations,(1)modify the decoding formula to expand the parameter domain into the whole real number domain,(2)use a 3D table-T(m×d+m+1,10)to search an optimum function, and 10×m-10 node ci-ties are reduced compared with the original 2D table-T(m,d+2,10). In the improved algorithm, the number of nodes has been reduced and invalid search paths have been removed, causing greatly shortened computational time and improved accuracy. In addition, the improved algorithm is introduced into the projection pursuit model and the weight coefficients of various indices are obtained based on Jiaokou Irrigation District of River Wei in Guanzhong Plan of Shanxi Province. It was turned out that the comprehensive projections are 1.353 1(1999), 2.074 7(2005), 2.502 2(2008)and 2.403 9(2011), and the operation situation of the district falls into fair, fair, good and good category, respectively in those years. Except 2011, the district performed better and better as time went on. These evaluating results match the actual situation quite well.
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Received: 20 May 2013
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| [1]朱秀珍.大型灌区运行状况综合评价研究[D]. 武汉:武汉大学水利水电学院,2005:1-63.[2]崔亚峰,陈菁,代小平. 基于灰色关联模型的松花江流域大型灌区现状评价[J]. 水利经济, 2013,31(4):54-58. Cui Yafeng, Chen Jing, Dai Xiaoping. Evaluation of current situation of large-scale irrigation districts in Song-hua River Basin based on grey correlation model[J]. Journal of Economics of Water Resources, 2013,31(4):54-58.(in Chinese)[3]游黎.大型灌区运行状况综合评价指标体系与评价方法研究[D].西安:西安理工大学水利水电学院,2010:17-42.[4]Malano H M,Burton Martin. Guidelines for Benchmar-king Performance in the Irrigation and Drainage Sector[M]. Rome, Italy: Food & Agriculture Organization of the United Nations, 2001.[5]Charles M Burt, Robert E Walker, Stuart W style. Irrigation System Evaluation Manual[R]. Sacramento: Ca-lifomia Dept of Water Resource and Dept of Agriculture, 1999:201-213.[6]蒋国勇,操华良. 参数投影寻踪模型在灌区运行状况综合评价中的应用[J]. 水土保持研究,2006,13(5):87-89. Jiang Guoyong, Cao Hualiang. Application of PPC mo-del for comprehensive evaluation of irrigation scheme[J]. Research of Soil and Water Conservation, 2006,13(5):87-89.(in Chinese)[7]杜菲,韦富英,王宇. 基于免疫遗传算法优化的投影寻踪灌区综合评价[J]. 水利科技与经济, 2009,15(2):132-134. Du Fei, Wei Fuying, Wang Yu. Projection pursuit comprehensive evaluation of irrigation scheme based on immune genetic algorithms[J]. Water Conservancy Science and Technology and Economy, 2009,15(2):132-134.(in Chinese)[8]徐超,叶建炳. 基于微粒群算法优化的投影寻踪灌区综合评价[J]. 水利科技与经济, 2011,17(2):25-27. Xu Chao, Ye Jianbing. Comprehensive evaluation of projection pursuit irrigation scheme basis on particle swarm optimization[J]. Water Conservancy Science and Technology and Economy, 2011,17(2):25-27.(in Chinese)[9]曾鸣,黄立新,邱柳青,等. 基于连续蚁群优化算法的输变电设备检修决策模型[J]. 华东电力, 2012,40(6):1007-1011. Zeng Ming, Huang Lixin, Qiu Liuqing, et al. Transmission maintenance decision-making model based on ant colony optimization algorithm for continuous domains[J]. East China Electric Power, 2012,40(6):1007-1011.(in Chinese)[10]陈烨. 用于连续函数优化的蚁群算法[J]. 四川大学学报:工程科学版, 2004,36(6):117-120. Chen Ye. Ant colony system for continuous function optimization[J]. Journal of Sichuan University: Enginee-ring Science Edition, 2004,36(6):117-120.(in Chinese)[11]王玮,赵玉宇. 基于遗传算法的投影寻踪模型在玉米沟灌模式优化中的应用[J]. 水利科技与经济, 2013,19(1):63-65. Wang Wei, Zhao Yuyu. Application of pursuit comprehensive based on genetic algorithms for the optimize of corn furrow irrigation mode[J]. Water Conservancy Science and Technology and Economy, 2013,19(1):63-65.(in Chinese)[12]刘明冲,刘瑞卿,张路路, 等. 基于粒子群优化投影寻踪模型的土地整治综合效益评价研究[J]. 土壤通报, 2013,44(5):1047-1052. Liu Mingchong, Liu Ruiqing, Zhang Lulu, et al. Comprehensive benefit evaluation of land consolidation based on projection pursuit model optimized by particle swarm optimization[J].Chinese Journal of Soil Science, 2013,44(5):1047-1052.(in Chinese)[13]万中英,王明文,揭安全, 等. 投影寻踪模型中投影指标的改进[J]. 江西师范大学学报:自然科学版, 2013,37(3):284-287. Wan Zhongying, Wang Mingwen, Jie Anquan, et al. The projection index′s improvement in projection pursuit model[J]. Journal of Jiangxi Normal University: Natural Science Edition, 2013,37(3):284-287.(in Chinese)[14]王正环. 一种改进的DSR模型[J]. 三明学院学报, 2008,25(2):236-240. Wang Zhenghuan. An improved DSR model[J]. Journal of Sanming University, 2008,25(2):236-240.(in Chinese)[15]陕西省水利厅. 陕西省水利统计年鉴(2005—2011)[R]. 西安:陕西省水利厅, 2012. |
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