Abstract
The multi-objective genetic algorithm is applied to determine the optimal operation of a multi-reservoir system in the Chi River Basin, Thailand. Two competing objective functions are considered; dam release and dam storage. The predicted values for the release and storage needed are mostly lower than in current established management practice.
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References
Chang FJ, Chen L, Chang LC (2005) Optimizing the reservoir operating rule curves by genetic algorithms. Hydrol Processes 19:2277–2289
Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester
Edgeworth FY (1881) Mathematical physics. Keagan Paul, London
Goldberg DE (1989) Genetic algorithms in search optimization and machine learning. Addison-Wesley, Reading
Hinçal O, Altan-Sakarya AB, Ger AM (2011) Optimization of multireservoir systems by genetic algorithm. Water Resour Manag 25:1465–1487
Kim T, Heo JH, Jeong CS (2006) Multireservoir system optimization in the Han Tiver basin using multi-objective genetic algorithms. Hydrol Processes 20(9):2057–2075
Konak A, Coit DW, Smith AE (2006) Multi-objective optimization using genetic algorithms: a tutorial. Reliab Eng Syst Saf 91:992–1007
Labadie JW (2004) Optimal operation of multireservoir systems: state-of-the-art review. J Water Resour Plan Manag 130(2):93–111
Mantoglou A, Kourakos G (2007) Optimal groundwater remediation under uncertainty using multi-objective optimization. Water Resour Manag 21:835–847
Pareto V (1896) Cours d’economic politique. F. Rough, Lausanne
Reservoir operation (2011) The Northeastern Hydro Power Plant Center, Electricity Generating Authority of Thailand
Van Veldhuizen DA, Lamont GB (2000) Multiobjective evolutionary algorithms: analyzing the state-of-the-art. Evol Comput 8(2):125–147
Vučina D, Lozina Ž, Vlak F (2010) NPV-based decision support in multi-objective design using evolutionary algorithms. Eng Appl Artif Intel 23:48–60
Wardlaw R, Sharif M (1999) Evaluation of genetic algorithms for optimal reservoir system operation. J Water Resour Plan Manag ASCE 125(1):25–33
Wurbs RA (1993) Reservoir system simulation and optimization models. J Water Resour Plan Manag 119(4):455–472
Yeh WW-G (1985) Reservoir management and operations models: a state-of-the-art review. Water Resour Res 21(12):1797–1818
Acknowledgments
Financial support for this work was provided by Mahasarakham University, Thailand. The research facilities during the course of this work as a visitor to the School of Mathematical Sciences, Faculty of Engineering, Computer and Mathematical Sciences at the University of Adelaide (Australia) are gratefully acknowledged. The author would also like to thank the Northeastern Hydro Power Plant Center, Electricity Generating Authority of Thailand for data and Mr. Arthit Apichottanakul for his programming assistance.
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Kumphon, B. Genetic Algorithms for Multi-objective Optimization: Application to a Multi-reservoir System in the Chi River Basin, Thailand. Water Resour Manage 27, 4369–4378 (2013). https://doi.org/10.1007/s11269-013-0416-y
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DOI: https://doi.org/10.1007/s11269-013-0416-y