Summary
A genetic algorithm can be effectively applied to the problem of optimizing the operation of a river/reservoir system for maximum economic return. Solution of such problems requires both a detailed model of the system and a powerful optimization technique. Standard approaches often represent a trade-off between model accuracy and optimization capability. When a large system is modeled in detail, optimization techniques such as dynamic programming may prove intractable. Alternately, techniques such as linear programming may not allow accurate system modelling. A genetic algorithm approach allows the use of an accurate system model while retaining powerful search capabilities. The effectiveness of this approach is demonstrated by the results of its application to a complex hydraulic/economic problem based on the Rio Grande Project in southern New Mexico.
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References
Austin, T. A., “Utilization of Models in Water Resources” , Water Resources Bulletin, Vol. 22, No. 1, February 1986, pages 49–53.
Davis, L. and M. Streenstrup, “Genetic Algorithms and Simulated Annealing: An Overview” , in Davis, L. (Editor), Genetic Algorithms and Simulated
Annealing, Morgan Kaufmann Publishers, Inc., Los Altos, CA, 1987, pages 1–11.
Fahmy, H., P. King, M. Wentzel, J. Seton, “Economic Optimization of River Management using Genetic Algorithms” . Presented at the 1994 International Summer Meeting: Engineering for Sustainable Development, Paper No. 943034. ASAE, St. Joseph, MI, 1994.
Grefenstette, J., “Optimization of Control Parameters for Genetic Algorithms” , IEEE Transactions of Systems, Man, and Cybernetics, Vol. SMC-16, No. 1, January/February 1986, pages 122–128.
Grefenstette, J., L. Davis, D. Cerys, “GENESIS and OOGA: Two Genetic Algorithm Systems” , The Software Partnership, Melrose, MA, 1991.
King, P., F. Ward, H. Fahmy, M. Wentzel, “Economic Optimization of River Management Using Genetic Algorithms” , WRRI Tech. Comp. Report No. 295, New Mexico Water Resources Research Institute, Las Cruces, NM, 1995.
Simonovic, S., “Reservoir Systems Analysis: Closing the Gap Between Theory and Practice” , Journal of Water Resources Planning and Management, Vol. 118, No. 3, May/June 1992, pages 262–280.
Wurbs, R. A., “Reservoir-System Simulation and Optimization Models” , Journal of Water Resources Planning and Management, Vol. 119, No. 4, July/August 1993, pages 455–472.
Yeh, W., “Reservoir Management and Operations Models: A State-of-the-Art Review” , Water Resources Research, Vol. 21, No. 12, December 1985, pages 1797–1818.
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© 1997 Springer-Verlag Berlin Heidelberg
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King, J.P., Fahmy, H.S., Wentzel, M.W. (1997). A Genetic Algorithm Approach for River Management. In: Dasgupta, D., Michalewicz, Z. (eds) Evolutionary Algorithms in Engineering Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03423-1_7
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DOI: https://doi.org/10.1007/978-3-662-03423-1_7
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