Optimizing channel cross section in irrigation area using improved cat swarm optimization algorithm

Authors

  • Liu Dong 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 2. Heilongjiang Provincial Collaborative Innovation Center of Grain production Capacity Improvement, Northeast Agricultural University, Harbin 150030, China; 3. Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, China
  • Hu Yuxiang 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 4. Jilin Agriculture Science and Technology College, Jilin 1301002, China
  • Fu Qiang 1. School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 2. Heilongjiang Provincial Collaborative Innovation Center of Grain production Capacity Improvement, Northeast Agricultural University, Harbin 150030, China; 3. Key Laboratory of High Efficiency Utilization of Agricultural Water Resource of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, China
  • Khan Muhammad Imran 1. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China
  • Cui Song 1. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China
  • Zhao Yinmao 1. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China

DOI:

https://doi.org/10.25165/ijabe.v9i5.2531

Keywords:

cat swarm optimization (COS), exponential inertia weight coefficient, adoptive mutation operation, water loss, cross section, open channel

Abstract

This research aimed to design the channel cross section with low water loss in irrigation areas. The traditional methods and models are based on explicit equations which neglect seepage and evaporation losses with low accuracy. To rectify this problem, in this research, an improved cat swarm optimization (ICSO) was obtained by adding exponential inertia weight coefficient and mutation to enhance the efficiency of conventional cat swarm optimization (CSO). Finally, the Fifth main channel of Jiangdong Irrigation area in Heilongjiang Province was taken as a study area to test the ability of ICSO. Comparing to the original design, the reduction of water loss was 20% with low flow errors. Furthermore, the ICSO was compared with genetic algorithm (GA), the particle swarm optimization (PSO) and cat swarm algorithm (CSO) to verify the effectiveness in the channel section optimization. The results are satisfactory and the method can be used for reliable design of artificial open channels. Keywords: cat swarm optimization (COS), exponential inertia weight coefficient, adoptive mutation operation, water loss, cross section, open channel DOI: 10.3965/j.ijabe.20160905.2531 Citation: Liu D, Hu Y X, Fu Q, Imran K M, Cui S, Zhao Y M. Optimizing channel cross section in irrigation area using improved cat swarm optimization algorithm. Int J Agric & Biol Eng, 2016; 9(5): 76－82.

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Published

2016-09-30

How to Cite

Dong, L., Yuxiang, H., Qiang, F., Imran, K. M., Song, C., & Yinmao, Z. (2016). Optimizing channel cross section in irrigation area using improved cat swarm optimization algorithm. International Journal of Agricultural and Biological Engineering, 9(5), 76–82. https://doi.org/10.25165/ijabe.v9i5.2531

Issue

Vol. 9 No. 5 (2016): IJABE

Section

Natural Resources and Environmental Systems

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