Guiding rational reservoir flood operation using penalty-type genetic algorithm

Journal of Hydrology

Volumn 354, Issue 1-4, 2008, Pages 65-74

  Chang, Li Chiu ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

Author keywords

Flood control; Genetic algorithms; Penalty strategy; Reservoir operation

Indexed keywords

CONSTRAINT THEORY; DECISION MAKING; GENETIC ALGORITHMS; OPTIMIZATION;

OBJECTIVE FUNCTIONS; PENALTY STRATEGY; RESERVOIR OPERATION;

FLOOD CONTROL;

CONSTRAINT THEORY; DECISION MAKING; FLOOD CONTROL; GENETIC ALGORITHMS; OPTIMIZATION;

FLOOD CONTROL; FLOOD DAMAGE; GENETIC ALGORITHM; HYDROGRAPH; OPTIMIZATION; RESERVOIR FLOODING; TYPHOON;

ASIA; EURASIA; FAR EAST; SHIHMEN RESERVOIR; TAIWAN;

EID: 43449094328     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2008.02.021     Document Type: Article

References (32)

1. Akter T., and Simonovic S.P. Modelling uncertainties in short-term reservoir operation using fuzzy sets and a genetic algorithm. Hydrological Sciences - Journal 49 6 (2004) 1081-1097
2. Bellman R. Dynamic Programming (1957), Princeton University Press, Princeton, NJ
3. Cai X., Mckinney D., and Lasdon L.S. Solving nonlinear water management model using a combined genetic algorithm and linear programming approach. Advanced Water Resources 2 6 (2001) 667-676
4. Chang L.C., and Chang F.J. Intelligent control for modeling of real time reservoir operation. Hydrological Processes 15 (2001) 1621-1634
5. Chang F.J., and Chen L. Real-coded genetic algorithm for rule-based flood control reservoir management. Water Resource Management 12 3 (1998) 185-198
6. Chang F.J., Chen L., and Chang L.C. Optimizing the reservoir operating rule curves by genetic algorithms. Hydrological Processes 19 (2005) 2277-2289
7. Chang F.J., Hui S.C., and Chen Y.C. Reservoir operation using grey fuzzy stochastic dynamic programming. Hydrological Processes 16 12 (2002) 2395-2408
8. Chang J.X., Huang Q., and Wang Y.M. Genetic algorithms for optimal reservoir dispatching. Water Resources Management 19 (2005) 321-331
9. Gen, M., Cheng, R., 1996. A survey of penalty techniques in genetic algorithms. In: Proceedings of the IEEE International Conference on Evolutionary Computation, pp. 804-809.
10. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning (1987), Addison-Wesley, Reading, Mass
11. Holland J.H. Adaptation in Natural and Artificial Systems. second ed. (1975), Mass. Inst. of Technol., Cambridge
12. Homaifar A., Lai S.H.-Y., and Qi X. Constrained optimization via genetic algorithms. Simulation 62 4 (1994) 242-254
13. Karbowski A., Malinowski K., and Niewiadomska-Szynkiewicz E. A hybrid analytic/rule-based approach to reservoir system management during flood. Decision Support Systems 38 (2005) 599-610
14. Labadie J.W. Optimal operation of multireservoir systems: state-of-the art-review. Journal of Water Resources Planning and Management 130 2 (2004) 93-111
15. Labadie J.W., Bode D.A., and Pineda A.M. Network model for decision-support in municipal raw water supply. Water Resources Bulletin 22 6 (1986) 927-940
16. Michalewicz Z. Genetic Algorithms + Data Structures = Evolution Programs. third ed. (1999), Springer-Verlag, New York
17. Needham J.T., Watkins D.W., and Lund J.R. Linear programming for flood control in the Iowa and Des Moines rivers. Journal of Water Resources Planning and Management 126 3 (2000) 118-127
18. Oliveira R., and Loucks D. Operating rules for multireservoir systems. Water Resources Research 33 4 (1997) 839-852
19. Randall D., Cleland L., Kuehne C.S., Link G.W., and Sheer D.P. Water supply planning simulation model using mixed-integer linear programming "Engine". Journal of Water Resources Planning and Management 123 2 (1997) 116-124
20. Reis L.F.R., Walters G.A., Savic D., and Chaudhry F.H. Mulit-reservoir operation planning using hybrid genetic algorithm and linear programming (GA-LP): an alternative stochastic approach. Water Resources Management 19 (2005) 831-848
21. Richardson J.T., Palmer M.R., Liepins G., and Hilliar M. Some guidelines for genetic algorithms with penalty functions. Proceedings of the Third International Conference on Genetic Algorithms (1989) 191-197
22. Sharif M., and Wardlaw R. Multireservoir systems optimization using genetic algorithms: case study. Journal of Computing in Civil Engineering 14 4 (2000) 255-263
23. Shim K.C., Fontane D., and Labadie J.W. Spatial decision support system for integrated river basin flood control. Journal of Water Resources Planning and Management 128 3 (2002) 190-201
24. Trezos T., and Yeh W.W.G. Use of stochastic dynamic programming for reservoir management. Water Resources Research 23 (1987) 983-996
25. Wardlaw R., and Sharif M. Evaluation of genetic algorithms for optimal reservoir system operation. Journal of Water Resources Planning and Management 125 1 (1999) 25-33
26. Westphal K.S., Vogel R.M., Kirshen P., and Chapra S.C. Decision support system for adaptive water supply management. Journal of Water Resources Planning and Management 129 3 (2003) 165-177
27. Windsor J.S. Optimization model for the operation of flood control systems. Water Resources Research 9 5 (1973) 1219-1226
28. Windsor J.S. A programing model for the design of multireservoir flood control systems. Water Resources Research 11 1 (1975) 30-36
29. Wurbs R. Reservoir-system simulation and optimization models. Journal of Water Resources Planning and Management 119 4 (1993) 455-472
30. The Report of the World Commission on Dams. Dams and Development - A New Framework for Decision-making (2000), Earthscan Pub. Ltd., London and Sterling, VA
31. Yeh W. Reservoir management and operation models: A state-of-the-art review. Water Resources Research 21 12 (1985) 1797-1818
32. Yeniay O. Penalty function methods for constrained optimization with genetic algorithms. Mathematical and Computational Application 10 1 (2005) 45-56