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Identification of water quality model parameters using artificial bee colony algorithm
1. | Department of Environmental Engineering, Anhui University of Architecture, No. 856, JinZhai South Road, Hefei 230022, China |
2. | School of Earth and Space Sciences, University of Science and Technology of China, No. 96, JinZhai Road, Hefei 230026, China |
3. | School of Resources and Environmental Engineering, Hefei University of Technology, No. 193, TunXi Road, Hefei 230009, China, China |
References:
[1] |
G. Z. Chen, X. C. Xu and J. Q. Wang, Application of a modified artificial fish swarm algorithm to identification of water quality parameters,, Journal of Hydroelectric Engineering, 29 (2010), 108. Google Scholar |
[2] |
G. W. Fu, "River Water Quality Model and Simulation Computation,", 1st edition, (1987). Google Scholar |
[3] |
J. Q. Guo, Y. Li and H. S. Wang, Chaotic optimization for parameter estimation of water quality model of river,, Journal of Hydroelectric Engineering, 15 (2004), 95. Google Scholar |
[4] |
J. Q. Guo, Y. Li and H. S. Wang, Application of particle swarm optimization algorithms to determination of water quality parameters of river streams,, Advances in Science and Technology of Water Resources, 27 (2007), 1. Google Scholar |
[5] |
F. Kang, J. J. Li and Q. Xu, Improved artificial bee colony algorithm and its application in back analysis,, Water Resources and Power, 27 (2009), 126. Google Scholar |
[6] |
D. Karaboga, An idea based on bee swarm for numerical optimization [R],, Technical Report-TR06, (2005). Google Scholar |
[7] |
Y. H. Jia, Determination of water quality parameter based on genetic algorithm,, Haihe Water Resources, 1 (2008), 41. Google Scholar |
[8] |
D. Karaboga and B. Basturk, A powerful and efficient algorithm for numerical function optimization: Artificial Bee Colony (ABC) Algorithm,, Journal of Global Optimization, 39 (2007), 459.
doi: 10.1007/s10898-007-9149-x. |
[9] |
D. Karaboga and B. Basturk, On the performance of artificial bee colony (ABC) algorithm,, Applied Soft Computing, 8 (2008), 687.
doi: 10.1016/j.asoc.2007.05.007. |
[10] |
D. Karaboga, Artificial bee colony algorithm,, Scholarpedia, 5 (2010).
doi: 10.4249/scholarpedia.6915. |
[11] |
L. Q. Meng and J. Q. Guo, Application of chaos particle swarm optimization algorithm to determination of water quality parameter of river steam,, Journal of Earth Sciences and Environment, 31 (2009), 169. Google Scholar |
[12] |
J. P. Wang and S. T. Cheng, Application of genetic algorithm and simplex method in parameter identification of complicated environmental model,, Journal of Hydraulic Engineering, 36 (2005), 674. Google Scholar |
[13] |
W. Wang, G. M. Zeng and L. He, Estimation of water quality model parameters with simulated annealing algorithm,, Shui Li Xue Bao, 6 (2004), 61. Google Scholar |
[14] |
X. H. Yang, Z. F. Yang and J. Q. Li, A new method for parameter identification in water environment model,, Advances in Water Science, 14 (2003), 554. Google Scholar |
[15] |
Y. J. Zhang, J. Q. Guo and H. S. Wang, Chaotic-Annealing algorithm for parameter identification of river water quality model,, China Rural Water and Hydropower, 1 (2006), 38. Google Scholar |
[16] |
S. Zhu, G. H. Mao and G. H. Liu, Parameters identification of river water quality model based on finite volume method-hybrid genetic algorithm,, Journal of Hydroelectric Engineering, 26 (2007), 91. Google Scholar |
show all references
References:
[1] |
G. Z. Chen, X. C. Xu and J. Q. Wang, Application of a modified artificial fish swarm algorithm to identification of water quality parameters,, Journal of Hydroelectric Engineering, 29 (2010), 108. Google Scholar |
[2] |
G. W. Fu, "River Water Quality Model and Simulation Computation,", 1st edition, (1987). Google Scholar |
[3] |
J. Q. Guo, Y. Li and H. S. Wang, Chaotic optimization for parameter estimation of water quality model of river,, Journal of Hydroelectric Engineering, 15 (2004), 95. Google Scholar |
[4] |
J. Q. Guo, Y. Li and H. S. Wang, Application of particle swarm optimization algorithms to determination of water quality parameters of river streams,, Advances in Science and Technology of Water Resources, 27 (2007), 1. Google Scholar |
[5] |
F. Kang, J. J. Li and Q. Xu, Improved artificial bee colony algorithm and its application in back analysis,, Water Resources and Power, 27 (2009), 126. Google Scholar |
[6] |
D. Karaboga, An idea based on bee swarm for numerical optimization [R],, Technical Report-TR06, (2005). Google Scholar |
[7] |
Y. H. Jia, Determination of water quality parameter based on genetic algorithm,, Haihe Water Resources, 1 (2008), 41. Google Scholar |
[8] |
D. Karaboga and B. Basturk, A powerful and efficient algorithm for numerical function optimization: Artificial Bee Colony (ABC) Algorithm,, Journal of Global Optimization, 39 (2007), 459.
doi: 10.1007/s10898-007-9149-x. |
[9] |
D. Karaboga and B. Basturk, On the performance of artificial bee colony (ABC) algorithm,, Applied Soft Computing, 8 (2008), 687.
doi: 10.1016/j.asoc.2007.05.007. |
[10] |
D. Karaboga, Artificial bee colony algorithm,, Scholarpedia, 5 (2010).
doi: 10.4249/scholarpedia.6915. |
[11] |
L. Q. Meng and J. Q. Guo, Application of chaos particle swarm optimization algorithm to determination of water quality parameter of river steam,, Journal of Earth Sciences and Environment, 31 (2009), 169. Google Scholar |
[12] |
J. P. Wang and S. T. Cheng, Application of genetic algorithm and simplex method in parameter identification of complicated environmental model,, Journal of Hydraulic Engineering, 36 (2005), 674. Google Scholar |
[13] |
W. Wang, G. M. Zeng and L. He, Estimation of water quality model parameters with simulated annealing algorithm,, Shui Li Xue Bao, 6 (2004), 61. Google Scholar |
[14] |
X. H. Yang, Z. F. Yang and J. Q. Li, A new method for parameter identification in water environment model,, Advances in Water Science, 14 (2003), 554. Google Scholar |
[15] |
Y. J. Zhang, J. Q. Guo and H. S. Wang, Chaotic-Annealing algorithm for parameter identification of river water quality model,, China Rural Water and Hydropower, 1 (2006), 38. Google Scholar |
[16] |
S. Zhu, G. H. Mao and G. H. Liu, Parameters identification of river water quality model based on finite volume method-hybrid genetic algorithm,, Journal of Hydroelectric Engineering, 26 (2007), 91. Google Scholar |
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