Using the shuffled complex evolution global optimization method to solve groundwater management models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3841 LNCS, Issue , 2006, Pages 986-995

  Wu, Jichun ^a   Zhu, Xiaobin ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFERS; CONTAMINATION; COSTS; DYNAMIC PROGRAMMING; HYDROGEOLOGY; MANAGEMENT INFORMATION SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING; QUADRATIC PROGRAMMING;

DIFFERENCE DYNAMIC PROGRAMMING (DDP); NONLINEAR PROBLEMS; SEQUENTIAL QUADRATIC PROGRAMMING (SQP); UNIVERSITY OF ARIZONA (SCE-UA);

GROUNDWATER RESOURCES;

EID: 33745678762     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11610113_105     Document Type: Conference Paper

References (25)

1. Nelder, J.A., Mead, R. A simplex method for function minimization. Computer Journal, 1965, 7(4): 308-313.
2. Zhou Ming, Sun Shudong. Theroy and Applicaitions of Genetic Algorithm. Beijing: National Defence Industry Press, 2002.
3. Rang Lishan, Xie Yun, Luo Zuhua. Non-numerical parallel arithmetic - simulated annealing. Beijing: Science Press, 1998.
4. Zheng Hongxing, Li Lijuan. Stochastic optimization on parameters of water quality model. Geographical Research, 2001, 20(1):97-102.
5. Wang Q J. The genetic algorithm and it's application to calibrating conceptual rainfall-runoff models. Water Resources, 1991, 27(9)-.2467-2471.
6. Mckinney D C, Lin M-D. Genetic algorithm solution of groundwater management models. Water Resour Res, 1994,30(6):1897-1906.
7. Ritzel B J, Eheart J W, Ranjithan S. Using genetic algorithms to solve a multiple objective groundwater pollution containment problem. Water Resour Res, 1994,30(5):1589-1603.
8. Mckinney D C, Lin M D. Genetic algorithm solution of groundwater management models. Water Resour Res, 1994,30(6):1897-1906.
9. Cieniawski S E, Eheart J W, Ranjithan S. Using genetic algorithms to solve a multiobjective groundwater monitoring problems. Water Resour Res, 1995,31 (2) :399-409.
10. Shao Jingli, Wei Jiahua, Cui Yali et al.,Solution to groundwater management model using genetic algorithm, Earth Science-Journal of China University of Geosciences (in Chinese with English abstract), 1998,23(5):532-536.
11. Lu Guihua, Li Jianqiang, Yang Xiaohua. Application of genetic algorithms to parameter optimization of hydrology model. Journal of Hydraulic Engineering, 2004,(2):50-56.
12. Kirkpatrick S, Gelatt C D, Vecchi M P. Optimization by simulated annealing. Science, 1983,220(4598):671-680.
13. Doughterty D E, Marryott R A. Optimal groundwater management. 1 Simulated annealing. Water Resour Res, 1991,27(10):2493-2508.
14. Wu Jianfeng, Zhu Xueyu, Liu Jianli. Using genetic algorithm based simulated annealing penalty function to solve groundwater management model. Scien in China (Series E),1999,29(5):474-480.
15. Wu Jianfeng, Zhu Xueyu, Qian Jiazhong, et al., Application of GASAPF to optimization model for fracture-karst water resources management, Journal of Hydraulic Engineering, 2000,(12):7-13.
16. Duan, Q., Sorooshian, S., Gupta, V. K., Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour Res,1992,28(4):1015-1031
17. Duan, Q. Y., Gupta, V. K., Sorooshian, S., Shuffled complex evolution approach for effective global minimization. Journal of optimization theory and applications, 1993,76(3) :501-521.
18. Can, Y. G., Biftu, G. F., Automatic calibration of conceptual rainfall-runoff models: Optimization algorithms, catchment conditions and model structure. Water Resour Res, 1996,32(12):3513-3524.
19. Cooper, V. A., Nguyen, V. T. V, Nicell, J. A., evaluation of global optimization methods for conceptual rainfall runoff model calibration. Water Sci. Technol., 1997,36(5) :53-60.
20. Sorooshian, S., Duan, Q., Gupta, V. K. Calibration of rainfall runoff models: Application of global optimization to the Sacramento soil moisture accounting model. Water Resour Res, 1993,29(40:1185-1194.
21. Kuczera, G., Efficient subspace probabilistic parameter optimization for catchment models. Water Resour Res, 1997,33(1):177-185.
22. Ha puarachchi, H.A.P., Li, Z. J., Ranjit, M., et al. Application of global optimization technique for calibrating the Xinanjiang watershed model. Lowland Technology International, 2001,3:43-57.
23. Tanakamaru, H., Burges, S. J., Application of global optimization to parameter estimation of the TANK model, Proc. Ink. Conf. On Water Resour. And Environ. Res., Kyoto, Japan, 2:39-46.
24. Luce, C. H., Cundy, T. W. Parameter identification for a runoff model for forest roads, Water Resour Res, 1994,30(4):1057-1069.
25. Eckhardt, K., Arnold, J. G., Automatic calibration of a distributed catchment model. Journal of Hydrology, 2001,251:103-109.