Water allocation improvement in river basin using Adaptive Neural Fuzzy Reinforcement Learning approach

Applied Soft Computing Journal

Volumn 7, Issue 1, 2007, Pages 265-285

  Abolpour, B ^a   Javan, M ^a   Karamouz, M ^b  

^a SHIRAZ UNIVERSITY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Adaptive Neural Fuzzy Inference System; Optimal water allocation; Reinforcement Learning

Indexed keywords

ADAPTIVE SYSTEMS; CATCHMENTS; DATA REDUCTION; LEARNING SYSTEMS; NEURAL NETWORKS;

ADAPTIVE NEURAL FUZZY INFERENCE SYSTEMS; OPTIMAL WATER ALLOCATION; REINFORCEMENT LEARNING; RESOURCES MANAGEMENT;

RESOURCE ALLOCATION;

EID: 33750953806     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2005.02.007     Document Type: Article

References (28)

1. Yeh W.W.-G. Reservoir management and operations models: a state of the art review. Water Resour. Res. 21 12 (1985) 1797-1818
2. Labadie J.W. Combining simulation and optimization in river basin management. In: Marco J.B., et al. (Ed). Stochastic Hydrology and its Use in Water Resources Systems Simulation and Optimization (1993), Kluwer Academic Publishers 345-370
3. Bogardi J.J., and Nachtnebel H.P. Multicriteria Decision Analysis in Water Resources Management. International Hydrological Program (1994), UNESCO, Paris
4. Karamouz M., Houck M.H., and Delleur J.W. Optimization and simulation of multiple reservoir systems with an implicitly stochastic scheme. J. Water Resour. Plann. Manage. 118 1 (1992) 71-81
5. Owen W., Gates T.K., and Flug M. Variability in perceived satisfaction of reservoir management objectives. J. Water Resour. Plann. Manage. 123 3 (1997) 147-153
6. Fontane D.G., Gates T.K., and Moncada E. Planning reservoir operations with imprecise objectives. J. Water Resour. Plann. Manage. 123 3 (1997) 154-163
7. Sasikumar K., and Mujumdar P.P. Fuzzy optimization model for water quality management of a river system. J. Water Resour. Plann. Manage. 124 2 (1998) 79-87
8. Dubrovin T., Jolma A., and Turunen E. Fuzzy model for real-time reservoir operation. J. Water Resour. Plann. Manage. 128 1 (2002) 66-73
9. Tilmant A., Faouzi E.H., and Vanclooster M. Optimal operation of multipurpose reservoirs using flexible stochastic dynamic programming. Appl. Soft Comput. 2 (2002) 61-74
10. Karamouz M., and Mousavi S.J. Uncertainty based operation of large-scale reservoir systems. J. Am. Water Resour. Assoc. (2003)
11. Molden D.J., and Gates T.K. Performance measures for evaluation of irrigation water delivery systems. J. Irrig. Drain. Eng. 116 6 (1990) 804-823
12. Gates T.K., and Ahmed S.I. Sensitivity of predicted irrigation delivery performance to hydraulic and hydrologic uncertainty. J. Agric. Water Manage. 27 (1995) 267-282
13. Belaineh G., Peralta R.C., and Hughes T.C. Simulation/optimization modeling for water resources management. J. Water Resour. Plann. Manage. 125 3 (1999) 154-161
14. Sasaki M., and Gen M. Fuzzy multiple objective optimal system design by hybrid genetic algorithm. Appl. Soft Comput. 2 (2003) 189-196
15. Papadrakakis M., and Lagaros N.D. Soft computing methodologies for structural optimization. Appl. Soft Comput. 3 (2003) 283-300
16. Oh S.K., Pedrycz W., and Ahn T.C. Self-organizing neural networks with fuzzy polynomial neurons. Appl. Soft Comput. 2 (2002) 1-10
17. Jang J.S.-R., Sun C.T., and Mizutani E. Neuro-fuzzy and Soft Computing (1997), Prentice-Hall International Inc.
18. Li H., Chen G.L.-P., and Huang H.P. Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in Engineering (2001), CRC Press
19. Jacobs J.M., and Vogel M. Optimal allocation of water withdrawals in a river basin. J. Water Resour. Plann. Manage. 124 6 (1998) 357-363
20. Malek M.E. Irrigation planning: integrated approach. J. Water Resour. Plann. Manage. 124 5 (1998) 272-279
21. Jouffe L. Fuzzy inference system learning by reinforcement methods, IEEE transaction on systems. Man Cybernet., Part C 28 3 (1998) 338-355
22. Apple M., and Brauer W. Fuzzy model-based reinforcement learning. Proceedings of the European Symposium on Intelligent Techniques. ESIT2000, Aachen, Germany (2000) 212-218
23. Harris J. An Introduction to Fuzzy Logic Applications: Microprocessor-based and Intelligent Systems Engineering (2000), Kluwer Academic Publishers
24. Odhiambo L.O., Yoder R.E., Yoder D.C., and Hines J.W. Optimization of fuzzy evapotranspiration model through neural training with input-output examples. Trans. ASAE 44 6 (2001) 1625-1633
25. Zimmermann H.J. Fuzzy Set Theory and its Applications. 3rd ed. (1996), Kluwer Academic Publishers
26. Hashimoto T., Stedinger J.R., and Loucks D.P. Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. J. Water Resour. Res. 18 1 (1982) 14-20
27. B. Abolpour, Simulation and optimization water allocation in Kor and Seevand river basins, Ph.D. Thesis, Department of Water Eng., University of Shiraz, Shiraz, Iran, 2005.
28. Nguyen H.T., and Prasad N.R. Fuzzy Modeling and Control: Selected Works of Sugeno (1999), CRC Press